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
episode 1: MLG 001 Introduction
Show notes: . MLG teaches the fundamentals of machine learning and artificial intelligence. It covers intuition, models, math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your...
episode 2: MLG 002 What is AI, ML, DS
Show notes at Updated! Skip to [00:29:36] for Data Science (new content) if you've already heard this episode. What is artificial intelligence, machine learning, and data science? What are their differences? AI history. Hierarchical...
episode 2: MLG 002 What is AI / ML
Show notes at . What is artificial intelligence and machine learning? What's the difference? How about compared to statistics and data science? AI history.
episode 3: MLG 003 Inspiration
Show notes at . Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear.
episode 4: MLG 004 Algorithms - Intuition
Overview of machine learning algorithms. Infer/predict, error/loss, train/learn. Supervised, unsupervised, reinforcement learning. ocdevel.com/mlg/4 for notes and resources
episode 5: MLG 005 Linear Regression
Introduction to the first machine-learning algorithm, the 'hello world' of supervised learning - Linear Regression ocdevel.com/mlg/5 for notes and resources
episode 6: MLG 006 Certificates & Degrees
Discussion on certificates and degrees from Udacity to a Masters degree. ocdevel.com/mlg/6 for notes and resources
episode 7: MLG 007 Logistic Regression
Your first classifier: Logistic Regression. That plus Linear Regression, and you're a 101 supervised learner! ocdevel.com/mlg/7 for notes and resources
episode 8: MLG 008 Math
Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus. ocdevel.com/mlg/8 for notes and resources
episode 9: MLG 009 Deep Learning
Deep learning and neural networks. How to stack our logisitic regression units into a multi-layer perceptron. ocdevel.com/mlg/9 for notes and resources