Difference between revisions of "Courses & Certifications"
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* [http://www.udemy.com/data-science-and-machine-learning-with-python-hands-on Data Science, Deep Learning, & Machine Learning with Python | Frank Kane - Udemy] | * [http://www.udemy.com/data-science-and-machine-learning-with-python-hands-on Data Science, Deep Learning, & Machine Learning with Python | Frank Kane - Udemy] | ||
| − | ==== Coursera | + | ==== Coursera ==== |
* [http://www.coursera.org/specializations/deep-learning Deep Learning Specialization | Andrew Ng - Coursera] | * [http://www.coursera.org/specializations/deep-learning Deep Learning Specialization | Andrew Ng - Coursera] | ||
* [http://www.coursera.org/learn/machine-learning Machine Learning | Stanford- Coursera] | * [http://www.coursera.org/learn/machine-learning Machine Learning | Stanford- Coursera] | ||
* [http://www.coursera.org/specializations/machine-learning Machine Learning Specialization | University of Washington - Coursera] | * [http://www.coursera.org/specializations/machine-learning Machine Learning Specialization | University of Washington - Coursera] | ||
| − | * [http://www.class-central.com/course/coursera-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization-9054 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford - | + | |
| − | * [http://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford - | + | ==== Class-Central ==== |
| − | * [http://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford - | + | * [http://www.class-central.com/course/edx-machine-learning-8995 Machine Learning | Georgia Institute of Technology - Class-Central] |
| − | * [http://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford - | + | * [http://www.class-central.com/course/coursera-introduction-to-deep-learning-9606 Introduction to Deep Learning | Higher School of Economics - Class-Central] |
| + | * [http://www.class-central.com/course/coursera-introduction-to-reinforcement-learning-9607 Introduction to Reinforcement Learning | Higher School of Economics - Class-Central] | ||
| + | * [http://www.class-central.com/course/coursera-natural-language-processing-9603 Natural Language Processing | Higher School of Economics - Class-Central] | ||
| + | * [http://www.class-central.com/course/coursera-deep-learning-in-computer-vision-9608 Deep Learning in Computer Vision | Higher School of Economics - Class-Central] | ||
| + | * [http://www.class-central.com/course/coursera-deep-learning-for-business-9431 Deep Learning for Business | Yonsei University - Class-Central] | ||
| + | * [http://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 - Class-Central] | ||
| + | * [http://www.class-central.com/course/coursera-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization-9054 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford - Class-Central] | ||
| + | * [http://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford - Class-Central] | ||
| + | * [http://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford - Class-Central] | ||
| + | * [http://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford - Class-Central] | ||
| + | |||
==== Stanford ==== | ==== Stanford ==== | ||
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* [http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition | Stanford] | * [http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition | Stanford] | ||
| − | ==== MIT | + | ==== MIT ==== |
* [http://www.class-central.com/course/6-s191-introduction-to-deep-learning-8083 Introduction to Deep Learning | MIT] | * [http://www.class-central.com/course/6-s191-introduction-to-deep-learning-8083 Introduction to Deep Learning | MIT] | ||
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm Artificial Intelligence | MIT] | * [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm Artificial Intelligence | MIT] | ||
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* [http://in.udacity.com/course/intro-to-artificial-intelligence--cs271 Intro to Artificial Intelligence | Udacity] | * [http://in.udacity.com/course/intro-to-artificial-intelligence--cs271 Intro to Artificial Intelligence | Udacity] | ||
* [http://projectmanagers.org/artificial-intelligence-certification-training-courses/ MOOC Training Course | PM.org] | * [http://projectmanagers.org/artificial-intelligence-certification-training-courses/ MOOC Training Course | PM.org] | ||
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* [http://cognitiveclass.ai/courses/introduction-deep-learning/ Deep Learning Fundamentals | Cognitive Class] | * [http://cognitiveclass.ai/courses/introduction-deep-learning/ Deep Learning Fundamentals | Cognitive Class] | ||
* [http://cognitiveclass.ai/courses/deep-learning-tensorflow/ Deep Learning with TensorFlow | Cognitive Class] | * [http://cognitiveclass.ai/courses/deep-learning-tensorflow/ Deep Learning with TensorFlow | Cognitive Class] | ||
Revision as of 05:05, 26 August 2018
Contents
YouTube Courses
- Application of Deep Neural Networks | Washington University in St. Louis
- Introduction to AI | Well Academy
- Introduction to Artificial Intelligence | Edureka
Pluralsight
Udemy
- Complete Guide to TensorFlow for Deep Learning with Python | Jose Portilla - Udemy
- Data Science and Machine Learning Bootcamp with R | Jose Portilla - Udemy
- Scala and Spark for Big Data and Machine Learning | Jose Portilla - Udemy
- Python for Data Science and Machine Learning Bootcamp | Jose Portilla - Udemy
- Deep Learning A-Z™: Hands-On Artificial Neural Networks | Kirill Eremenko, Hadelin de Ponteves - Udemy
- Machine Learning A-Z™: Hands-On Python & R In Data Science | Kirill Eremenko, Hadelin de Ponteves - Udemy
- Data Science, Deep Learning, & Machine Learning with Python | Frank Kane - Udemy
Coursera
- Deep Learning Specialization | Andrew Ng - Coursera
- Machine Learning | Stanford- Coursera
- Machine Learning Specialization | University of Washington - Coursera
Class-Central
- Machine Learning | Georgia Institute of Technology - Class-Central
- Introduction to Deep Learning | Higher School of Economics - Class-Central
- Introduction to Reinforcement Learning | Higher School of Economics - Class-Central
- Natural Language Processing | Higher School of Economics - Class-Central
- Deep Learning in Computer Vision | Higher School of Economics - Class-Central
- Deep Learning for Business | Yonsei University - Class-Central
- Cutting Edge Deep Learning For Coders | fast.ai and University of San Francisco - Class-Central
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford - Class-Central
- Structuring Machine Learning Projects | Stanford - Class-Central
- Sequence Models | Stanford - Class-Central
- Convolutional Neural Networks | Stanford - Class-Central
Stanford
- Natural Language Processing with Deep Learning | Stanford
- Convolutional Neural Networks for Visual Recognition | Stanford
MIT
- Introduction to Deep Learning | MIT
- Artificial Intelligence | MIT
- Deep Learning for Self-Driving Cars | MIT
- Learn with Google AI
- Machine Learning Crash Course with TensorFlow APIs | Google
- Learn TensorFlow and deep learning, without a Ph.D. | Google
- Deep Learning | Google
Microsoft
Amazon
NVIDIA
Intel
IBM
Other Courses
- Kaggle Hands-On Data Science Education
- Creative Applications of Deep Learning with TensorFlow | Kadenze
- Artificial Intelligence (AI) | Columbia University
- 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
- Deep Learning Fundamentals | Cognitive Class
- Deep Learning with TensorFlow | Cognitive Class
- 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
