Machine Learning in 10 Minutes | What is Machine Learning? | Edureka
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YouTube Link: https://youtu.be/qWHi09C3Dq0 ** Machine Learning Training with Python: https://www.edureka.co/machine-learning-certification-training** This Edureka video on 'Machine Learning in 10 Minutes' will help you understand what exactly is Machine Learning and what are the different types of Machine Learning along with some career opportunities that you can achieve through Machine Learning. Example What is AI? What is Machine Learning Steps for Machine Learning Types of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Applications of Machine Learning What can you be with Machine Learning? Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Castbox: https://castbox.fm/networks/505?country=in
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A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
Learn more at: https://www.simplilearn.com/
Machine Learning Tutorial Part - 1 | Machine Learning Tutorial For Beginners ...
This presentation on Machine Learning will help you understand why Machine Learning came into picture, what is Machine Learning, types of Machine Learning, Machine Learning algorithms with a detailed explanation on linear regression, decision tree & support vector machine and at the end you will also see a use case implementation where we classify whether a recipe is of a cupcake or muffin using SVM algorithm. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, to put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. Now, let us get started with this Machine Learning presentation and understand what it is and why it matters.
Below topics are explained in this Machine Learning presentation:
1. Why Machine Learning?
2. What is Machine Learning?
3. Types of Machine Learning
4. Machine Learning Algorithms
- Linear Regression
- Decision Trees
- Support Vector Machine
5. Use case: Classify whether a recipe is of a cupcake or a muffin using SVM
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
Learn more at: https://www.simplilearn.com/
Machine Learning
Machine Learning. What is machine learning. Normal computer vs ML. Types of Machine Learning. Some ML Object detection methods. Faster CNN, RCNN, YOLO, SSD. Real Life ML Applications. Best Programming Languages for ML. Difference Between Machine Learning And Artificial Intelligence. Advantages of Machine Learning. Disadvantages of Machine Learning
Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algori...
This Machine Learning presentation is ideal for beginners to learn Machine Learning from scratch. By the end of this presentation, you will learn why Machine Learning is so important in our lives, what is Machine Learning, the various types of Machine Learning (Supervised, Unsupervised and Reinforcement learning), how do we choose the right Machine Learning solution, what are the different Machine Learning algorithms and how do they work (with simple examples and use-cases).
This Machine Learning presentation will cover the following topics:
1. Life without Machine Learning
2. Life with Machine Learning
3. What is Machine Learning
4. Machine Learning Process
5. Types of Machine Learning
6. Supervised Vs Unsupervised
7. The right Machine Learning solutions
8. Machine Learning Algorithms
9. Use case - Predicting the price of a house using Linear Regression
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
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About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
- - - - - - -
Who should take this Machine Learning Training Course?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
What is Machine Learning | Introduction to Machine Learning | Machine Learnin...
This presentation on Introduction to Machine Learning will explain what is Machine Learning and how does Machine Learning works. By the end of this presentation, you will be able to understand what are the types of Machine Learning, Machine Learning algorithms and some of the breakthroughs in Machine Learning industry. You will also learn what Machine Learning has to offer to us in terms of career opportunities.
This Machine Learning presentation will cover the following topics:
1. Real life applications of Machine Learning
2. Machine Learning Challenges
3. How did Machine Learning evolve?
4. Why Machine Learning / Machine Learning benefits
5. What is Machine Learning?
6. Types of Machine Learning ( Supervised, Unsupervised & Reinforcement Learning )
7. Machine Learning algorithms
8. Breakthroughs in Machine Learning
9. Machine Learning Future
10. Machine Learning Career
11. Machine Learning job trends
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
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Introduction to machine learning
Introduction to machine learning. Basics of machine learning. Overview of machine learning. Linear regression. logistic regression. cost function. Gradient descent. sensitivity, specificity. model selection.
Supervised Unsupervised and Reinforcement Learning
This presentation describes various categories of machine learning techniques.It starts with importance of Machine learning and difference between ML and traditional AI. Examples and in-depth explanation of different learning techniques in ML.
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Supervised Unsupervised and Reinforcement Learning
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Onboarding AI & Machine Learning
What do you need to think about before bringing advanced technology into your community, library or organization? How do you introduce it to staff? Will they worry about being replaced or losing their jobs? And how do you get machines to operate at optimal efficiency? Machines need to learn to be effective, whether it’s Siri, Alexa, or Watson. And people have to adapt to the machines. Join us and learn more!
Indroduction to machine learning
Machine learning is the important to each world .machine learning decide our future these slides contain introduction of machine learning and application advantage and disadvantages,how machine as computer
Indroduction to machine learning
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.[1][2]:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.
Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning.[3][4] In its application across business problems, machine learning is also referred to as predictive analytics.
Artificial Intelligence with Python | Edureka
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
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AI - Artificial Intelligence - Implications for Libraries
What does the world of AI (artificial intelligence) mean for libraries? Can AI replace library services or how can libraries leverage the technology for more streamlined services. From Smart Houses, to Robots, to technology yet to be mainstreamed, this session will cover it all to help you better prepare and plan for the future.
Machine Learning Research Paper Topics - PPT.pptx
Choosing a machine learning research paper topic is the first decision a student has to choose in their masters or doctorate degree. But getting there, choosing and working on a thesis topic is not that simple but need a statistical algorithm to make computers work without being explicitly programmed.
Lets Chat AI - and Not Just ChatGPT
AI can help digest information efficiently, develop creative solutions to complex problems, & more. We will explore using hands-on tools that can be used by marketing teams, tech teams, & more. We will break down what AI is, how it works, & some limitations or challenges.
Lets Chat AI – And Not Just ChatGPT
By now, most people have heard of ChatGPT as a conversational AI that can create conversations and answer questions. This flashy technology has helped introduce AI to the masses, yet this type of conversational AI has been around for almost a while in various formats. This session shows some of the less-known things you can do with AI, such as creating content for your blog/website, creating videos, generating marketing material, tweets, and more. Brian Pichman of the Evolve Project will share some access to technology to let participants play and create AI content to bring back to their library.
Data Science and Machine Learning for Non Programmers | Edureka
YouTube Link: https://youtu.be/jgPChUZP57I
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on "Data Science and Machine Learning for Non-programmers" is specifically dedicated to non-IT professionals who are trying to make a career in Data Science and Machine Learning without the experience of working on programming languages. Here’s a list of topics that are covered in this Data Science for Beginners session:
Introduction to Data Science and Machine Learning
Data Science and Machine Learning Domains
Questions Every Non-Programmer Has
Data Science and Machine Learning Tools For Non-Programmers
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Content Creation and Social Media Tools for Libraries
Discover the transformative role of Artificial Intelligence in shaping content creation and social media engagement within library environments. This presentation explores how AI-driven tools are revolutionizing the way libraries share information, curate content, and connect with their communities. Explore practical applications of AI in generating personalized content, automating social media interactions, and enhancing user engagement, all while maintaining the unique character of library services.
Key Points:
Tailoring library content through AI: Customized reading recommendations, curated lists, and more.
Amplifying outreach with AI-powered social media strategies, boosting community interaction.
Ethical considerations in AI-generated content for libraries: Striking the right balance.
Real-world examples of successful AI-driven library campaigns that foster engagement.
Collaborative possibilities: How libraries can work with AI to enhance user experiences.
Future prospects: Navigating the evolving landscape of AI and its integration in library services.
How to use Artificial Intelligence with Python? Edureka
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
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500’s Demo Day Batch 14 >> MonkeyLearn
Contact MonkeyLearn : http://500demoday.co
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Unit 1 part 1
This lecture slide gives a brief introduction to AI , its evolution, components and architecture.
Overview of Machine Learning and its Applications
Brief Introduction on Machine Learning and Deep Learning and it's some algorithms and also How to start career Machine Learning and Deep Learning.
Introduction to Machine Learning.pptx
History of machine learning and basic and types of machine learning are covered in this presentation it is simple to understand and very much easy most of the content is taken from javatpoint you can learn from that site it is simple for school, college university and other student in fututre it will be updated soon for now it is the beggining.
Introduction to Artificial Intelligence
This lecture slide introduces the basic concepts of artificial intelligence and it applications
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Big Data on AWS Tutorial | Edureka
YouTube Link: https://youtu.be/ge4qhkl9uKg
AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
This PPT will help you in understanding how AWS deals smartly with Big Data. It also shows how AWS can solve Big Data challenges with ease.
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A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
YouTube Link: https://youtu.be/amlkE0g-YFU
** Artificial Intelligence and Deep Learning: https://www.edureka.co/ai-deep-learni... **
This Edureka PPT on 'A Star Algorithm' teaches you all about the A star Algorithm, the uses, advantages and disadvantages and much more. It also shows you how the algorithm can be implemented practically and has a comparison between the Dijkstra and itself.
Check out our playlist for more videos: http://bit.ly/2taym8X
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Kubernetes Installation on Ubuntu | Edureka
YouTube Link: https://youtu.be/UWg3ORRRF60
Kubernetes Certification: https://www.edureka.co/kubernetes-certification
This Edureka PPT will help you set up a Kubernetes cluster having 1 master and 1 node. The detailed step by step instructions is demonstrated in this PPT.
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Introduction to DevOps | Edureka
YouTube Link: https://youtu.be/GJQ36pIYbic
DevOps Training: https://www.edureka.co/devops-certification-training
This Edureka DevOps Tutorial for Beginners talks about What is DevOps and how it works. You will learn about several DevOps tools (Git, Jenkins, Docker, Puppet, Ansible, Nagios) involved at different DevOps stages such as version control, continuous integration, continuous delivery, continuous deployment, continuous monitoring.
Follow us to never miss an update in the future.
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Machine Learning in 10 Minutes | What is Machine Learning? | Edureka
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- 10. www.edureka.co
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- 26. Make the Model! Supervised Learning www.edureka.co
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