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
Gesamtlänge aller Episoden: 1 day 15 hours 40 minutes
New Series: Machine Learning Applied
Introducing a new podcast series on Patreon: Machine Learning Applied
episode 33: MLA 003 Storage: HDF, Pickle, Postgres
Comparison of different data storage options when working with your ML models.
episode 31: MLA 001 Certificates & Degrees
Reboot on the MLG episode, with more confident recommends.
episode 29: MLG 029 Reinforcement Learning Intro
Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.
episode 28: MLG 028 Hyperparameters 2
Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources
episode 27: MLG 027 Hyperparameters 1
Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources
episode 26: MLG 026 Project Bitcoin Trader
Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources
episode 25: MLG 025 Convolutional Neural Networks
Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources
episode 25: MLG 025 Convolutional Neural Networks
Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources