Difference between revisions of "Courses & Certifications"
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* [http://www.youtube.com/watch?v=4jmsHaJ7xEA&list=PL9ooVrP1hQOGHNaCT7_fwe9AabjZI1RjI Introduction to Artificial Intelligence | Edureka] | * [http://www.youtube.com/watch?v=4jmsHaJ7xEA&list=PL9ooVrP1hQOGHNaCT7_fwe9AabjZI1RjI Introduction to Artificial Intelligence | Edureka] | ||
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| − | + | ==== Google ==== | |
* [http://ai.google/education/ Learn with Google AI] | * [http://ai.google/education/ Learn with Google AI] | ||
* [http://developers.google.com/machine-learning/crash-course/ Machine Learning Crash Course with TensorFlow APIs | Google] | * [http://developers.google.com/machine-learning/crash-course/ Machine Learning Crash Course with TensorFlow APIs | Google] | ||
| − | * [http:// | + | * [http://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] |
| − | * [http:// | + | * [http://www.class-central.com/course/udacity-deep-learning-5681 Deep Learning | Google] |
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| + | ==== Coursera ===== | ||
| + | * [http://www.coursera.org/specializations/deep-learning Deep Learning Specialization | Andrew Ng - 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 - Coursera] | ||
| + | * [http://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford - Coursera] | ||
| + | * [http://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford - Coursera] | ||
| + | * [http://web.stanford.edu/class/cs224n/ Natural Language Processing with Deep Learning | Stanford - Coursera] | ||
| + | * [http://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford - Coursera] | ||
| + | * [http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition | Stanford - Coursera] | ||
| + | * [http://www.coursera.org/learn/machine-learning Machine Learning | Stanford- Coursera] | ||
| + | |||
| + | ==== Microsoft ==== | ||
* [http://aischool.microsoft.com/learning-paths Microsoft AI School] | * [http://aischool.microsoft.com/learning-paths Microsoft AI School] | ||
| − | * [http://www. | + | * [http://www.edx.org/course/introduction-to-artificial-intelligence-ai Play Video: Introduction to Artificial Intelligence (AI) | Microsoft] |
| + | |||
| + | ==== Amazon ==== | ||
* [http://aws.amazon.com/training/ Amazon Training] | * [http://aws.amazon.com/training/ Amazon Training] | ||
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| + | ==== Pluralsight ==== | ||
* [http://app.pluralsight.com/player?course=deep-learning-big-picture&author=matthew-renze&name=7a060aae-dc11-4d72-b726-8138fb222fa7&clip=3&mode=live Deep Learning: The Big Picture | Matthew Renze] | * [http://app.pluralsight.com/player?course=deep-learning-big-picture&author=matthew-renze&name=7a060aae-dc11-4d72-b726-8138fb222fa7&clip=3&mode=live Deep Learning: The Big Picture | Matthew Renze] | ||
| + | |||
| + | ==== IBM ==== | ||
| + | * [http://cognitiveclass.ai/courses/ IBM Cognitive Classes - use Watson services to make a chatbot] | ||
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| + | * [http://www.kaggle.com/learn/overview Kaggle Hands-On Data Science Education] | ||
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* [http://www.class-central.com/course/kadenze-creative-applications-of-deep-learning-with-tensorflow-6679 Creative Applications of Deep Learning with TensorFlow | Kadenze] | * [http://www.class-central.com/course/kadenze-creative-applications-of-deep-learning-with-tensorflow-6679 Creative Applications of Deep Learning with TensorFlow | Kadenze] | ||
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* [http://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-2 Artificial Intelligence (AI) | Columbia University] | * [http://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-2 Artificial Intelligence (AI) | Columbia University] | ||
* [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] | ||
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* [http://www.class-central.com/course/coursera-deep-learning-for-business-9431 Deep Learning for Business | Yonsei University] | * [http://www.class-central.com/course/coursera-deep-learning-for-business-9431 Deep Learning for Business | Yonsei University] | ||
* [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] | * [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] | ||
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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] | ||
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* [http://sites.google.com/site/deeplearningsummerschool/home Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun] | * [http://sites.google.com/site/deeplearningsummerschool/home Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun] | ||
* [http://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] | * [http://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] | ||
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| + | ==== Udemy ==== | ||
* [http://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python/ Complete Guide to TensorFlow for Deep Learning with Python | Udemy] | * [http://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python/ Complete Guide to TensorFlow for Deep Learning with Python | Udemy] | ||
* [http://www.udemy.com/deeplearning/ Deep Learning A-Z™: Hands-On Artificial Neural Networks | Udemy] | * [http://www.udemy.com/deeplearning/ Deep Learning A-Z™: Hands-On Artificial Neural Networks | Udemy] | ||
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* [http://www.coursera.org/specializations/machine-learning Machine Learning Specialization | University of Washington] | * [http://www.coursera.org/specializations/machine-learning Machine Learning Specialization | University of Washington] | ||
* [http://www.udemy.com/scala-and-spark-for-big-data-and-machine-learning Scala and Spark for Big Data and Machine Learning | Jose Portilla - Udemy] | * [http://www.udemy.com/scala-and-spark-for-big-data-and-machine-learning Scala and Spark for Big Data and Machine Learning | Jose Portilla - Udemy] | ||
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| + | === Other Courses === | ||
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| + | * [http://www.nvidia.com/en-us/deep-learning-ai/education/ NVIDIA Deep Learning Institute (DLI)] | ||
| + | * [http://software.intel.com/en-us/ai-academy Intel AI Academy] | ||
Revision as of 22:19, 25 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
- 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
Coursera =
- Deep Learning Specialization | Andrew Ng - Coursera
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford - Coursera
- Structuring Machine Learning Projects | Stanford - Coursera
- Sequence Models | Stanford - Coursera
- Natural Language Processing with Deep Learning | Stanford - Coursera
- Convolutional Neural Networks | Stanford - Coursera
- Convolutional Neural Networks for Visual Recognition | Stanford - Coursera
- Machine Learning | Stanford- Coursera
Microsoft
Amazon
Pluralsight
IBM
- 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
- 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
Udemy
- Complete Guide to TensorFlow for Deep Learning with Python | Udemy
- Deep Learning A-Z™: Hands-On Artificial Neural Networks | Udemy
- Machine Learning A-Z™: Hands-On Python & R In Data Science | Udemy
- Python for Data Science and Machine Learning Bootcamp | Udemy
- Data Science, Deep Learning, & Machine Learning with Python | Frank Kane - Udemy
- Data Science and Machine Learning Bootcamp with R | Jose Portilla - udemy
- Machine Learning Specialization | University of Washington
- Scala and Spark for Big Data and Machine Learning | Jose Portilla - Udemy
