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Machine Learning Guide

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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, I’ll provide the forest. Additionally, consider me your syllabus. At the end of every episode I’ll provide the best-of-the-best resources curated from around the web for you to learn each episode’s details.

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, I’ll provide the forest. Additionally, consider me your syllabus. At the end of every episode I’ll provide the best-of-the-best resources curated from around the web for you to learn each episode’s details.
More Information

Location:

United States

Description:

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, I’ll provide the forest. Additionally, consider me your syllabus. At the end of every episode I’ll provide the best-of-the-best resources curated from around the web for you to learn each episode’s details.

Language:

English


Episodes

030 New Series: Machine Learning Applied

5/24/2018
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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

Duration:00:07:26

029 Reinforcement Learning Intro

2/5/2018
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Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.

Duration:01:08:40

028 Hyperparameters 2

2/4/2018
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Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources

Duration:00:57:56

027 Hyperparameters 1

1/27/2018
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Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources

Duration:00:53:06

026 Project Bitcoin Trader

1/26/2018
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Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources

Duration:01:02:14

025 Convolutional Neural Networks

10/30/2017
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Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources

Duration:00:49:00

024 Tech Stack

10/6/2017
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TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources

Duration:01:20:38

023 Deep NLP 2

8/20/2017
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RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources

Duration:00:55:42

022 Deep NLP 1

7/28/2017
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Recurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources

Duration:00:56:02

021 New Series: Machine Learning Applied

7/27/2017
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Introducing a new podcast series on Patreon: Machine Learning Applied. ocdevel.com/mlg/21 for notes and resources

Duration:00:02:24

020 Natural Language Processing 3

7/23/2017
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Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources

Duration:01:03:05

019 Natural Language Processing 2

7/10/2017
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Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources

Duration:01:28:12

018 Natural Language Processing 1

6/25/2017
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Introduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources

Duration:01:28:48

017 Checkpoint

6/4/2017
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Checkpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources

Duration:00:09:09

016 Consciousness

5/21/2017
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Can AI be conscious? ocdevel.com/mlg/16 for notes and resources

Duration:01:21:44

015 Performance

5/7/2017
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Performance evaluation & improvement. ocdevel.com/mlg/15 for notes and resources

Duration:00:52:44

014 Shallow Algos 3

4/23/2017
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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

Duration:00:54:24

013 Shallow Algos 2

4/9/2017
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Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier. ocdevel.com/mlg/13 for notes and resources

Duration:01:11:55

012 Shallow Algos 1

3/19/2017
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Speed-run of some shallow algorithms: K Nearest Neighbors (KNN); K-means; Apriori; PCA; Decision Trees ocdevel.com/mlg/12 for notes and resources

Duration:00:59:33

011 Checkpoint

3/8/2017
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Checkpoint - start learning the material offline! ocdevel.com/mlg/11 for notes and resources

Duration:00:09:38