Top leçons
Finite Element Analysis by Dr. B.N. RAO, Department of Civil Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
This is video 1 of chapter Two of the OpenClassrooms course entitled : Build your first web pages with HTML and CSS.
See all the course videos on Youtube here: https://www.youtube.com/playli....st?list=PLlup9oTyUUA
Learn to create your first web pages using HTML and CSS, the two most important languages on the web. No coding experience required.
Over on OpenClassrooms.com, this video and playlist are part of a robust class, accompanied by text, visuals, useful links, and quizzes to track your progress. What's more, it can all be accessed for free!
COME TAKE A LOOK: https://oc.cm/2AaTzU9
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Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
This is video 1, Chapter Two for the OpenClassrooms course entitled, "Map Out Your Projects With UML".
Be sure to start from the beginning. See all the course videos on Youtube here: https://oc.cm/2IJK4hh
Being able to map out data structures is an important part of development. Designed for beginners, this course will help you discover UML, a great way to think about modelling.
Over on OpenClassrooms.com, this video and playlist are part of a robust class, accompanied by text, visuals, useful links, and quizzes to track your progress. What's more, it can all be accessed for free!
COME TAKE A LOOK: https://oc.cm/2NtO1HN
Don't forget to subscribe to our channel as we will be posting more courses and other valuable content to help you reach your professional and personal goals.
CONNECT WITH US!
Facebook // https://www.facebook.com/openclassrooms
Twitter // https://twitter.com/OpenClassrooms
LinkedIn // https://www.linkedin.com/school/openclassrooms
Instagram // https://www.instagram.com/openclassrooms
Advanced Gas Dynamics by Dr.Rinku Mukherjee,Department of Applied Mechanics, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Manufacturing Systems Management by Prof. G. Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Lecture 1 introduces the concept of Natural Language Processing (NLP) and the problems NLP faces today. The concept of representing words as numeric vectors is then introduced, and popular approaches to designing word vectors are discussed.
Key phrases: Natural Language Processing. Word Vectors. Singular Value Decomposition. Skip-gram. Continuous Bag of Words (CBOW). Negative Sampling. Hierarchical Softmax. Word2Vec.
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Natural Language Processing with Deep Learning
Instructors:
- Chris Manning
- Richard Socher
Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component.
For additional learning opportunities please visit:
http://stanfordonline.stanford.edu/
Performance Evaluation of Computer Systems by Prof.Krishna Moorthy Sivalingam, Department of Computer Science and Engineering, IIT Madras. For more details
on NPTEL visit http://nptel.iitm.ac.in
Training versus Testing - The difference between training and testing in mathematical terms. What makes a learning model able to generalize? Lecture 5 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/co....urse/machine-learnin and on the course website - http://work.caltech.edu/telecourse.html
Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/
This lecture was recorded on April 17, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Coding Theory by Dr. Andrew Thangaraj, Department of Electronics & Communication Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
To register for the 2015 course, visit https://www.edx.org/course/jus....tice-harvardx-er22-1
PART ONE: PUTTING A PRICE TAG ON LIFE
Today, companies and governments often use Jeremy Benthams utilitarian logic under the name of cost-benefit analysis. Sandel presents some contemporary cases in which cost-benefit analysis was used to put a dollar value on human life. The cases give rise to several objections to the utilitarian logic of seeking the greatest good for the greatest number. Should we always give more weight to the happiness of a majority, even if the majority is cruel or ignoble? Is it possible to sum up and compare all values using a common measure like money?
PART TWO: HOW TO MEASURE PLEASURE
Sandel introduces J.S. Mill, a utilitarian philosopher who attempts to defend utilitarianism against the objections raised by critics of the doctrine. Mill argues that seeking the greatest good for the greatest number is compatible with protecting individual rights, and that utilitarianism can make room for a distinction between higher and lower pleasures. Mills idea is that the higher pleasure is always the pleasure preferred by a well-informed majority. Sandel tests this theory by playing video clips from three very different forms of entertainment: Shakespeares Hamlet, the reality show Fear Factor, and The Simpsons. Students debate which experience provides the higher pleasure, and whether Mills defense of utilitarianism is successful.
Coding Theory by Dr. Andrew Thangaraj, Department of Electronics & Communication Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Conduction and Radiation by Prof. C.Balaji, Department of Mechanical Engineering, IIT Madras For more details on NPTEL visit http://nptel.iitm.ac.in
Special Topics in Classical Mechanics by Prof.P.C.Deshmukh, Department of Physics,IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
0:00 questions
3:29 more on interrupts
9:19 STK500 leds and buttons
11:11 Lab 1 timer code -- to end
http://people.ece.cornell.edu/....land/courses/ece4760
Special Theory of Relativity by Prof. Shiva Prasad,Department of Physics,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
Numerical Methods and Programing by P.B.Sunil Kumar, Dept, of physics, IIT Madras
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on expectation-maximization in the context of the mixture of Gaussian and naive Bayes models, as well as factor analysis and digression.
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.
Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD
CS 229 Course Website:
http://www.stanford.edu/class/cs229/
Stanford University:
http://www.stanford.edu/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford
Discrete Mathematical Structures