THE ML ENGINEER · YEAR ARCHIVE

Newsletter issues from 2021

Newsletter home

#158Dec 2021We wish happy holidays to all our MLE Newsletter subscribers!! 🎉🎇🎁🎊🎈⛄❄🥳, Prod ML Monitoring Deep Dive, Data & AI Platforms at Shopify, Evolution of the Canonical Stack, Must Read Books in MLOps 2022, 2022 AI Predictions from Experts + more 🚀mlops #157Dec 2021Call to Build Models like OSS, Cross-Vendor GPGPU at CppCon, The 18 Highest Paying Dev Roles, Making Language Models Smart, Scaling Teams Parallel Systems + more 🚀mlops · gpu-compute · llms #156Dec 2021Video for NeurIPS 2021 is Out!, Twitter Processing Billion Events, Avoiding Data Disasters Example, NLP and AI in Financial Services, 26-Week Data Science Course + more 🚀data-engineering · mlops · nlp #155Dec 2021NeurIPS LXAI Opening Keynote, Machine Learning Advent of Code, Open MLOps End to End Tech, Kubernetes Introduction Course, O'Reilly Radar Trends December + more 🚀mlops · ai-ethics #154Nov 2021NeurIPS LXAI Opening Keynote, Reddit Production ML Architecture, State of Privacy Preserving ML, Organisational Data Challenges, Dynamic AI Learning Mind Map + more 🚀privacy · ai-ethics #153Nov 2021O'Reilly Radar Trends to Watch, Thoughtworks MLOps Platforms, MLOps Anti-Paterns & Lessons, Containers from the Bottom Up + more 🚀mlops · ml-education · ml-research #152Nov 2021MLOps LDN November Meetup, Scalable Explainable NLP Search, KubeCon North America 2021, AI begins with Data Quality, Reflections 10k hrs Programming + more 🚀mlops · explainability #151Nov 2021NeurIPS LX Workshop Keynotes, HuggingFace Online NLP Course, Neural Network for Chess Engine, SpaCy vs NLTK. Normalization, The State of AI-Generated Code + more 🚀nlp · ml-education #150Oct 2021MLOps and Devops around Data, The Guide to GitOps Architecture, Case Study for Ethics in AI/ML, Large Scale ML Multi-Modal Data, ML Monitoring at EuroPython + more 🚀mlops · ai-ethics #149Oct 2021NeurIPS Practical Responsible AI, Github on Deploying ML Safely, The State of AI Report 2021, Shopify on Building ML Models, 20 Lessons Across 20 Years + more 🚀ai-policy · mlops · ml-education #148Oct 2021Linkedin's Approach to XAI, Prod ML Resources Curated List, Top Places to Work for ML, ML, AI & Data Landscape (MAD), Training System for Industry Scale + more 🚀explainability #147Oct 2021Real Time Fraud Detection at ING, Practical AI Ethics from MLOps, Federated Learning Research, The Road to Intelligent RPA, Technical Debt Opinion Survey + more 🚀ai-ethics · privacy #146Oct 2021GPT2 with ONNX, Triton & Tempo, 2021 Data/AI Salary Survey, An Intuitive Deep Dive on Drift, A Gentle Introduction to MLOps, Julia Multi-Dispatch Effectiveness + more 🚀mlops #145Sept 2021MLOps LDN Online & In-Person, First GPU Acceleration Kompute, ICML 2021 Videos & Slides, Graph Database Ecosystem, Kubernetes Operators Made Easy + more 🚀mlops · data-engineering #144Sept 2021Kompute v0.8.0 Now Released, ML and High Interest Tech Debt, Gentle Intro to Graph Neural Nets, Educational ML with EpyNN, Adoption of GraphQL at Paypal + more 🚀gpu-compute · ml-research · ml-education #143Sept 2021Machine Learning EngSci Book, Graph Deep Learning Overview, Massively Scaling ML Training, FAANG Interview Prep Repository, Awesome Kubernetes Lists + more 🚀ml-education · ml-research · gpu-compute #142Sept 2021Principles for Digital Citizenship, Stories from ML Practitioners, Drift Without Labelled Data, Software Design & Data Scientists, Data Quality Unpacked + more 🚀ai-ethics · mlops #141Aug 2021Kompute Joins Linux Foundation, MLOps London Meetup Kickoff, Feature Stores Demystified, Data Science Efficient Python, Auditing ML for Compliance Risk + more 🚀gpu-compute · mlops · ai-ethics #140Aug 2021CompSci Favourite Papers, AI & Data Trends to Watch, Language Model Learnings, Trending Open Source MLOps, TorchServe Model Optimization + more 🚀mlops · explainability #139Aug 2021StackOverflow 2021 Dev Survey, Alibi for ML Explainability, Data Science Role Evolution, CPU Transformer Optimization, Open End-to-end MLOps Platform + more 🚀explainability · llms · mlops #138Aug 2021EU AI Regulation Consultation, Declarative ML Systems, MLOps Event with Andrew Ng, MLOps Feature Stores Review, An Intro to Statistical Learning + more 🚀ai-policy · mlops #137Jul 2021Uber Distributed Computing AI, Building Robust ML Workflows, Bjarne on Future of Programming, Papers with Code Highlights, A Base ML Project Starter + more 🚀gpu-compute · mlops #136Jul 2021A Time Series DB from Scratch, Best of Speed & Simpl. w Julia, Towards Next Gen Dataflow, The Future of Deep Learning, Privacy & Cybersecurity Merging + more 🚀ml-security #135Jul 2021Drift Detection: An Introduction, The HashiCorp OpenCore Story, Guide to Onboarding Developers, Neural Net in Julia from Scratch, Exploiting Security in ML Binaries + more 🚀mlops · ml-security · gpu-compute #134Jul 2021From ML Model to Microservice, HuggingFace Founder on MLOps, How to NOT Measure Latency, MIT Deep Learning Intro Course, Data Mesh Design & Architecture + more 🚀mlops · ml-education #133Jul 2021Pitfalls of Causal Inference in XAI, 7 Layers of MLOps Security, Growing Large Language Models, Automated Data Wrangling, Clever vs Insightful Code + more 🚀explainability · mlops · llms #132Jun 2021Machine Learning Interview Prep, ML Data Structures with Pydantic, Applied NLP Thinking Solutions, Disasters in a Microservice World, A Day in the Life of a Senior Dev + more 🚀ml-education · mlops · nlp #131Jun 2021HuggingFace Online Course 🤗, TWIML’s AI Solutions Guide, The Top Trends in Tech Report, Going Full Circle with Kafka, Introduction to Vector Databases + more 🚀llms · mlops · data-engineering #130Jun 2021All-Things-Python at Netflix, Monitoring ML Systems Course, AI Risk and Liability in Industry, Kubernetes Learning from Scratch, What is Your ML Model Hiding + more 🚀mlops · ai-policy · explainability #129Jun 2021GitOps Demystified in Practice, Robust ML Monitoring Overview, DeepCheapFakes and Impact, Detecting & Mitigating Ethical Risk, Biases in AI Systems Taxonomy + more 🚀mlops · ai-ethics #128May 2021Key AI Research Labs In Europe, Responsible AI at Linkedin, Lessons from Netflix, Spotify, etc., Twitter on Elastic + Neural Nets, Three ML Roles in Organisations + more 🚀ai-ethics · mlops · ml-research #127May 2021Get started with MLOps, Building Drift Monitoring System, Better Abstractions in Prod ML, Start Guide to Anomaly Detection, Revisiting Dev Design Patterns + more 🚀mlops · forecasting #126May 2021Kubernetes AI & ML Day Talks, ML Cards for MLOps Governance, MLOps & Differences to DevOps, AI Usecases Beyond Automation, Andrew Ng Courses on MLOps + more 🚀mlops · ai-policy · ai-ethics #125May 2021AI Adoption in Enterprise 2021, State of Data Engineering in 2021, Choosing Best E2E MLOps Tools, Python Beg. to Adv. Resources, Importance of Reliable Metadata + more 🚀mlops · data-engineering · ml-education #124May 2021Automated ML Eval at Scale, Tech Capabilities for MLOps, Selecting ML Feature Eng Method, Eng Best Practices in Data Gov, The NLP Index with 3000+ Repos + more 🚀ml-research · mlops · ai-policy #123Apr 2021Real time Data Infra at Uber, CERN on Scaling 600 Clusters, OpenAI Powered Linux Shell, DevSecOps for Machine Learning, Python 3.10 Feature Highlights + more 🚀data-engineering · llms · mlops #122Apr 2021Exploiting Security ML Pickles, Free AutoML Online Course, Neural Networks in Minecraft, ML Deployment Online Course, Defining DataOps and MLOps + more 🚀ml-security · mlops · ml-research #121Apr 2021MIT Deep Learning Life Sciences, Build Your Voice Cloning App, Data Quality in AI Products, Deep Learning for Cancer Dataset, New Sklearn Features Overview + more 🚀mlops · ml-education #120Apr 2021Machine Learning in Healthcare, CPU Architecture Golden Age, Growing Importance of Metadata, Data Quality at Airbnb + more 🚀mlops #119Mar 2021Andrew Ng deep dive on MLOps, ML & DL Online Courses, Playbook for Model Monitoring, Building a Database from Scratch, Continuous Retraining Strategy + more 🚀mlops · ml-education #118Mar 2021Visualizing Timeliness at Airbnb, Video Calls on Steroids w NVIDIA, Break a Prod Model in 20 Days, The Annual 2021 AI Index, The Next Generation of AI + more 🚀mlops · ai-ethics #117Mar 2021Starcraft AI Programming Tutorial, The Netflix Cosmos Platform, Scaling ETL Workers with K8s, Production ML at Booking.com, Kaggle Tricks & Best Practices + more 🚀reinforcement-learning · mlops #116Mar 2021Scaling Linkedin Experiments, The Rise of Metadata Systems, Data Version Control 2.0 Release, The Graph Neural Net Repository, The Python SpeedSheet Docs + more 🚀ml-research #115Feb 2021Towards Simple Trustworthy AI, Python Developers Survey 2020, SpaCy 3.0 Launch Highlights, Neural Massive Online Multiplayer, Teaching Cars to See at Scale + more 🚀nlp · ai-agents · explainability #114Feb 2021Gen Z and Artificial Intelligence, Security in Prod ML Systems, How To Do All in Computer Vision, Medicine's ML Problem, Top 50 Matplotlib Visualisations + more 🚀ml-security · ai-ethics · computer-vision #113Feb 2021Linux Foundation AI Principles, Beyond CUDA Python in GPU, Building a Chess AI Engine, Data in Healthcare & Life Science, ML Reliability Engineering + more 🚀gpu-compute · ai-ethics · mlops #112Feb 2021Misinformation: Tech & Solutions, Metadata Management Systems, Papers With Code Datasets, AI & ML Platforms in 2021, AI Regulatory Proposals + more 🚀ai-policy · mlops #111Jan 2021Top 2020 ML Notebooks, Massive Scale Kubernetes for AI, Tech in 2020 Data Science, Architecture of ML Systems, State of AI Ethics Report 2021 + more 🚀mlops · ai-ethics #110Jan 2021Entire CS Curriculum in Youtube, From MLOps to MLOops, 2020's Top ML Papers, Python Data Science Startups, The "Simplest" NumPy Course + more 🚀ml-education · ai-ethics · ml-research #109Jan 2021Production ML Monitoring at SF, 100+ Free (& OSS) Dev Books, The geopolitics of AI & ML, Building Decent Software Startup, Uber’s Real-Time Push Platform + more 🚀mlops · data-engineering #108Jan 2021Harvard Introduction to CompSci, ML & DL Compendium 2017-2020, NYU Deep Learning with PyTorch, Python & Jupyter in Excel (Yep), Learning NLP the Practical Way + more 🚀ml-education · nlp · ml-research #107Jan 2021Year Review Papers with Code, Machine Learning going Realtime, An eXplainability toolbox for ML, Simplifying Outlier Detection, Public Engineering Career Ladder + more 🚀explainability · forecasting · ml-research