Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
https://ocdevel.com/mlg
11. Checkpoint
Checkpoint - start learning the material offline!
45m/d ML
- Coursera (https://www.coursera.org/learn/machine-learning) `course:hard`
- Python (http://amzn.to/2mVgtJW) `book:medium`
- Deep Learning Resources (http://ocdevel.com/podcasts/machine-learning/9)
15m/d Math (KhanAcademy)
- Either LinAlg (https://www.khanacademy.org/math/linear-algebra) `course:medium` OR Fast.ai (http://www.fast.ai/2017/07/17/num-lin-alg/) `course:medium`
- Stats (https://www.khanacademy.org/math/statistics-probability) `course:medium`
- Calc (https://www.khanacademy.org/math/calculus-home) `course:medium`
Audio
- The Master Algorithm (http://amzn.to/2kLOQjW) `audio:medium` Semi-technical overview of ML basics & main algorithms
- Mathematical Decision Making (https://goo.gl/V75I49) `audio|course:hard` course on "Operations Research", similar to ML
- Statistics (https://projects.iq.harvard.edu/stat110/youtube) `audio|course:hard`
- Calculus 1 (https://goo.gl/fcLP3l) 2 (https://goo.gl/sBpljN) 3 (https://goo.gl/8Hdwuh) `course|audio:hard`
- Convert video to audio:
** mp4 => mp3: `for f in *.mp4; do ffmpeg -i "$f" "${f%.mp4}.mp3" && rm "$f"; done`
** youtube => mp3: setup youtube-dl (https://github.com/rg3/youtube-dl) and run `youtube-dl -x youtube.com/playlist?list=`