THE ML ENGINEER · YEAR ARCHIVE

Newsletter issues from 2022

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#210Dec 2022The History of AI & Deep Learning, Trends and Insights from Github, AI Generation Text to 3D Models, ForwardForward Algorithm Insight, The T-Shaped MLOps Engineer + more 🚀mlops #209Dec 2022OSS Insights at Scale with TiDB, O'Reilly Trends December 2022, Stanford ML Systems Design, Linux Foundation 2022 Report, Statistical vs DL Forecasting + more 🚀data-engineering · forecasting #208Dec 2022NeurIPS Workshop Keynote Vid, How Production ML Breaks, The Illustrated Stable Diffusion, The McKinsey State of AI Report, Anomaly Detection Benchmark + more 🚀generative-ai · mlops · forecasting #207Dec 2022NeurIPS on Prod ML Challenges, ChatGPT Continues to Surprise, Advent of Code Skill Polishing, Binance MLOps Architecture, PyTorch 2.0 Has Been Released + more 🚀mlops #206Nov 2022PyData Global 2022 Coming Up, Algorithmic Responsibility Panel, Securing ML Algorithms in EU, Large Language Models Review, SICP Key CompSci Foundation + more 🚀llms · ml-security · ai-policy #205Nov 2022The Complete Guide to NLP, Galactica The Scientific LLM, Thoughts on ML Engineering, Monzo on Argo Rollouts at Scale, NeurIPS on Prod ML Challenges + more 🚀nlp · llms · mlops #204Nov 2022Metadata In End To End MLOps, NeurIPS on Prod ML Challenges, The Modern Startup Architecture, TikTok SotA Recommender Sys, The Stream Processing Index + more 🚀mlops · ml-security · recommender-systems #203Nov 2022Kubernetes AI Keynote & Videos, Metadata for End to End MLOps, Tech Trends to Watch Nov 2022, Andrej Karpathy NN Zero to Hero, Maths for CompSci & ML Book + more 🚀mlops #202Oct 2022ACM US & Europe AI Principles, Prometheus The Documentary, Healthcare Causal Inference ML, Bias Bounty on Algorithmic Bias, Designing Data Product Canvas + more 🚀ai-ethics · mlops · ml-research #201Oct 2022Kubernetes AI Opening Keynote, Data Mesh Architecture Definition, NVIDIA Optimizing Data Collect, Growing Metadata Mgmt Systems, Data Product Management + more 🚀data-engineering · ai-policy #200Oct 2022The State of AI Report is Out, Kubernetes AI Day North America, Bert, LSTMs & Toxic Detection, Stripe with Migrations at Scale, OpenAI Introducing Whisper + more 🚀nlp #199Oct 2022AI Infrastructure Landscape, RecSys Recap & Best Papers, DoorDash Recommendations, Google Cloud Architecture Centre, AlphaTensor Matrix Multiplication + more 🚀mlops · recommender-systems · ml-research #198Oct 2022Pro-Innovation AI Regulation, Full Stack Deep Learning Course, Netflix on Large Scale RecSys, Meta New Text-to-Video Model, The Vector Database Index + more 🚀ai-policy · mlops · recommender-systems #197Sept 2022Instacart Real Time ML Journey, Operationalising ML Survey, Automate with Python in K8s, Building NoSQL from Scratch, Green Programming Languages + more 🚀data-engineering #196Sept 2022PyTorch Joins Linux Foundation, Deploy & Monitor ML at NeurIPS, Trends to Watch September, ML Algorithms from Scratch, Curated List of Awful AI Cases + more 🚀ai-ethics · ml-education #195Sept 2022Best Practices for ML Engineering, NCSC Principles for ML Security, Practical OCR with PaddleOCR, Large Scale RecSys at Alibaba, PapersWithCode Annual Trends + more 🚀mlops · ml-security · recommender-systems #194Sept 2022Secure Machine Learning Talk, Stable Diffusion Public Release, Popular NLP Projects 2022, CompSci Papers We Love, Code Performance Speed Limits + more 🚀ml-security · generative-ai · nlp #193Aug 2022Deploying ML at NeurIPS 2022, Scaling AI Education at Uber, Scale System Design Knowledge, Open Source Ecosystem at Wolt, Confidential Computing in ML + more 🚀ml-education · ai-ethics #192Aug 2022Data Quality Mgmt at Linkedin, Design Patterns in ML Systems, Debt in ML Maintenance at Scale, Data-Oriented Design in Software, Data Visualisation in Python + more 🚀mlops #191Aug 2022O'Reilly Radar Trends to Watch, Advanced ML Model Monitoring, Building Prod MLOps Pipelines, Building a Two-Layered RecSys, SciPy 2022 Conference Videos + more 🚀mlops · recommender-systems #190Aug 2022FastAI Practical ML Course, Golang Based ML Framework, JuliaCon Recordings Released, MLSecOps Top 10 Vulnerabilities, Building Containers From Scratch + more 🚀ml-education · mlops · ml-security #189Jul 2022MLSecOps Top 10 Vulnerabilities, Uber's Data Workflows at Scale, Implementing Research Papers, DeepMind AlphaFold Universe, Statistical ML Summer School + more 🚀ml-security · mlops · ml-research #188Jul 2022Uber's OLAP Infra at Scale, Netflix Scaling with GraphQL, Scaling Microservices at Lyft, Data Annotation & Synthetic Gen, NVIDIA on Practical Art with AI + more 🚀data-engineering · generative-ai #187Jul 2022MLOps Meetup Driverless & E2e, Stitchfix and their MLOps Platform, AI Infra Ecosystem Report 2022, Stanford Transformers Course, Practical Guide to A/B Testing + more 🚀mlops · llms #186Jul 2022MLOps Definition & Architecture, When Language Models Too Big, No Language Left Behind LLM, Software Dev Lifecycle Evolution, Lessons From Chaos Monkey + more 🚀mlops · llms · nlp #185Jul 2022Free Open Source MLOps Course, MLOps Taxonomy & Methodology, ML Tracking & Experiment Tools, Shipping To Production Principles, Reverse Interview Candidate Tips + more 🚀mlops #184Jun 2022Andrew Ng New ML Course, MLOps Open Source Course, Deep Learning RecSys Survey, Effective Software Testing Guide, Stackoverflow Developer Survey + more 🚀ml-education #183Jun 2022Reproducible Deep Learning, Trends to Watch in June 2022, Embedding Search at Faceboook, Fallacies of Distributed Systems, Github Malware Store Database + more 🚀mlops · llms · data-engineering #182Jun 2022High Performance ML at Scale, Orchestrating ML Applications, Kafka Streaming Patterns for ML, The Go Programming Language, The SPACE of Dev Productivity + more 🚀ai-agents #181Jun 2022ML ∪ Security ∪ DevOps, Machine Learning Trends to Know, Observability Trends & AIOps, Featurestore Types for ML & Data, Data Science and Storytelling + more 🚀mlops #180May 2022Netflix end-to-end MLOps System, Pick&Choose MyMLOps Stack, How to Avoid Pitfalls of MLOps, Google Brain's Imagen Model, Airbnb Recommender Systems + more 🚀mlops · generative-ai · recommender-systems #179May 2022PyCon Machine Learning Security, Approaching (Almost) all ML Book, Airbnb's Microservice Architecture, Image Outlier Detection Tutorial, The HackerNews Algo Internals + more 🚀ml-security · forecasting #178May 2022Enterprise Declarative ML System, Alibaba Scale Recommenders, DeepMind's Generalist Agent, Product Success DS Guide, Transformers from Scratch + more 🚀mlops · recommender-systems · ai-agents #177May 2022MLOps London Meetup May, End-to-end Open Source MLOps, Machine Learning at Discord, Faceboook's 175B Model Release, Running Kubernetes in Production + more 🚀mlops · llms #176May 2022Monzo's Machine Learning Stack, Real World RecSys that Scales, MLOps London Meetup May, Human-Centric MLOps in K8s, Rethink interviews for Great Devs + more 🚀mlops · recommender-systems #175Apr 2022Production ML and Security: MLSecOps, MLOps in Food Delivery at Wolt, OpenAI Davinci Building Games, AI in 2021 GitLab DevOps Survey, C is Not a Language Anymore + more 🚀mlops · ai-agents #174Apr 2022Spotify Semantic AI for Podcasts, Microsoft on Data Drift at Scale, ZenML E2E Deployment Seldon, Borg, Omega and Kubernetes, The Annual 2022 AI Index + more 🚀mlops #173Apr 2022Linkedin's Explainable AI RecSys, Google's AI Autogen Summary, OpenAI's Text to Image Model, Wisdom from 50+ Years of Code, Continuous Intelligence at Scale + more 🚀explainability · generative-ai · mlops #172Apr 2022Secure ML with MLSecOps, The State of Data Engineering, Doordash Declarative Fabricator, Google Brain Distributed Flow ML, Hashicorp from CEO to Tech IC + more 🚀mlops · ml-security · data-engineering #171Mar 2022Machine Learning Youtube List, Data Management Trends 2022, Ultimate Guide to Text Similarity, OpenTelemetry and Python, Lessons Learned from 10y OSS + more 🚀ml-education · mlops · llms #170Mar 2022MLOps Virtual & Online Talks, Karpathy's Deep Learning Retro, Stanford 2022 AI Index Report, Microsoft ML Microservice Scale, Kubernetes the Hard Way Course + more 🚀mlops · ml-research #169Mar 2022The Future of AI Infrastructure, Radar Trends to Watch March, Cloud Resources for DL Training, Google NLP Model for Everything, Cloud Security Themes for 2022 + more 🚀mlops · llms · ml-security #168Mar 2022Kompute Promoted to Incubation, Modern C++ Computer Vision, Another Road to MLOps Mastery, Extending Kubernetes for MLOps, Airflow Unbundling ETL at Scale + more 🚀mlops · gpu-compute #167Feb 2022ML Monitoring with Outliers & Drift, Netflix Infra Systems Design, Building Infrastructure Platforms, Uber Orbit Bayesian ML Platform, The State of ML in JuliaLang + more 🚀mlops #166Feb 2022Data Scientists and Kubernetes, Cross Vendor GPU Acceleration, Open Python ML Inference Server, Building ML Infra at Netflix, Interpretable Machine Learning + more 🚀mlops · gpu-compute · explainability #165Feb 2022Evolution of AI Ethics Meetup, Distribution Shifts and Monitoring, O'Reilly Radar Trends Feb 2022, Overview of MLOps Definition, Millions of Messages with Kafka + more 🚀mlops · data-engineering · ai-ethics #164Feb 2022DeepMind AI Dev AlphaCode, Databases 2022 Year in Review, Evolving Notebook Infra at Twitter, Doordash Feature Eng System, O'Reilly on Causal Inference + more 🚀mlops · ai-agents · ml-research #163Jan 2022CI/CD for Prod ML at Scale Event, Machine Learning at Discord, Kubernetes the Documentary Pt.2, Open Source MLOps E2e Stacks, ML Algorithms Cheat Sheet + more 🚀mlops #162Jan 2022MLOps Meetup Online this Week, Architecture Series for MLOps, Testing Approach in Data Science, A Gentle Intro to Shapley Values, Kubernetes the Documentary + more 🚀mlops · explainability #161Jan 2022Principles for Responsible AI, Google Research ML Themes, Introduction to Explainable ML, ML Architectures from Industry, Validation & Testing of ML Models + more 🚀ai-ethics · explainability #160Jan 2022MLOps Free University Course, AI & Data Trends for 2022, How to Evaluate MLOps Tools, The State of Graph ML in 2022, Deep Learning Interview Prep + more 🚀mlops · ml-education #159Jan 2022We wish a HAPPY NEW YEAR to all MLE Newsletter subscribers!! 🎉🎇🎁🎊🎈⛄❄🥳, A Year Full of Amazing AI Papers, Model Monitoring Areas Overview, Data Science for Infrastructure, Master Dataclasses in Python, Graph Neural Networks Overview + more 🚀ml-research · mlops