Machine Learning Guide

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Technology Education

What's Machine Learning Guide about?

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.

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MLA 020 Kubeflow

01.29.2022

Conversation with Dirk-Jan Kubeflow (vs cloud native solutions like SageMaker) Dirk-Jan Verdoorn - Data Scientist at Dept Agency Kubeflow. (From the website:) The Machine Learning Toolkit for Kubernetes. The Kubeflow project is dedicated to making deployments of machine learning (ML) ...

Machine Learning Guide episodes:

01.29.2022 MLA 020 Kubeflow Conversation with Dirk-Jan Kubeflow (vs cloud native solutions like SageMaker) Dirk-Jan Verdoorn - Data Scientist at Dept Agency Kubeflow. (From the website:) The Machine Learning Toolkit for Kubernetes. The Kubeflow project is dedicated to making deployments of machine learning (ML) ...
01.13.2022 MLA 019 DevOps Chatting with co-workers about the role of DevOps in a machine learning engineer's life Expert coworkers at Dept Matt Merrill - Principal Software Developer Jirawat Uttayaya - DevOps Lead The Ship It Podcast (where Matt features often) Devops tools Terraform ...
11.07.2021 MLA 018 Descript (Optional episode) just showcasing a cool application using machine learning Dept uses Descript for some of their podcasting. I'm using it like a maniac, I think they're surprised at how into it I am. Check out the transcript & see ...
11.06.2021 MLA 017 AWS Local Development Show notes: ocdevel.com/mlg/mla-17 Developing on AWS first (SageMaker or other) Consider developing against AWS as your local development environment, rather than only your cloud deployment environment. Solutions: Stick to AWS Cloud IDEs (Lambda, SageMaker Studio, Cloud9 Connect to deployed infrastructure ...
11.05.2021 MLA 016 SageMaker 2 Part 2 of deploying your ML models to the cloud with SageMaker (MLOps) MLOps is deploying your ML models to the cloud. See MadeWithML for an overview of tooling (also generally a great ML educational run-down.) SageMaker Jumpstart Deploy Pipelines ...
11.04.2021 MLA 015 SageMaker 1 Show notes Part 1 of deploying your ML models to the cloud with SageMaker (MLOps) MLOps is deploying your ML models to the cloud. See MadeWithML for an overview of tooling (also generally a great ML educational run-down.) SageMaker DataWrangler ...
01.18.2021 MLA 014 Machine Learning Server Server-side ML. Training & hosting for inference, with a goal towards serverless. AWS SageMaker, Batch, Lambda, EFS, Cortex.dev
01.03.2021 MLA 013 Customer Facing Tech Stack Client, server, database, etc.
11.09.2020 MLA 012 Docker Use Docker for env setup on localhost & cloud deployment, instead of pyenv / Anaconda. I recommend Windows for your desktop.
11.08.2020 MLG 032 Cartesian Similarity Metrics Show notes at ocdevel.com/mlg/32. L1/L2 norm, Manhattan, Euclidean, cosine distances, dot product Normed distances link A norm is a function that assigns a strictly positive length to each vector in a vector space. link Minkowski is generalized. p_root(sum(xi-yi)^p). "p" = ...
11.08.2020 MLA 011 Practical Clustering Kmeans (sklearn vs FAISS), finding n_clusters via inertia/silhouette, Agglomorative, DBSCAN/HDBSCAN
10.28.2020 MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK NLTK: swiss army knife. Gensim: LDA topic modeling, n-grams. spaCy: linguistics. transformers: high-level business NLP tasks.
11.06.2018 MLA 009 Charting tools matplotlib, Seaborn, Bokeh, D3, Tableau, Power BI, QlikView, Excel
10.26.2018 MLA 008 Exploratory Data Analysis EDA + charting. DataFrame info/describe, imputing strategies. Useful charts like histograms and correlation matrices.
10.16.2018 MLA 007 Jupyter Notebooks Run your code + visualizations in the browser: iPython / Jupyter Notebooks.
07.19.2018 MLA 006 Salary Salary based on location, gender, age, tech... from O'Reilly.
06.09.2018 MLA 005 Shapes & Sizes Dimensions, size, and shape of Numpy ndarrays / TensorFlow tensors, and methods for transforming those.
05.24.2018 MLA 003 Storage: HDF, Pickle, Postgres Comparison of different data storage options when working with your ML models.
05.24.2018 MLA 002 Numpy & Pandas Some numerical data nitty-gritty in Python.
05.24.2018 MLA 001 Certificates & Degrees Reboot on the MLG episode, with more confident recommends.
02.05.2018 MLG 029 Reinforcement Learning Intro Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.
02.04.2018 MLG 028 Hyperparameters 2 Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources
01.28.2018 MLG 027 Hyperparameters 1 Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources
01.27.2018 MLG 026 Project Bitcoin Trader Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources
10.30.2017 MLG 025 Convolutional Neural Networks Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources
10.07.2017 MLG 024 Tech Stack TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources
08.20.2017 MLG 023 Deep NLP 2 RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources
07.29.2017 MLG 022 Deep NLP 1 Recurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources
07.23.2017 MLG 020 Natural Language Processing 3 Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources
07.11.2017 MLG 019 Natural Language Processing 2 Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources
06.26.2017 MLG 018 Natural Language Processing 1 Introduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources
06.04.2017 MLG 017 Checkpoint Checkpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources
05.21.2017 MLG 016 Consciousness Can AI be conscious? ocdevel.com/mlg/16 for notes and resources
05.07.2017 MLG 015 Performance Performance evaluation & improvement. ocdevel.com/mlg/15 for notes and resources
04.23.2017 MLG 014 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
04.09.2017 MLG 013 Shallow Algos 2 Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier. ocdevel.com/mlg/13 for notes and resources
04.02.2017 12.5. Podcast still alive, sorry for delay Podcast is still alive, working on next episode - sorry for the delay! Sorry guys, had an intense last 3 weeks. Mid-move to Portland OR my employer folded so I had to hunt, stat (new expenses & all). Luckily I ...
03.19.2017 MLG 012 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
03.07.2017 MLG 010 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
03.04.2017 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
02.23.2017 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
02.19.2017 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
02.17.2017 MLG 006 Certificates & Degrees Discussion on certificates and degrees from Udacity to a Masters degree. ocdevel.com/mlg/6 for notes and resources
02.16.2017 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
02.12.2017 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
02.10.2017 MLG 003 Inspiration Show notes at ocdevel.com/mlg/3. Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear.
02.09.2017 MLG 002 What is AI, ML, DS 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 ...
02.01.2017 MLG 001 Introduction Show 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 ...