Machine Learning Guide
82 episodes - English - Latest episode: almost 2 years ago - ★★★★★ - 744 ratingsMachine 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.
Homepage Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Episodes
MLA 021 Databricks
June 22, 2022 01:50 - 25 minutes - 23.6 MBDiscussing Databricks with Ming Chang from Raybeam (part of DEPT®)
MLA 020 Kubeflow
January 29, 2022 00:48 - 1 hour - 62.2 MBConversation 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) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastruc...
MLA 019 DevOps
January 13, 2022 22:42 - 1 hour - 68.3 MBChatting 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 Ansible Pictures (funny and serious) Which AWS container service should I use? A visual guide on troubleshooting Kubernetes deployments Public Cloud Services Comparison Killed by Google aCloudGuru AWS curriculum
MLA 018 Descript
November 07, 2021 01:26 - 6 minutes - 5.82 MB(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 how it performed. Descript The Ship It Podcast How to ship software, from the front lines. We talk with software developers about their craft, developer tools, developer productivity and what makes software development awesome. Hosted by your friends at Rocket...
MLA 017 AWS Local Development
November 06, 2021 05:39 - 1 hour - 58.6 MBShow 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 via Client VPN Terraform example YouTube tutorial Creating the keys LocalStack Infrastructure as Code Terraform CDK Serverless
MLA 016 SageMaker 2
November 05, 2021 05:20 - 59 minutes - 54.7 MBPart 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 Monitor Kubernetes Neo
MLA 015 SageMaker 1
November 04, 2021 06:21 - 46 minutes - 42.8 MBShow 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 Feature Store Ground Truth Clarify Studio AutoPilot Debugger Distributed Training And I forgot to mention JumpStart, I'll mention next time.
MLA 014 Machine Learning Server
January 18, 2021 01:31 - 51 minutes - 47.4 MBServer-side ML. Training & hosting for inference, with a goal towards serverless. AWS SageMaker, Batch, Lambda, EFS, Cortex.dev
MLA 013 Customer Facing Tech Stack
January 03, 2021 01:20 - 46 minutes - 42.9 MBClient, server, database, etc.
MLA 012 Docker
November 09, 2020 01:17 - 30 minutes - 28.3 MBUse Docker for env setup on localhost & cloud deployment, instead of pyenv / Anaconda. I recommend Windows for your desktop.
MLG 032 Cartesian Similarity Metrics
November 08, 2020 17:00 - 41 minutes - 38.1 MBShow 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" = ? (1, 2, ..) for below. L1: Manhattan/city-block/taxicab. abs(x2-x1)+abs(y2-y1). Grid-like distance (triangle legs). Preferred for high-dim space. L2: Euclidean. sqrt((x2-x1)^2+(y2-y1)^2. sqrt(dot-product). Straigh...
032 Cartesian Similarity Metrics
November 08, 2020 05:10 - 42 minutes - 77.8 MBSocial media Gnothi and email me a screenshot/link for 3-month access to Machine Learning Applied; commit code to the Github repository for life-access. 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" = ? (1, 2, ..) for below. L1: Manhattan/city-block/taxicab. abs(x2-x1)+abs(y2-y1). Grid-like distance (triangle legs). Preferred for high-dim space. L2: Euclide...
MLA 011 Practical Clustering
November 08, 2020 01:13 - 34 minutes - 31.2 MBKmeans (sklearn vs FAISS), finding n_clusters via inertia/silhouette, Agglomorative, DBSCAN/HDBSCAN
MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK
October 28, 2020 01:08 - 25 minutes - 23.4 MBNLTK: swiss army knife. Gensim: LDA topic modeling, n-grams. spaCy: linguistics. transformers: high-level business NLP tasks.
031 The Podcasts Return
October 28, 2020 00:38 - 7 minutes - 6.96 MBThe podcasts return with new content, especially about NLP: BERT, transformers, spaCy, Gensim, NLTK. Accompanied by a community project - Gnothi, a journal that uses AI to provide insights and resources. Website https://gnothiai.com, project https://github.com/lefnire/gnothi. Share the website on social media and email me a link/screenshot for free access to Machine Learning Applied for 3 months; contribute to the Github repository for free access for life.
MLA 009 Charting tools
November 06, 2018 01:06 - 24 minutes - 22 MBmatplotlib, Seaborn, Bokeh, D3, Tableau, Power BI, QlikView, Excel
MLA 008 Exploratory Data Analysis
October 26, 2018 08:00 - 24 minutes - 22.3 MBEDA + charting. DataFrame info/describe, imputing strategies. Useful charts like histograms and correlation matrices.
MLA 007 Jupyter Notebooks
October 16, 2018 08:00 - 16 minutes - 14.8 MBRun your code + visualizations in the browser: iPython / Jupyter Notebooks.
MLA 006 Salary
July 19, 2018 08:00 - 18 minutes - 17.3 MBSalary based on location, gender, age, tech... from O'Reilly.
MLA 005 Shapes & Sizes
June 09, 2018 08:00 - 26 minutes - 24.2 MBDimensions, size, and shape of Numpy ndarrays / TensorFlow tensors, and methods for transforming those.
030 New Series: Machine Learning Applied
May 24, 2018 22:17 - 5 minutes - 6.83 MBMLG: 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 episodes. ocdevel.com/mlg/30 for notes and resources
030 Podcast Update
May 24, 2018 22:17 - 6 minutes - 11.2 MBShow notes: https://ocdevel.com/mlg/30. Re-doing MLG, new podcast Machine Learning Applied, new project Gnothi, new resources page.
MLA 003 Storage: HDF, Pickle, Postgres
May 24, 2018 10:00 - 17 minutes - 15.6 MBComparison of different data storage options when working with your ML models.
MLA 002 Numpy & Pandas
May 24, 2018 09:00 - 17 minutes - 16 MBSome numerical data nitty-gritty in Python.
MLA 001 Certificates & Degrees
May 24, 2018 08:00 - 11 minutes - 10.4 MBReboot on the MLG episode, with more confident recommends.
MLG 029 Reinforcement Learning Intro
February 05, 2018 16:50 - 43 minutes - 39.5 MBIntroduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.
029 Reinforcement Learning Intro
February 05, 2018 16:50 - 42 minutes - 39.3 MBIntroduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.
028 Hyperparameters 2
February 04, 2018 18:35 - 50 minutes - 46.4 MBHyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources
MLG 028 Hyperparameters 2
February 04, 2018 18:35 - 50 minutes - 46.4 MBHyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources
027 Hyperparameters 1
January 28, 2018 03:28 - 46 minutes - 42.5 MBHyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources
MLG 027 Hyperparameters 1
January 28, 2018 03:28 - 46 minutes - 42.9 MBHyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources
MLG 026 Project Bitcoin Trader
January 27, 2018 03:05 - 38 minutes - 35.2 MBCommunity project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources
026 Project Bitcoin Trader
January 27, 2018 03:05 - 38 minutes - 35.6 MBCommunity project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources
025 Convolutional Neural Networks
October 30, 2017 13:47 - 44 minutes - 39.3 MBConvnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources
MLG 025 Convolutional Neural Networks
October 30, 2017 13:47 - 44 minutes - 40.6 MBConvnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources
MLG 024 Tech Stack
October 07, 2017 01:40 - 1 hour - 56.2 MBTensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources
024 Tech Stack
October 07, 2017 01:40 - 1 hour - 55.4 MBTensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources
MLG 023 Deep NLP 2
August 20, 2017 23:23 - 42 minutes - 39.2 MBRNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources
023 Deep NLP 2
August 20, 2017 23:23 - 42 minutes - 38.3 MBRNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources
022 Deep NLP 1
July 29, 2017 01:55 - 49 minutes - 44.9 MBRecurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources
MLG 022 Deep NLP 1
July 29, 2017 01:55 - 49 minutes - 45.2 MBRecurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources
021 New Series: Machine Learning Applied
July 27, 2017 23:33 - 1 minute - 2.21 MBIntroducing a new podcast series on Patreon: Machine Learning Applied. ocdevel.com/mlg/21 for notes and resources
MLG 020 Natural Language Processing 3
July 23, 2017 23:47 - 40 minutes - 37.1 MBNatural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources
020 Natural Language Processing 3
July 23, 2017 23:47 - 40 minutes - 36.1 MBNatural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources
MLG 019 Natural Language Processing 2
July 11, 2017 01:40 - 1 hour - 60.1 MBNatural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources
019 Natural Language Processing 2
July 11, 2017 01:40 - 1 hour - 60.6 MBNatural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources
MLG 018 Natural Language Processing 1
June 26, 2017 00:06 - 57 minutes - 53 MBIntroduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources
018 Natural Language Processing 1
June 26, 2017 00:06 - 57 minutes - 50.8 MBIntroduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources
MLG 017 Checkpoint
June 04, 2017 05:00 - 7 minutes - 7.22 MBCheckpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources
017 Checkpoint
June 04, 2017 05:00 - 7 minutes - 6.32 MBCheckpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources