Data Science Certification Courses in mumbai. ExcelR is the Best Data Science Training Institute in mumbai with Placement assistance and offers a blended model
SVM algorithms create hyperplanes that divide data into partitions to classify data points. They aim to find the flat boundary that maximizes the margin between the partitions. SVMs can handle both classification and regression tasks. They can map data into higher dimensions to allow for nonlinear separation using kernel tricks. This addresses limitations of linear separability. Neural networks model relationships between input and output signals, similarly to biological neurons. They use interconnected artificial neurons and weighted connections between layers to process and learn from data.
Excelr is the best in providing emerging technology training like Machine learning, Data Science, Hadoop, Artificial Intelligence and many more. So go and get enroll now.
Machine Learning Course in Pune.Excelr is the best institute for Machine Learning course. Here you got a very Top-notch faculty with much experience,and they are also providing the Certifications from the University of Malaysia. ExcelR is a global leader in technical and management training catering the training needs of the professionals in more than 27 countries with offices in USA, Malaysia, India etc. with over 21 branches across the globe.
https://www.excelr.com/machine-learning-course-training-in-pune/
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while ANNs typically contain hundreds. ANNs use artificial neurons that receive input signals which are weighted based on importance and passed through an activation function to determine if an output is produced. Network topology, such as the number of layers and connections, impacts a neural network's ability to learn. Support vector machines use hyperplanes to create boundaries that separate data points into partitions. SVMs can perform classification and prediction tasks and use kernels to map data to higher dimensions where relationships may become linear.
Attend the Best Machine learning training Courses in Hyderabad From ExcelR. Practical Machine learningTraining Sessions with Assured Placement From Excelr Solutions.
Attend The Machine Learning course in Bangalore From ExcelR. Practical Machine Learning course in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Machine Learning course in Bangalore.
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
SVM algorithms create hyperplanes that divide data into partitions to classify data points. They aim to find the flat boundary that maximizes the margin between the partitions. SVMs can handle both classification and regression tasks. They can map data into higher dimensions to allow for nonlinear separation using kernel tricks. This addresses limitations of linear separability. Neural networks model relationships between input and output signals, similarly to biological neurons. They use interconnected artificial neurons and weighted connections between layers to process and learn from data.
Excelr is the best in providing emerging technology training like Machine learning, Data Science, Hadoop, Artificial Intelligence and many more. So go and get enroll now.
Machine Learning Course in Pune.Excelr is the best institute for Machine Learning course. Here you got a very Top-notch faculty with much experience,and they are also providing the Certifications from the University of Malaysia. ExcelR is a global leader in technical and management training catering the training needs of the professionals in more than 27 countries with offices in USA, Malaysia, India etc. with over 21 branches across the globe.
https://www.excelr.com/machine-learning-course-training-in-pune/
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while ANNs typically contain hundreds. ANNs use artificial neurons that receive input signals which are weighted based on importance and passed through an activation function to determine if an output is produced. Network topology, such as the number of layers and connections, impacts a neural network's ability to learn. Support vector machines use hyperplanes to create boundaries that separate data points into partitions. SVMs can perform classification and prediction tasks and use kernels to map data to higher dimensions where relationships may become linear.
Attend the Best Machine learning training Courses in Hyderabad From ExcelR. Practical Machine learningTraining Sessions with Assured Placement From Excelr Solutions.
Attend The Machine Learning course in Bangalore From ExcelR. Practical Machine Learning course in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Machine Learning course in Bangalore.
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
Machine Learning Course in Pune.Excelr is the best institute for Machine Learning course. Here you got a very Top-notch faculty with much experience,and they are also providing the Certifications from the University of Malaysia. ExcelR is a global leader in technical and management training catering the training needs of the professionals in more than 27 countries with offices in USA, Malaysia, India etc. with over 21 branches across the globe.
https://www.excelr.com/machine-learning-course-training-in-pune/
Data analytics certification in mumbaiTejaspathiLV
Data Analytics/ Analytics certification course is an extremely high-in-demand profession which requires a professional to possess sound knowledge of analysing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue).ExcelR’s Data Analytics/ Analytics curriculum is meticulously designed and delivered matching the industry needs and considered to be the best in the industry
Machine Learning Certification in Pune.ExcelR is a global leader in technical and management training catering the training needs of the professionals in more than 27 countries with offices in USA, Malaysia, India etc. with over 21 branches across the globe.It is the best institute for Machine Learning course. Here you got a very Top-notch faculty with much experience,and they are also providing the Certifications from the University of Malaysia.
https://www.excelr.com/machine-learning-course-training-in-pune/
Artificial Intelligence (AI) is the big thing in the technology field and a large number of organizations are implementing AI and the demand for professionals in AI is growing at an amazing speed. Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI) to make computer programs to solve problems and achieve goals in the world.
Machine Learning is a wide area of Artificial Intelligence focused in the design and development of an algorithm that identifies and learn patterns exist in data provided as input.
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
ExcelR’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence. This course doesn’t need any programming skills. Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI) to make computer programs to solve problems and achieve goals in the world.
http://www.excelr.com/artificial-intelligence-ai-course-training-in-gurgaon/
Support vector machines (SVMs) create a boundary called a hyperplane to divide data points into partitions. The goal is to make the partitions as homogeneous as possible. SVMs can be adapted for classification or prediction tasks. They work by mapping data into a higher dimensional space to find linear separability. Neural networks model the relationship between input and output signals, similar to biological neurons. They use a network of artificial neurons to solve learning problems. Each neuron receives weighted inputs that are summed and passed through an activation function to produce an output. The topology of a neural network, such as the number of layers and nodes, affects its ability to learn.
Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI)
to make computer programs to solve problems and achieve goals in the world. ExcelR’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence.
This course doesn’t need any programming skills.
http://www.excelr.com/artificial-intelligence-ai-course-training-in-hyderabad/
Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI)
to make computer programs to solve problems and achieve goals in the world. ExcelR’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence.
This course doesn’t need any programming skills.
http://www.excelr.com/artificial-intelligence-ai-course-training-in-hyderabad
Artificial Neural Networks ppt.pptx for final sem cseNaveenBhajantri1
This document provides an overview of artificial neural networks. It discusses the biological inspiration from neurons in the brain and how artificial neural networks mimic this structure. The key components of artificial neurons and various network architectures are described, including fully connected, layered, feedforward, and modular networks. Supervised and unsupervised learning approaches are covered, with backpropagation highlighted as a commonly used supervised algorithm. Applications of neural networks are mentioned in areas like medicine, business, marketing and credit evaluation. Advantages include the ability to handle complex nonlinear problems and noisy data.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
PMI® Agile Certified Practitioner (PMI-ACP)® certification is the most sort after in the agile world. This includes the agile practices from various methodologies such as Scrum, Extreme Programming (XP), Lean, Kanban, DSDM Atern, etc. The World has realized that “one size does not fit all”, hence (PMI-ACP)® helps you perform a fit-gap analysis and use practices from various agile methodologies which best addresses the pain area. The training offered by ExcelR Solutions includes the content which is aligned with PMI®.
This document provides an overview of Project Management Professional (PMP) certification. It discusses why the PMP is valuable for career advancement and increased success in project management. It outlines the eligibility requirements, including education, training hours, and experience leading projects. The examination process is also summarized, including the distribution of questions across different process groups, grading procedures, and scheduling an exam.
This document contains an agenda for a training program on data science using R, Minitab, and XLMiner. The agenda covers topics like data visualization using Tableau, supervised and unsupervised data mining techniques, text mining and natural language processing, statistical analysis, data mining, forecasting, and an introduction to big data. It emphasizes that data scientists need skills in domains, statistics, data mining, visualization, and forecasting. Brief sections provide overviews of data types, random variables, probability, probability distributions, sampling, and how to contact the training providers.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
Machine Learning Course in Pune.Excelr is the best institute for Machine Learning course. Here you got a very Top-notch faculty with much experience,and they are also providing the Certifications from the University of Malaysia. ExcelR is a global leader in technical and management training catering the training needs of the professionals in more than 27 countries with offices in USA, Malaysia, India etc. with over 21 branches across the globe.
https://www.excelr.com/machine-learning-course-training-in-pune/
Data analytics certification in mumbaiTejaspathiLV
Data Analytics/ Analytics certification course is an extremely high-in-demand profession which requires a professional to possess sound knowledge of analysing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue).ExcelR’s Data Analytics/ Analytics curriculum is meticulously designed and delivered matching the industry needs and considered to be the best in the industry
Machine Learning Certification in Pune.ExcelR is a global leader in technical and management training catering the training needs of the professionals in more than 27 countries with offices in USA, Malaysia, India etc. with over 21 branches across the globe.It is the best institute for Machine Learning course. Here you got a very Top-notch faculty with much experience,and they are also providing the Certifications from the University of Malaysia.
https://www.excelr.com/machine-learning-course-training-in-pune/
Artificial Intelligence (AI) is the big thing in the technology field and a large number of organizations are implementing AI and the demand for professionals in AI is growing at an amazing speed. Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI) to make computer programs to solve problems and achieve goals in the world.
Machine Learning is a wide area of Artificial Intelligence focused in the design and development of an algorithm that identifies and learn patterns exist in data provided as input.
Neural networks are modeled after the human brain and use interconnected nodes like neurons to solve learning problems. The human brain contains around 85 billion neurons while even large artificial neural networks only contain a few hundred nodes. Biological neurons receive input signals through dendrites that are weighted based on importance before being passed to other neurons. Similarly, an artificial neuron receives weighted input signals that are summed and passed through an activation function to produce an output. Key characteristics of neural network topology include the number of layers, whether connections travel in one or both directions, and the number of nodes per layer. Support vector machines use hyperplanes to create boundaries that separate different classes of data in multidimensional space. They can perform classification or prediction tasks and use kernel methods to
ExcelR’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence. This course doesn’t need any programming skills. Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI) to make computer programs to solve problems and achieve goals in the world.
http://www.excelr.com/artificial-intelligence-ai-course-training-in-gurgaon/
Support vector machines (SVMs) create a boundary called a hyperplane to divide data points into partitions. The goal is to make the partitions as homogeneous as possible. SVMs can be adapted for classification or prediction tasks. They work by mapping data into a higher dimensional space to find linear separability. Neural networks model the relationship between input and output signals, similar to biological neurons. They use a network of artificial neurons to solve learning problems. Each neuron receives weighted inputs that are summed and passed through an activation function to produce an output. The topology of a neural network, such as the number of layers and nodes, affects its ability to learn.
Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI)
to make computer programs to solve problems and achieve goals in the world. ExcelR’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence.
This course doesn’t need any programming skills.
http://www.excelr.com/artificial-intelligence-ai-course-training-in-hyderabad/
Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI)
to make computer programs to solve problems and achieve goals in the world. ExcelR’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence.
This course doesn’t need any programming skills.
http://www.excelr.com/artificial-intelligence-ai-course-training-in-hyderabad
Artificial Neural Networks ppt.pptx for final sem cseNaveenBhajantri1
This document provides an overview of artificial neural networks. It discusses the biological inspiration from neurons in the brain and how artificial neural networks mimic this structure. The key components of artificial neurons and various network architectures are described, including fully connected, layered, feedforward, and modular networks. Supervised and unsupervised learning approaches are covered, with backpropagation highlighted as a commonly used supervised algorithm. Applications of neural networks are mentioned in areas like medicine, business, marketing and credit evaluation. Advantages include the ability to handle complex nonlinear problems and noisy data.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
PMI® Agile Certified Practitioner (PMI-ACP)® certification is the most sort after in the agile world. This includes the agile practices from various methodologies such as Scrum, Extreme Programming (XP), Lean, Kanban, DSDM Atern, etc. The World has realized that “one size does not fit all”, hence (PMI-ACP)® helps you perform a fit-gap analysis and use practices from various agile methodologies which best addresses the pain area. The training offered by ExcelR Solutions includes the content which is aligned with PMI®.
This document provides an overview of Project Management Professional (PMP) certification. It discusses why the PMP is valuable for career advancement and increased success in project management. It outlines the eligibility requirements, including education, training hours, and experience leading projects. The examination process is also summarized, including the distribution of questions across different process groups, grading procedures, and scheduling an exam.
This document contains an agenda for a training program on data science using R, Minitab, and XLMiner. The agenda covers topics like data visualization using Tableau, supervised and unsupervised data mining techniques, text mining and natural language processing, statistical analysis, data mining, forecasting, and an introduction to big data. It emphasizes that data scientists need skills in domains, statistics, data mining, visualization, and forecasting. Brief sections provide overviews of data types, random variables, probability, probability distributions, sampling, and how to contact the training providers.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
This document provides an overview of multinomial regression. It begins with an agenda that includes multinomial regression, zero-inflated Poisson regression, and negative binomial regression. It then discusses multinomial regression in more detail, explaining that it is an extension of logistic regression used when the output has more than two categories. It also discusses model outputs such as iteration history, log odds ratios, and goodness of fit measures like residual deviance and AIC criterion.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
PMI® Agile Certified Practitioner (PMI-ACP)® certification is the most sort after in the agile world. This includes the agile practices from various methodologies such as Scrum, Extreme Programming (XP), Lean, Kanban, DSDM Atern, etc. The World has realized that “one size does not fit all”, hence (PMI-ACP)® helps you perform a fit-gap analysis and use practices from various agile methodologies which best addresses the pain area. The training offered by ExcelR Solutions includes the content which is aligned with PMI®.
PMI® Agile Certified Practitioner (PMI-ACP)® certification is the most sort after in the agile world. This includes the agile practices from various methodologies such as Scrum, Extreme Programming (XP), Lean, Kanban, DSDM Atern, etc. The World has realized that “one size does not fit all”, hence (PMI-ACP)® helps you perform a fit-gap analysis and use practices from various agile methodologies which best addresses the pain area. The training offered by ExcelR Solutions includes the content which is aligned with PMI®.
https://www.excelr.com/pmi-agile-certified-practitioner/
PMI® Agile Certified Practitioner (PMI-ACP)® certification is the most sort after in the agile world. This includes the agile practices from various methodologies such as Scrum, Extreme Programming (XP), Lean, Kanban, DSDM Atern, etc. The World has realized that “one size does not fit all”, hence (PMI-ACP)® helps you perform a fit-gap analysis and use practices from various agile methodologies which best addresses the pain area. The training offered by ExcelR Solutions includes the content which is aligned with PMI®.
https://www.excelr.com/pmi-agile-certified-practitioner/
PMI® Agile Certified Practitioner (PMI-ACP)® certification is the most sort after in the agile world. This includes the agile practices from various methodologies such as Scrum, Extreme Programming (XP), Lean, Kanban, DSDM Atern, etc. The World has realized that “one size does not fit all”, hence (PMI-ACP)® helps you perform a fit-gap analysis and use practices from various agile methodologies which best addresses the pain area. The training offered by ExcelR Solutions includes the content which is aligned with PMI®.
ExcelR is a proud partner of University Malaysia Sarawak (UNIMAS), Malaysia's 1st public University and ranked 8th top university in Malaysia and ranked among top 200th in Asian University Rankings 2017 by QS World University Rankings. Participants will be awarded Data Science International Certification from UNIMAS after successfully clearing the online examination.
This document provides information about the Project Management Professional (PMP) certification. It discusses the eligibility requirements to take the PMP exam, including education and experience requirements. It also describes the exam pattern, including the 4 hour duration, 200 questions with 25 being pre-test questions, grading across five process groups, and no negative marking. Finally, it provides a high-level introduction to project management concepts like the project life cycle, development life cycles, and phase gates.
https://www.excelr.com/pmi-agile-certified-practitioner/
PMI® Agile Certified Practitioner (PMI-ACP)® certification is the most sort after in the agile world. This includes the agile practices from various methodologies such as Scrum, Extreme Programming (XP), Lean, Kanban, DSDM Atern, etc. The World has realized that “one size does not fit all”, hence (PMI-ACP)® helps you perform a fit-gap analysis and use practices from various agile methodologies which best addresses the pain area. The training offered by ExcelR Solutions includes the content which is aligned with PMI®.
This document provides information about the Project Management Professional (PMP) certification. It discusses the eligibility requirements to take the PMP exam, including education and experience requirements. It also describes the exam pattern, including the 4 hour duration, 200 questions with 25 being pre-test questions, grading across five process groups, and no negative marking. Finally, it provides a high-level introduction to project management concepts like the project life cycle, development life cycle, and phase gates.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Information and Communication Technology in EducationMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 2)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐈𝐂𝐓 𝐢𝐧 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
Students will be able to explain the role and impact of Information and Communication Technology (ICT) in education. They will understand how ICT tools, such as computers, the internet, and educational software, enhance learning and teaching processes. By exploring various ICT applications, students will recognize how these technologies facilitate access to information, improve communication, support collaboration, and enable personalized learning experiences.
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭:
-Students will be able to discuss what constitutes reliable sources on the internet. They will learn to identify key characteristics of trustworthy information, such as credibility, accuracy, and authority. By examining different types of online sources, students will develop skills to evaluate the reliability of websites and content, ensuring they can distinguish between reputable information and misinformation.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Creative Restart 2024: Mike Martin - Finding a way around “no”Taste
Ideas that are good for business and good for the world that we live in, are what I’m passionate about.
Some ideas take a year to make, some take 8 years. I want to share two projects that best illustrate this and why it is never good to stop at “no”.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
3. A Support Vector Machine (SVM) can be imagined as a surface that creates a
boundary between points of data plotted in multidimensional that represent
examples and their feature values
The goal of a SVM is to create a flat boundary called a hyperplane, which divides
the space to create fairly homogeneous partitions on either side
SVMs can be adapted for use with nearly any type of learning task, including
both classification and numeric prediction
4. Classification with hyper planes
For example, the following figure depicts hyperplanes that separate groups
of circles and squares in two and three dimensions. Because the circles and
squares can be separated perfectly by the straight line or flat surface, they
are said to be linearly separable
5. Which is the “best” Fit!
In two dimensions, the task of the SVM algorithm is to identify a line that
separates the two classes. As shown in the following figure, there is more than
one choice of dividing line between the groups of circles and squares. How does
the algorithm choose
8. Nonlinearly separable data
A cost value (denoted as C) is applied to all points that violate the constraints,
and rather than finding the maximum margin, the algorithm attempts to minimize
the total cost. We can therefore revise the optimization problem to:
9. Using kernels for non-linear spaces
A key feature of SVMs is their ability to map the problem into a higher
dimension space using a process known as the kernel trick. In doing so, a
nonlinear relationship may suddenly appear to be quite linear.
After the kernel trick has been applied, we look at the data
through the lens of a new dimension: altitude. With the addition
of this feature, the classes are now perfectly linearly separable
11. Understanding neural networks
An Artificial Neural Network (ANN) models the relationship between a set of input
signals and an output signal using a model derived from our understanding of
how a biological brain responds to stimuli from sensory inputs. Just as a brain
uses a network of interconnected cells called neurons to create a massive parallel
processor, ANN uses a network of artificial neurons or nodes to solve learning
problems
The human brain is made up of about 85 billion neurons, resulting in a
network capable of representing a tremendous amount of knowledge
For instance, a cat has roughly a billion neurons, a mouse has about 75
million neurons, and a cockroach has only about a million neurons. In
contrast, many ANNs contain far fewer neurons, typically only several
hundred, so we're in no danger of creating an artificial brain anytime in the
near future
12. Biological to artificial neurons
Incoming signals are received by the cell's dendrites through a biochemical process. The
process allows the impulse to be weighted according to its relative importance or frequency. As
the cell body begins accumulating the incoming signals, a threshold is reached at which the cell
fires and the output signal is transmitted via an electrochemical process down the axon. At the
axon's terminals, the electric signal is again processed as a chemical signal to be passed to the
neighboring neurons.
13. This directed network diagram defines a
relationship between the input signals
received by the dendrites (x variables), and
the output signal (y variable). Just as with the
biological neuron, each dendrite's signal is
weighted (w values) according to its
importance. The input signals are summed
by the cell body and the signal is passed on
according to an activation function denoted
by f
A typical artificial neuron with n input dendrites can be
represented by the formula that follows. The w weights
allow each of the n inputs (denoted by xi) to contribute
a greater or lesser amount to the sum of input signals.
The net total is used by the activation function f(x), and
the resulting signal, y(x), is the output axon
14. In biological sense, the activation function could be imagined as a process that
involves summing the total input signal and determining whether it meets the firing
threshold. If so, the neuron passes on the signal; otherwise, it does nothing. In ANN
terms, this is known as a threshold activation function, as it results in an output signal
only once a specified input threshold has been attained
The following figure depicts a typical threshold function; in this case,
the neuron fires when the sum of input signals is at least zero.
Because its shape resembles a stair, it is sometimes called a unit step
activation function
15. Network topology
The ability of a neural network to learn is rooted in its topology, or the
patterns and structures of interconnected neurons
key characteristics
• The number of layers
• Whether information in the network is allowed to travel backward
• The number of nodes within each layer of the network
16. Number of layers
The input and output nodes are arranged in groups known as layers
Input nodes process the incoming data exactly as it is received, the
network has only one set of connection weights (labeled here as w1,
w2, and w3). It is therefore termed a single-layer network