Machine Learning Guide
Un podcast de Dept
Catégories:
42 Épisodes
-
MLA 021 Databricks
Publié: 22/06/2022 -
MLA 020 Kubeflow
Publié: 29/01/2022 -
MLA 019 DevOps
Publié: 13/01/2022 -
MLA 018 Descript
Publié: 07/11/2021 -
MLA 017 AWS Local Development
Publié: 06/11/2021 -
MLA 016 SageMaker 2
Publié: 05/11/2021 -
MLA 015 SageMaker 1
Publié: 04/11/2021 -
MLA 014 Machine Learning Server
Publié: 18/01/2021 -
MLA 013 Customer Facing Tech Stack
Publié: 03/01/2021 -
MLA 012 Docker
Publié: 09/11/2020 -
MLG 032 Cartesian Similarity Metrics
Publié: 08/11/2020 -
MLG 031 The Podcasts Return
Publié: 28/10/2020 -
030 New Series: Machine Learning Applied
Publié: 24/05/2018 -
029 Reinforcement Learning Intro
Publié: 05/02/2018 -
028 Hyperparameters 2
Publié: 04/02/2018 -
027 Hyperparameters 1
Publié: 28/01/2018 -
026 Project Bitcoin Trader
Publié: 27/01/2018 -
025 Convolutional Neural Networks
Publié: 30/10/2017 -
024 Tech Stack
Publié: 07/10/2017 -
023 Deep NLP 2
Publié: 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.
