New year’s resolution: dive into deep learning!
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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:

• Chris Benson – Twitter), GitHub), LinkedIn), Website)

• Daniel Whitenack – Twitter), GitHub), Website)

Show Notes:

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” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville)

• “Natural Language Processing with PyTorch” by Delip Rao and Brian McMahan)

• “Machine Learning With Go” by Daniel Whitenack and Janani Selvaraj)

(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)

Meetups

PyData) Atlanta Deep Learning Meetup)

Something missing or broken? PRs welcome!)