Machine Learning Guide
A podcast by Dept
Categories:
42 Episodes
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MLA 021 Databricks
Published: 22/06/2022 -
MLA 020 Kubeflow
Published: 29/01/2022 -
MLA 019 DevOps
Published: 13/01/2022 -
MLA 018 Descript
Published: 7/11/2021 -
MLA 017 AWS Local Development
Published: 6/11/2021 -
MLA 016 SageMaker 2
Published: 5/11/2021 -
MLA 015 SageMaker 1
Published: 4/11/2021 -
MLA 014 Machine Learning Server
Published: 18/01/2021 -
MLA 013 Customer Facing Tech Stack
Published: 3/01/2021 -
MLA 012 Docker
Published: 9/11/2020 -
MLG 032 Cartesian Similarity Metrics
Published: 8/11/2020 -
MLG 031 The Podcasts Return
Published: 28/10/2020 -
030 New Series: Machine Learning Applied
Published: 24/05/2018 -
029 Reinforcement Learning Intro
Published: 5/02/2018 -
028 Hyperparameters 2
Published: 4/02/2018 -
027 Hyperparameters 1
Published: 28/01/2018 -
026 Project Bitcoin Trader
Published: 27/01/2018 -
025 Convolutional Neural Networks
Published: 30/10/2017 -
024 Tech Stack
Published: 7/10/2017 -
023 Deep NLP 2
Published: 20/08/2017
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.