Difference between revisions of "Courses & Certifications"
(→Other Courses) |
(→Other Courses) |
||
| Line 14: | Line 14: | ||
* [https://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford] | * [https://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford] | ||
* [https://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford] | * [https://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford] | ||
| + | * [hhttp://web.stanford.edu/class/cs224n/ Natural Language Processing with Deep Learning | Stanford] | ||
* [https://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford] | * [https://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford] | ||
| + | * [http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition | Stanford] | ||
* [https://www.edx.org/course/introduction-to-artificial-intelligence-ai Play Video: Introduction to Artificial Intelligence (AI) | Microsoft] | * [https://www.edx.org/course/introduction-to-artificial-intelligence-ai Play Video: Introduction to Artificial Intelligence (AI) | Microsoft] | ||
* [https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-2 Artificial Intelligence (AI) | Columbia University] | * [https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-2 Artificial Intelligence (AI) | Columbia University] | ||
* [https://www.class-central.com/course/6-s191-introduction-to-deep-learning-8083 Introduction to Deep Learning | MIT] | * [https://www.class-central.com/course/6-s191-introduction-to-deep-learning-8083 Introduction to Deep Learning | MIT] | ||
* [https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm Artificial Intelligence | MIT] | * [https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm Artificial Intelligence | MIT] | ||
| + | * [https://www.class-central.com/course/6-s094-deep-learning-for-self-driving-cars-8132 Deep Learning for Self-Driving Cars | MIT] | ||
* [http://ai.berkeley.edu/lecture_videos.html CS188 Intro to AI | UC Berkeley] | * [http://ai.berkeley.edu/lecture_videos.html CS188 Intro to AI | UC Berkeley] | ||
| + | * [https://www.class-central.com/course/deep-learning-for-natural-language-processing-8097 Deep Learning for Natural Language Processing | Oxford - Phil Blunsom] | ||
* [https://in.udacity.com/course/intro-to-artificial-intelligence--cs271 Intro to Artificial Intelligence | Udacity] | * [https://in.udacity.com/course/intro-to-artificial-intelligence--cs271 Intro to Artificial Intelligence | Udacity] | ||
* [https://projectmanagers.org/artificial-intelligence-certification-training-courses/ MOOC Training Course | PM.org] | * [https://projectmanagers.org/artificial-intelligence-certification-training-courses/ MOOC Training Course | PM.org] | ||
| Line 29: | Line 33: | ||
* [https://www.class-central.com/course/coursera-deep-learning-for-business-9431 Deep Learning for Business | Yonsei University] | * [https://www.class-central.com/course/coursera-deep-learning-for-business-9431 Deep Learning for Business | Yonsei University] | ||
* [https://www.class-central.com/course/cutting-edge-deep-learning-for-coders-part-2-8965 Cutting Edge Deep Learning For Coders | fast.ai and University of San Francisco] | * [https://www.class-central.com/course/cutting-edge-deep-learning-for-coders-part-2-8965 Cutting Edge Deep Learning For Coders | fast.ai and University of San Francisco] | ||
| − | * [https://www.class-central.com/course/coursera-neural-networks-for-machine-learning-398 Neural Networks for Machine Learning | University of Toronto Geoffrey Hinton the godfather of deep learning] | + | * [https://www.class-central.com/course/learn-tensorflow-and-deep-learning-without-a-ph-d-8480 Learn TensorFlow and deep learning, without a Ph.D. | Google] |
| + | * [https://www.class-central.com/course/udacity-deep-learning-5681 Deep Learning | Google] | ||
| + | * [http://info.usherbrooke.ca/hlarochelle/neural_networks/description.html Online Course on Neural Networks | Université de Sherbrooke - Hugo Larochelle] | ||
| + | * [https://www.cs.ox.ac.uk/teaching/courses/2014-2015/ml/index.html Machine Learning: 2014-2015 | Oxford - Nando de Freitas] | ||
| + | * [https://sites.google.com/site/deeplearningsummerschool/home Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun] | ||
| + | * [https://www.class-central.com/course/coursera-neural-networks-for-machine-learning-398 Neural Networks for Machine Learning 2013 | University of Toronto - Geoffrey Hinton the godfather of deep learning] | ||
Revision as of 21:47, 3 May 2018
YouTube Courses
- Application of Deep Neural Networks | Washington University in St. Louis
- Introduction to AI | Well Academy
- Introduction to Artificial Intelligence | Edureka
Other Courses
- NVIDIA
- Deep Learning Specialization | Andrew Ng
- Deep Learning: The Big Picture | Matthew Renze
- Creative Applications of Deep Learning with TensorFlow | Kadenze
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford
- Structuring Machine Learning Projects | Stanford
- Sequence Models | Stanford
- [hhttp://web.stanford.edu/class/cs224n/ Natural Language Processing with Deep Learning | Stanford]
- Convolutional Neural Networks | Stanford
- Convolutional Neural Networks for Visual Recognition | Stanford
- Play Video: Introduction to Artificial Intelligence (AI) | Microsoft
- Artificial Intelligence (AI) | Columbia University
- Introduction to Deep Learning | MIT
- Artificial Intelligence | MIT
- Deep Learning for Self-Driving Cars | MIT
- CS188 Intro to AI | UC Berkeley
- Deep Learning for Natural Language Processing | Oxford - Phil Blunsom
- Intro to Artificial Intelligence | Udacity
- MOOC Training Course | PM.org
- Machine Learning | Georgia Institute of Technology
- Introduction to Deep Learning | Higher School of Economics
- Introduction to Reinforcement Learning | Higher School of Economics
- Natural Language Processing | Higher School of Economics
- Deep Learning in Computer Vision | Higher School of Economics
- Deep Learning for Business | Yonsei University
- Cutting Edge Deep Learning For Coders | fast.ai and University of San Francisco
- Learn TensorFlow and deep learning, without a Ph.D. | Google
- Deep Learning | Google
- Online Course on Neural Networks | Université de Sherbrooke - Hugo Larochelle
- Machine Learning: 2014-2015 | Oxford - Nando de Freitas
- Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun
- Neural Networks for Machine Learning 2013 | University of Toronto - Geoffrey Hinton the godfather of deep learning
