Machine Learning Guide

By OCDevel

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Category: Technology

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Subscribers: 957
Reviews: 0
Episodes: 60

Description

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.

Episode Date
MLA 030 AI Job Displacement & ML Careers
Feb 26, 2026
MLA 029 OpenClaw
Feb 22, 2026
MLA 028 AI Agents
Feb 22, 2026
MLA 027 AI Video End-to-End Workflow
Jul 14, 2025
MLA 026 AI Video Generation: Veo 3 vs Sora, Kling, Runway, Stable Video Diffusion
Jul 12, 2025
MLA 025 AI Image Generation: Midjourney vs Stable Diffusion, GPT-4o, Imagen & Firefly
Jul 09, 2025
MLG 036 Autoencoders
May 30, 2025
MLG 035 Large Language Models 2
May 08, 2025
MLG 034 Large Language Models 1
May 07, 2025
MLA 024 Agentic Software Engineering
Apr 13, 2025
MLA 023 Claude Code Components
Apr 13, 2025
MLA 022 Vibe Coding
Feb 09, 2025
MLG 033 Transformers
Feb 09, 2025
MLA 021 Databricks: Cloud Analytics and MLOps
Jun 22, 2022
MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes
Jan 29, 2022
MLA 019 Cloud, DevOps & Architecture
Jan 13, 2022
MLA 017 AWS Local Development Environment
Nov 06, 2021
MLA 016 AWS SageMaker MLOps 2
Nov 05, 2021
MLA 015 AWS SageMaker MLOps 1
Nov 04, 2021
MLA 014 Machine Learning Hosting and Serverless Deployment
Jan 18, 2021
MLA 013 Tech Stack for Customer-Facing Machine Learning Products
Jan 03, 2021
MLA 012 Docker for Machine Learning Workflows
Nov 09, 2020
MLG 032 Cartesian Similarity Metrics
Nov 08, 2020
MLA 011 Practical Clustering Tools
Nov 08, 2020
MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK
Oct 28, 2020
MLA 009 Charting and Visualization Tools for Data Science
Nov 06, 2018
MLA 008 Exploratory Data Analysis (EDA)
Oct 26, 2018
MLA 007 Jupyter Notebooks
Oct 16, 2018
MLA 006 Salaries for Data Science & Machine Learning
Jul 19, 2018
MLA 005 Shapes and Sizes: Tensors and NDArrays
Jun 09, 2018
MLA 003 Storage: HDF, Pickle, Postgres
May 24, 2018
MLA 002 Numpy & Pandas
May 24, 2018
MLA 001 Degrees, Certificates, and Machine Learning Careers
May 24, 2018
MLG 029 Reinforcement Learning Intro
Feb 05, 2018
MLG 028 Hyperparameters 2
Feb 04, 2018
MLG 027 Hyperparameters 1
Jan 28, 2018
MLG 026 Project Bitcoin Trader
Jan 27, 2018
MLG 025 Convolutional Neural Networks
Oct 30, 2017
MLG 024 Tech Stack
Oct 07, 2017
MLG 023 Deep NLP 2
Aug 20, 2017
MLG 022 Deep NLP 1
Jul 29, 2017
MLG 020 Natural Language Processing 3
Jul 23, 2017
MLG 019 Natural Language Processing 2
Jul 11, 2017
MLG 018 Natural Language Processing 1
Jun 26, 2017
MLG 017 Checkpoint
Jun 04, 2017
MLG 016 Consciousness
May 21, 2017
MLG 015 Performance
May 07, 2017
MLG 014 Shallow Algos 3
Apr 23, 2017
MLG 013 Shallow Algos 2
Apr 09, 2017
MLG 012 Shallow Algos 1
Mar 19, 2017
MLG 010 Languages & Frameworks
Mar 07, 2017
MLG 009 Deep Learning
Mar 04, 2017
MLG 008 Math for Machine Learning
Feb 23, 2017
MLG 007 Logistic Regression
Feb 19, 2017
MLG 006 Certificates & Degrees
Feb 17, 2017
MLG 005 Linear Regression
Feb 16, 2017
MLG 004 Algorithms - Intuition
Feb 12, 2017
MLG 003 Inspiration
Feb 10, 2017
MLG 002 Difference Between Artificial Intelligence, Machine Learning, Data Science
Feb 09, 2017
MLG 001 Introduction
Feb 01, 2017