New year’s resolution: dive into deep learning!
Practical AI: Machine Learning, Data Science
English - January 28, 2019 12:00 - 35 minutes - 48.9 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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.
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, WebsiteDaniel 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!