Machine Learning Guide

By OCDevel

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Description

Teaches the high level fundamentals of machine learning and artificial intelligence. I teach basic intuition, algorithms, and math. I discuss languages and frameworks, deep learning, and more. Audio may seem inferior, but it's a great supplement during exercise/commute/chores. Where your other resources provide the machine learning trees, I provide the forest. Consider me your syllabus. At the end of every episode I provide high-quality curated resources for learning each episode’s details.

Episode Date
030 New Series: Machine Learning Applied
05:29

MLG: I'm rebooting this series to fix mistakes & add more shallows (Bayesian methods, Tree methods, etc). I'm adding Patreon rewards, including access to a new podcast series: Machine Learning Applied, discussing applied/practical 10-20m frequent episodes.

ocdevel.com/mlg/30 for notes and resources

May 24, 2018
029 Reinforcement Learning Intro
42:27

Introduction to reinforcement learning concepts.

ocdevel.com/mlg/29 for notes and resources.

Feb 05, 2018
028 Hyperparameters 2
50:10

Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling.

ocdevel.com/mlg/28 for notes and resources

Feb 04, 2018
027 Hyperparameters 1
46:09

Hyperparameters part 1: network architecture.

ocdevel.com/mlg/27 for notes and resources

Jan 28, 2018
026 Project Bitcoin Trader
38:20

Community project & intro to Bitcoin/crypto + trading.

ocdevel.com/mlg/26 for notes and resources

Jan 27, 2018
025 Convolutional Neural Networks
44:21

Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling.

ocdevel.com/mlg/25 for notes and resources

Oct 30, 2017
024 Tech Stack
01:01:17

TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce.

ocdevel.com/mlg/24 for notes and resources

Oct 07, 2017
023 Deep NLP 2
42:45

RNN review, bi-directional RNNs, LSTM & GRU cells.

ocdevel.com/mlg/23 for notes and resources

Aug 20, 2017
022 Deep NLP 1
49:21

Recurrent Neural Networks (RNNs) and Word2Vec.

ocdevel.com/mlg/22 for notes and resources

Jul 29, 2017
021 New Series: Machine Learning Applied
01:50

Introducing a new podcast series on Patreon: Machine Learning Applied.

ocdevel.com/mlg/21 for notes and resources

Jul 27, 2017
020 Natural Language Processing 3
40:26

Natural Language Processing classical/shallow algorithms.

ocdevel.com/mlg/20 for notes and resources

Jul 23, 2017
019 Natural Language Processing 2
01:05:33

Natural Language Processing classical/shallow algorithms.

ocdevel.com/mlg/19 for notes and resources

Jul 11, 2017
018 Natural Language Processing 1
57:48

Introduction to Natural Language Processing (NLP) topics.

ocdevel.com/mlg/18 for notes and resources

Jun 26, 2017
017 Checkpoint
07:00

Checkpoint - learn the material offline!

ocdevel.com/mlg/17 for notes and resources

Jun 04, 2017
016 Consciousness
01:13:45

Can AI be conscious?

ocdevel.com/mlg/16 for notes and resources

May 21, 2017
015 Performance
41:24

Performance evaluation & improvement.

ocdevel.com/mlg/15 for notes and resources

May 07, 2017
014 Shallow Algos 3
48:07

Speed run of Anomaly Detection, Recommenders(Content Filtering vs Collaborative Filtering), and Markov Chain Monte Carlo (MCMC).

ocdevel.com/mlg/14 for notes and resources

Apr 23, 2017
013 Shallow Algos 2
55:13

Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier.

ocdevel.com/mlg/13 for notes and resources

Apr 09, 2017
012 Shallow Algos 1
53:17

Speed-run of some shallow algorithms: K Nearest Neighbors (KNN); K-means; Apriori; PCA; Decision Trees

ocdevel.com/mlg/12 for notes and resources

Mar 19, 2017
011 Checkpoint
07:45

Checkpoint - start learning the material offline!

ocdevel.com/mlg/11 for notes and resources

Mar 08, 2017
010 Languages & Frameworks
44:17

Languages & frameworks comparison. Languages: Python, R, MATLAB/Octave, Julia, Java/Scala, C/C++. Frameworks: Hadoop/Spark, Deeplearning4J, Theano, Torch, TensorFlow.

ocdevel.com/mlg/10 for notes and resources

Mar 07, 2017
009 Deep Learning
51:09

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

Mar 04, 2017
008 Math
27:24

Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus.

ocdevel.com/mlg/8 for notes and resources

Feb 23, 2017
007 Logistic Regression
34:20

Your first classifier: Logistic Regression. That plus Linear Regression, and you're a 101 supervised learner!

ocdevel.com/mlg/7 for notes and resources

Feb 19, 2017
006 Certificates & Degrees
15:37

Discussion on certificates and degrees from Udacity to a Masters degree.

ocdevel.com/mlg/6 for notes and resources

Feb 17, 2017
005 Linear Regression
33:40

Introduction to the first machine-learning algorithm, the 'hello world' of supervised learning - Linear Regression

ocdevel.com/mlg/5 for notes and resources

Feb 16, 2017
004 Algorithms - Intuition
21:54

Overview of machine learning algorithms. Infer/predict, error/loss, train/learn. Supervised, unsupervised, reinforcement learning.

ocdevel.com/mlg/4 for notes and resources

Feb 12, 2017
003 Inspiration
17:41

Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear.

ocdevel.com/mlg/3 for notes and resources

Feb 10, 2017
002 What is AI / ML
32:05

What is artificial intelligence and machine learning? What's the difference? How about compared to statistics and data science? AI history.

ocdevel.com/mlg/2 for notes and resources

Feb 09, 2017
001 Introduction
12:35

Teaches the high level fundamentals of machine learning and artificial intelligence. I teach basic intuition, algorithms, and math. I discuss languages and frameworks, deep learning, and more.

ocdevel.com/mlg/1 for notes and resources

Feb 01, 2017