An individual named Naiyan Noor has completed the online non-credit course "Advanced Learning Algorithms" offered through Coursera and authorized by DeepLearning.AI and Stanford University. The course was instructed by Andrew Ng and Eddy Shyu of DeepLearning.AI, with curriculum support from Aarti Bagul and Geoff Ladwig. Coursera has verified Noor's identity and participation in the course.
Naiyan Noor has successfully completed the online non-credit course "HTML and CSS in depth" authorized by Meta and offered through Coursera. Coursera has verified Naiyan Noor's identity and participation in the course, which can be confirmed by visiting the provided URL.
English for Career Development Naiyan Noor.pdfNaiyan Noor
Naiyan Noor has successfully completed an online non-credit English for Career Development course authorized by the University of Pennsylvania and offered through Coursera. The course was verified by Brian McManus, Language Specialist, and Robyn Turner, Senior Language Specialist at the University of Pennsylvania's English Language Programs. While the online course may include material from on-campus courses, it is not equivalent to an on-campus course and does not confer a grade, credit, or degree from the University.
Data Visualization with Python.....Naiyan Noor.pdfNaiyan Noor
Saishruthi Swaminathan, a Data Scientist at IBM CODAIT, has successfully completed the online non-credit course "Data Visualization with Python" authorized by IBM and offered through Coursera. Her completion can be verified at the provided URL.
Databases and SQL for Data Science with Python...Naiyan Noor.pdfNaiyan Noor
Rav Ahuja has successfully completed the online non-credit course "Databases and SQL for Data Science with Python" authorized by IBM and offered through Coursera. The completion is verified through Coursera at the provided URL, where Coursera has confirmed Rav Ahuja's identity and participation in the course.
Data Science Methodology...Naiyan Noor.pdfNaiyan Noor
Alex Aklson, Ph.D., a data scientist, has completed the online Coursera course "Data Science Methodology" authorized by IBM. The course completion is verified at the provided URL by Coursera, who confirmed Alex's identity and participation in the course.
Tools for Data Science ...Naiyan Noor.pdfNaiyan Noor
An individual named Maureen McElaney has completed the online non-credit course "Tools for Data Science" authorized by IBM and offered through Coursera. The completion is verified at the provided URL, where Coursera has confirmed the individual's identity and participation in the course.
An individual named Naiyan Noor has completed the online non-credit course "Advanced Learning Algorithms" offered through Coursera and authorized by DeepLearning.AI and Stanford University. The course was instructed by Andrew Ng and Eddy Shyu of DeepLearning.AI, with curriculum support from Aarti Bagul and Geoff Ladwig. Coursera has verified Noor's identity and participation in the course.
Naiyan Noor has successfully completed the online non-credit course "HTML and CSS in depth" authorized by Meta and offered through Coursera. Coursera has verified Naiyan Noor's identity and participation in the course, which can be confirmed by visiting the provided URL.
English for Career Development Naiyan Noor.pdfNaiyan Noor
Naiyan Noor has successfully completed an online non-credit English for Career Development course authorized by the University of Pennsylvania and offered through Coursera. The course was verified by Brian McManus, Language Specialist, and Robyn Turner, Senior Language Specialist at the University of Pennsylvania's English Language Programs. While the online course may include material from on-campus courses, it is not equivalent to an on-campus course and does not confer a grade, credit, or degree from the University.
Data Visualization with Python.....Naiyan Noor.pdfNaiyan Noor
Saishruthi Swaminathan, a Data Scientist at IBM CODAIT, has successfully completed the online non-credit course "Data Visualization with Python" authorized by IBM and offered through Coursera. Her completion can be verified at the provided URL.
Databases and SQL for Data Science with Python...Naiyan Noor.pdfNaiyan Noor
Rav Ahuja has successfully completed the online non-credit course "Databases and SQL for Data Science with Python" authorized by IBM and offered through Coursera. The completion is verified through Coursera at the provided URL, where Coursera has confirmed Rav Ahuja's identity and participation in the course.
Data Science Methodology...Naiyan Noor.pdfNaiyan Noor
Alex Aklson, Ph.D., a data scientist, has completed the online Coursera course "Data Science Methodology" authorized by IBM. The course completion is verified at the provided URL by Coursera, who confirmed Alex's identity and participation in the course.
Tools for Data Science ...Naiyan Noor.pdfNaiyan Noor
An individual named Maureen McElaney has completed the online non-credit course "Tools for Data Science" authorized by IBM and offered through Coursera. The completion is verified at the provided URL, where Coursera has confirmed the individual's identity and participation in the course.
What is Data Science? ... Naiyan Noor.pdfNaiyan Noor
Rav Ahuja has successfully completed the online Coursera course "What is Data Science?" authorized by IBM. The course was offered through Coursera's Skills Network. Coursera verified Rav Ahuja's identity and participation in the course on August 27, 2020.
Programming for Everybody (Getting Started with Python)...Naiyan Noor.pdfNaiyan Noor
Naiyan Noor completed the online Coursera course "Programming for Everybody (Getting Started with Python)" authorized by the University of Michigan. Charles Severance, a clinical professor at the University of Michigan School of Information, verified Naiyan Noor's identity and participation in the course, which can be confirmed at the provided URL.
HTML, CSS, and Javascript for Web Developers ...Naiyan Noor.pdfNaiyan Noor
Yaakov Chaikin of Johns Hopkins University has issued a certificate verifying that Naiyan Noor successfully completed the online Coursera course "HTML, CSS, and Javascript for Web Developers". The certificate confirms Naiyan Noor's identity and participation in the course but does not confer academic credit or establish a student relationship with Johns Hopkins University.
Introduction to Data Science Naiyan Noor.pdfNaiyan Noor
This document is a certificate confirming that Naiyan Noor successfully completed an online Introduction to Data Science Specialization. The specialization consisted of 4 courses that covered topics like what data science is, tools used by data scientists, data science methodology, and using SQL to query databases from Python. Through hands-on labs and projects, learners developed foundational data science skills to prepare for a career or further learning involving more advanced data science topics.
Coursera Programming Foundations with JavaScript, HTML and CSS ....Naiyan Noo...Naiyan Noor
This document is a certificate confirming that Naiyan Noor successfully completed with honors the online course "Programming Foundations with JavaScript, HTML and CSS" offered through Coursera and authorized by Duke University. It is signed by four professors from Duke University's computer science and electrical engineering departments and includes a link to verify this certificate on Coursera's website.
Social Media Marketing powered by HP....Naiyan Noor.pdfNaiyan Noor
Naiyan Noor has earned a Certificate of Completion from HP LIFE for successfully completing their online course in Social Media Marketing. Through this course, Naiyan learned how to use advertising across social platforms, create effective social media marketing campaigns, and design targeted social media ads. The certificate was presented on 4/11/2023 and signed by the Deputy Director of the HP Foundation.
Web Application Development using PHP and Laravel -Naiyan Noor .pdfNaiyan Noor
This document provides details about a web application development course using PHP and Laravel. The student, Naiyan Noor, received a grade of 96% for completing the course on April 24, 2023. The course covered building web applications using the PHP programming language and the Laravel framework.
Python is an object-oriented programming language created by Guido Rossum in 1989. It is ideally designed for rapid prototyping of complex applications. It has interfaces to many OS system calls and libraries and is extensible to C or C++. Many large companies use the Python programming language, including NASA, Google, YouTube, BitTorrent, etc.
Linux is the best-known and most-used open source operating system. As an operating system, Linux is software that sits underneath all of the other software on a computer, receiving requests from those programs and relaying these requests to the computer's hardware.
Prepare for IELTS with the best for free
Learn from the world’s best teachers on the world’s best learning platform, edX. This course has attracted 900,000+ enrolments since it launched in 2015. IELTSx provides clear video tips, sample questions and answers and authentic practice exercises covering each of the four skills: listening, speaking, reading and writing.
Take your IELTS test with confidence - prepare for each part of the test as thoroughly as you need to, in your own time. Find other students enrolled in the course to practice speaking English with. You can have conversations using apps such as Whatsapp, Google Hangouts and Skype.
Artificial Intelligence Short Question and AnswerNaiyan Noor
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings.
Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.
Certificate of-completion naiyan noor-for-deep-learning-with-tensorflow-2-0Naiyan Noor
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
The document contains a single name - Naiyan Noor. It does not provide any other details about this person such as their background, occupation, or achievements. In just one name, this extremely brief document does not convey much meaningful information.
Pre-Defense CSE Thesis Presentation in BAUSTNaiyan Noor
he Pre-Defense meeting serves as a “dress rehearsal” for the Final Defense presentation and is the opportune time to address any final edits, questions, or concerns leading up to the Final Defense.
Know the format of your thesis defence. ...
Prepare and practice your presentation. ...
The dreaded “awkward question” ...
When you don't know the answer… ...
Core content. ...
Dealing with nerves.
Handwriting Recognition Using Deep Learning and Computer VersionNaiyan Noor
This document presents a method for handwriting recognition using deep learning and computer vision. It discusses preprocessing images by removing noise and converting to grayscale. Thresholding is used to separate darker text pixels from lighter background pixels. The image is then segmented into individual lines and words. Python libraries like TensorFlow, Spyder and Jupyter Notebook are used. The goal is to build a system that can recognize text in images and display the text to users. Future work may include recognizing cursive text and additional languages.
Bangladesh Army University of Science and Technology (BAUST), Saidpur // ...Naiyan Noor
thesis or dissertation[note 1] is a document submitted in support of candidature for an academic degree or professional qualification presenting the author's research and findings.[2] In some contexts, the word "thesis" or a cognate is used for part of a bachelor's or master's course, while "dissertation" is normally applied to a doctorate, while in other contexts, the reverse is true.[3] The term graduate thesis is sometimes used to refer to both master's theses and doctoral dissertations.[4]
The required complexity or quality of research of a thesis or dissertation can vary by country, university, or program, and the required minimum study period may thus vary significantly in duration.
The word "dissertation" can at times be used to describe a treatise without relation to obtaining an academic degree. The term "thesis" is also used to refer to the general claim of an essay or similar work.
This lab report was submitted by Naiyannoor, student ID 150201018 in the Computer Science and Engineering department at Bangladesh Army University of Science & Technology, for the course CSE-4103 titled "Software Engineering and Information Systems". The report was submitted to lecturer Md. Al-hasan.
Bangladesh Army University of Science and Technology (BAUST), Saidpur Naiyan Noor
This 3 sentence lab report from the Bangladesh Army University of Science and Technology provides the student's name, roll number, section, date submitted, name of the teacher, and the teacher's designation and signature. The student, Naiyan Noor from section A and roll number 150201018, submitted the lab report to lecturer Md. Al-Hasan on June 18, 2018 for an unspecified computer science and engineering course.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
What is Data Science? ... Naiyan Noor.pdfNaiyan Noor
Rav Ahuja has successfully completed the online Coursera course "What is Data Science?" authorized by IBM. The course was offered through Coursera's Skills Network. Coursera verified Rav Ahuja's identity and participation in the course on August 27, 2020.
Programming for Everybody (Getting Started with Python)...Naiyan Noor.pdfNaiyan Noor
Naiyan Noor completed the online Coursera course "Programming for Everybody (Getting Started with Python)" authorized by the University of Michigan. Charles Severance, a clinical professor at the University of Michigan School of Information, verified Naiyan Noor's identity and participation in the course, which can be confirmed at the provided URL.
HTML, CSS, and Javascript for Web Developers ...Naiyan Noor.pdfNaiyan Noor
Yaakov Chaikin of Johns Hopkins University has issued a certificate verifying that Naiyan Noor successfully completed the online Coursera course "HTML, CSS, and Javascript for Web Developers". The certificate confirms Naiyan Noor's identity and participation in the course but does not confer academic credit or establish a student relationship with Johns Hopkins University.
Introduction to Data Science Naiyan Noor.pdfNaiyan Noor
This document is a certificate confirming that Naiyan Noor successfully completed an online Introduction to Data Science Specialization. The specialization consisted of 4 courses that covered topics like what data science is, tools used by data scientists, data science methodology, and using SQL to query databases from Python. Through hands-on labs and projects, learners developed foundational data science skills to prepare for a career or further learning involving more advanced data science topics.
Coursera Programming Foundations with JavaScript, HTML and CSS ....Naiyan Noo...Naiyan Noor
This document is a certificate confirming that Naiyan Noor successfully completed with honors the online course "Programming Foundations with JavaScript, HTML and CSS" offered through Coursera and authorized by Duke University. It is signed by four professors from Duke University's computer science and electrical engineering departments and includes a link to verify this certificate on Coursera's website.
Social Media Marketing powered by HP....Naiyan Noor.pdfNaiyan Noor
Naiyan Noor has earned a Certificate of Completion from HP LIFE for successfully completing their online course in Social Media Marketing. Through this course, Naiyan learned how to use advertising across social platforms, create effective social media marketing campaigns, and design targeted social media ads. The certificate was presented on 4/11/2023 and signed by the Deputy Director of the HP Foundation.
Web Application Development using PHP and Laravel -Naiyan Noor .pdfNaiyan Noor
This document provides details about a web application development course using PHP and Laravel. The student, Naiyan Noor, received a grade of 96% for completing the course on April 24, 2023. The course covered building web applications using the PHP programming language and the Laravel framework.
Python is an object-oriented programming language created by Guido Rossum in 1989. It is ideally designed for rapid prototyping of complex applications. It has interfaces to many OS system calls and libraries and is extensible to C or C++. Many large companies use the Python programming language, including NASA, Google, YouTube, BitTorrent, etc.
Linux is the best-known and most-used open source operating system. As an operating system, Linux is software that sits underneath all of the other software on a computer, receiving requests from those programs and relaying these requests to the computer's hardware.
Prepare for IELTS with the best for free
Learn from the world’s best teachers on the world’s best learning platform, edX. This course has attracted 900,000+ enrolments since it launched in 2015. IELTSx provides clear video tips, sample questions and answers and authentic practice exercises covering each of the four skills: listening, speaking, reading and writing.
Take your IELTS test with confidence - prepare for each part of the test as thoroughly as you need to, in your own time. Find other students enrolled in the course to practice speaking English with. You can have conversations using apps such as Whatsapp, Google Hangouts and Skype.
Artificial Intelligence Short Question and AnswerNaiyan Noor
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings.
Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.
Certificate of-completion naiyan noor-for-deep-learning-with-tensorflow-2-0Naiyan Noor
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
The document contains a single name - Naiyan Noor. It does not provide any other details about this person such as their background, occupation, or achievements. In just one name, this extremely brief document does not convey much meaningful information.
Pre-Defense CSE Thesis Presentation in BAUSTNaiyan Noor
he Pre-Defense meeting serves as a “dress rehearsal” for the Final Defense presentation and is the opportune time to address any final edits, questions, or concerns leading up to the Final Defense.
Know the format of your thesis defence. ...
Prepare and practice your presentation. ...
The dreaded “awkward question” ...
When you don't know the answer… ...
Core content. ...
Dealing with nerves.
Handwriting Recognition Using Deep Learning and Computer VersionNaiyan Noor
This document presents a method for handwriting recognition using deep learning and computer vision. It discusses preprocessing images by removing noise and converting to grayscale. Thresholding is used to separate darker text pixels from lighter background pixels. The image is then segmented into individual lines and words. Python libraries like TensorFlow, Spyder and Jupyter Notebook are used. The goal is to build a system that can recognize text in images and display the text to users. Future work may include recognizing cursive text and additional languages.
Bangladesh Army University of Science and Technology (BAUST), Saidpur // ...Naiyan Noor
thesis or dissertation[note 1] is a document submitted in support of candidature for an academic degree or professional qualification presenting the author's research and findings.[2] In some contexts, the word "thesis" or a cognate is used for part of a bachelor's or master's course, while "dissertation" is normally applied to a doctorate, while in other contexts, the reverse is true.[3] The term graduate thesis is sometimes used to refer to both master's theses and doctoral dissertations.[4]
The required complexity or quality of research of a thesis or dissertation can vary by country, university, or program, and the required minimum study period may thus vary significantly in duration.
The word "dissertation" can at times be used to describe a treatise without relation to obtaining an academic degree. The term "thesis" is also used to refer to the general claim of an essay or similar work.
This lab report was submitted by Naiyannoor, student ID 150201018 in the Computer Science and Engineering department at Bangladesh Army University of Science & Technology, for the course CSE-4103 titled "Software Engineering and Information Systems". The report was submitted to lecturer Md. Al-hasan.
Bangladesh Army University of Science and Technology (BAUST), Saidpur Naiyan Noor
This 3 sentence lab report from the Bangladesh Army University of Science and Technology provides the student's name, roll number, section, date submitted, name of the teacher, and the teacher's designation and signature. The student, Naiyan Noor from section A and roll number 150201018, submitted the lab report to lecturer Md. Al-Hasan on June 18, 2018 for an unspecified computer science and engineering course.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.