Machine Learning Guide
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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.
||Clean030 New Series: Machine Learning Applied||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...||5/24/2018||Free||View in iTunes|
||Clean029 Reinforcement Learning Intro||Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.||2/5/2018||Free||View in iTunes|
||Clean028 Hyperparameters 2||Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources||2/4/2018||Free||View in iTunes|
||Clean027 Hyperparameters 1||Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources||1/27/2018||Free||View in iTunes|
||Clean026 Project Bitcoin Trader||Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources||1/26/2018||Free||View in iTunes|
||Clean025 Convolutional Neural Networks||Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources||10/30/2017||Free||View in iTunes|
||Clean024 Tech Stack||TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources||10/6/2017||Free||View in iTunes|
||Clean023 Deep NLP 2||RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources||8/20/2017||Free||View in iTunes|
||Clean022 Deep NLP 1||Recurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources||7/28/2017||Free||View in iTunes|
||Clean021 New Series: Machine Learning Applied||Introducing a new podcast series on Patreon: Machine Learning Applied. ocdevel.com/mlg/21 for notes and resources||7/27/2017||Free||View in iTunes|
||Clean020 Natural Language Processing 3||Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources||7/23/2017||Free||View in iTunes|
||Clean019 Natural Language Processing 2||Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources||7/10/2017||Free||View in iTunes|
||Clean018 Natural Language Processing 1||Introduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources||6/25/2017||Free||View in iTunes|
||Clean017 Checkpoint||Checkpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources||6/3/2017||Free||View in iTunes|
||Clean016 Consciousness||Can AI be conscious? ocdevel.com/mlg/16 for notes and resources||5/20/2017||Free||View in iTunes|
||Clean015 Performance||Performance evaluation & improvement. ocdevel.com/mlg/15 for notes and resources||5/6/2017||Free||View in iTunes|
||Clean014 Shallow Algos 3||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||4/22/2017||Free||View in iTunes|
||Clean013 Shallow Algos 2||Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier. ocdevel.com/mlg/13 for notes and resources||4/8/2017||Free||View in iTunes|
||Clean012 Shallow Algos 1||Speed-run of some shallow algorithms: K Nearest Neighbors (KNN); K-means; Apriori; PCA; Decision Trees ocdevel.com/mlg/12 for notes and resources||3/18/2017||Free||View in iTunes|
||Clean011 Checkpoint||Checkpoint - start learning the material offline! ocdevel.com/mlg/11 for notes and resources||3/7/2017||Free||View in iTunes|
||Clean010 Languages & Frameworks||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||3/6/2017||Free||View in iTunes|
||Clean009 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||3/3/2017||Free||View in iTunes|
||Clean008 Math||Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus. ocdevel.com/mlg/8 for notes and resources||2/22/2017||Free||View in iTunes|
||Clean007 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||2/18/2017||Free||View in iTunes|
||Clean006 Certificates & Degrees||Discussion on certificates and degrees from Udacity to a Masters degree. ocdevel.com/mlg/6 for notes and resources||2/16/2017||Free||View in iTunes|
||Clean005 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||2/15/2017||Free||View in iTunes|
||Clean004 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||2/11/2017||Free||View in iTunes|
||Clean003 Inspiration||Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear. ocdevel.com/mlg/3 for notes and resources||2/9/2017||Free||View in iTunes|
||Clean002 What is AI / ML||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||2/8/2017||Free||View in iTunes|
||Clean001 Introduction||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||1/31/2017||Free||View in iTunes|
Machine Learning Guide reveiw
Tyler's podcast is like a friend explaining ML to you. It is not like someone reading a script, and it is not like someone throwing a bunch of "jargon" at you. Tyler defines and explains the BIG words, in plain english. Please keep going Tyler!
So well done!
I am just blown away! I can’t believe how well it works on as a cast!
Good intro to ML
Easy to understand and digestible.