Synopsis
This series aims to teach you the high level fundamentals of machine learning from A to Z. I'll teach you the basic intuition, algorithms, and math. We'll discuss languages and frameworks, deep learning, and more. Audio may be an inferior medium to task; but with all our exercise, commute, and chores hours of the day, not having an audio supplementary education would be a missed opportunity. And where your other resources will provide you the machine learning trees, Ill provide the forest. Additionally, consider me your syllabus. At the end of every episode Ill provide the best-of-the-best resources curated from around the web for you to learn each episodes details.
Episodes
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MLG 008 Math
23/02/2017 Duration: 27minSupport my new podcast: Lefnire's Life Hacks Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus. ocdevel.com/mlg/8 for notes and resources
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MLG 007 Logistic Regression
19/02/2017 Duration: 34minSupport my new podcast: Lefnire's Life Hacks Your first classifier: Logistic Regression. That plus Linear Regression, and you're a 101 supervised learner! ocdevel.com/mlg/7 for notes and resources
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MLG 006 Certificates & Degrees
17/02/2017 Duration: 15minSupport my new podcast: Lefnire's Life Hacks Discussion on certificates and degrees from Udacity to a Masters degree. ocdevel.com/mlg/6 for notes and resources
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MLG 005 Linear Regression
16/02/2017 Duration: 33minSupport my new podcast: Lefnire's Life Hacks Introduction to the first machine-learning algorithm, the 'hello world' of supervised learning - Linear Regression ocdevel.com/mlg/5 for notes and resources
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MLG 004 Algorithms - Intuition
12/02/2017 Duration: 22minSupport my new podcast: Lefnire's Life Hacks Overview of machine learning algorithms. Infer/predict, error/loss, train/learn. Supervised, unsupervised, reinforcement learning. ocdevel.com/mlg/4 for notes and resources
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MLG 003 Inspiration
10/02/2017 Duration: 18minSupport my new podcast: Lefnire's Life Hacks Show notes at ocdevel.com/mlg/3. Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear.
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MLG 002 What is AI, ML, DS
09/02/2017 Duration: 01h04minSupport my new podcast: Lefnire's Life Hacks Show notes at ocdevel.com/mlg/2 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 breakdown: DS(AI(ML)). Data science: any profession dealing with data (including AI & ML). Artificial intelligence is simulated intellectual tasks. Machine Learning is algorithms trained on data to learn patterns to make predictions. Artificial Intelligence (AI) - Wikipedia Oxford Languages: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AlphaGo Movie, very good! Sub-disciplines Reasoning, problem solving Knowledge representation Planning Learning Natural language processing Perception Motion and manipulation Social intelligence General intelligence Ap
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MLG 001 Introduction
01/02/2017 Duration: 09minShow notes: ocdevel.com/mlg/1. 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 syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.