Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
New year’s resolution: dive into deep learning!
Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.
If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up.
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Featuring
Notes and Links
Courses
- Amazon Machine Learning with AWS
- Google Machine Learning Crash Course with TensorFlow APIs
- Microsoft Professional Program for Artificial Intelligence
- Coursera / deeplearning.ai
- NVIDIA Deep Learning Institute
- Google, Amazon, Microsoft: How do their free machine-learning courses compare?
- Stanford Machine Learning Videos on YouTube
Books
- Deep Learning textbook by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- Machine Learning With Go by Daniel Whitenack
(Daniel is too humble to put his own book in this list, so Chris inserted it above without Daniel’s knowledge - because it’s a damn fine book!)
Hybrid resources
Machine learning with TensorFlow crash course
Intro to deep learning with PyTorch
Spinning Up in Deep RL