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#312Dec 2024The State of Responsible AI, Production LLM Usecase List, Google's 5-Day GenAI Course, DeepMind World Foundation AI, MSFT Quantifying Bad Days + more 🚀ai-ethics · llms · ml-education #240Jul 2023Principles for Responsible Gen AI, ML Feature Store at DeliveryHero, Generative AI Video Editing, Meta Public Release of Llama 2, Learn Self-Attention from Scratch + more 🚀ai-ethics · mlops · generative-ai #235Jun 2023Machine Learning Security at NeurIPS, Google's Secure AI Framework, AI Fairness Across Linkedin, META's AI Music Generation, How Google Manages Tech Debt + more 🚀ml-security · ai-ethics · generative-ai #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #105Dec 2020Navigating Resposible AI, The NLP Pytorch Tutorial, Research at Microsoft in 2020, Gentle Intro to Concept Drift, Uber on Data Workflows at Scale + more 🚀ai-ethics · nlp · data-engineering #104Dec 2020End-to-end Production ML Monitoring, Metadata Architectures Explained, Applied ML in Production, State of AI Ethics Panel, FOSDEM 2021 CFP HPC & ML + more 🚀mlops · ai-ethics · ai-policy #100Nov 2020Cross-vendor GPU Python ML, ML Metadata Management Tools, Practical Guide To Responsible AI, Navigating ML Deployment, Stanford MLSys Seminars + more 🚀mlops · ai-ethics · gpu-compute #98Nov 2020Andrew Ng on Production AI, Netflix's Distributed Tracing Infra, Importance of Data in MLOps, Image Outlier Detection in ML, The State of AI Ethics Report + more 🚀mlops · ai-ethics #96Oct 2020Android Apps with ML on GPU, The Canonical ML Stack, Modern Data Infra Architectures, FB Eng Lead discusses Fairness, AI Ethics - Whose Ethics? Event + more 🚀mlops · ai-ethics #95Oct 2020Real Time ML at Scale, Awful AI Listing Scary Usecases, Scientific Computing with Python, Deep Learning Models Repo, AI for Software Development + more 🚀mlops · ai-ethics · ml-education #94Oct 2020Distributed Training of ML Models, State of AI Report 2020, Embracing Logging in ML, A Brief History of ML Platforms, Whose Ethics? Eastern + Western + more 🚀mlops · gpu-compute · ai-ethics #93Sept 2020GPU Accelerated ML in GameDev, Modular vs E2E ML Platforms, Dagster Data Orchestration, ML for MedTech Monitoring, Whose Ethics? Eastern + Western + more 🚀mlops · gpu-compute · ai-ethics #91Sept 2020Machine learning in cross-vendor & mobile GPUs made simple, AI, Data & Ethics Research, Detecting Shifts in Policy with ML, AI Enabled Code Compilers, AI O'Reilly 2020 Trends to Watch + more 🚀gpu-compute · ai-ethics · nlp #90Sept 2020AI, Data & Ethics Research, AI Summarize Human Feedback, LipSync DeepFake AI Improved, Getting started with ML resource, AI Monitoring & Assurance + more 🚀ai-ethics · reinforcement-learning #89Aug 2020FastAI Practical Data Ethics, Building Conversational AI Apps, Computational Learning Intro, Topic Modelling with Gensim, Optical Character Recog for All + more 🚀ai-ethics · nlp #77Jun 2020Made with ML Platform, Identifying & Mitigating AI Risks, ACM ByteCast with Donald Knuth, Microsoft NLP Bias Research, Feature Selection with Cont. Data + more 🚀ai-policy · ai-ethics #75May 2020Microsoft Programming AI, ML Infra for Model Building, Discourse Rethinking Public Data, Advanced NLP Video Course, What to Do When AI Fails + more 🚀nlp · mlops · ai-ethics #72May 2020Monitoring ML Models in Prod, 65 Free Springer ML Books, Neural Network Music Generator, Open Source Deep Learning, AI, COVID19 & Contact Tracing + more 🚀ai-ethics #71Apr 2020A Practical Intro to Responsible AI, Simulating Real World in Python, Advanced NLP with SpaCy, 500 Free CompSci Courses, Modelling & Simulating Epidemics + more 🚀ai-ethics · nlp · ml-education #64Mar 2020Kubernetes ML for Everyone, Production-Ready ML Systems, Explaining Long Term ML Impact, Quantifying Reproducibility of ML, Adversarial Examples Resource + more 🚀mlops · ai-ethics · ml-security #63Mar 2020Building Blocks of Interpretability, Ethics in AI and Big Data Course, Reviewing Emotional Expressions, Model Explainability for Business, Microsoft's Data Science Process + more 🚀explainability · ai-ethics #62Feb 2020Jurgen's Retrospective AI 2010s, Hyperconnected Missinformation, MLOps: The End of End-to-End, How to Interpret an ML Model, Empirical Quality Metrics for DL + more 🚀ai-ethics · mlops · explainability #57Jan 2020Google Research 2019 + Beyond, Facebook OSS Year in Review, AI Lessons Learned with Rakuten, Move fast and break things w AI, Intro to Ethics in AI + more 🚀ai-ethics · ai-policy #56Jan 2020Evolution of ML Infrastructure, 30 Woman Advancing AI, Calculating the Value of Data, Intro to Ethics in AI, A Guide to File Formats in ML + more 🚀mlops · ai-ethics #46Nov 20196 lessons learned at Booking.com, EurNLP 2019 videos released, Consistency of AI Summarization, Linux Foundation Trusted AI, AI Ethics - Whose Ethics? + more 🚀ai-ethics #44Oct 2019Awesome AI Guidelines List, MLFlow simplifying model mgmt, Choosing intuitive visualisations, ML Explainability at AI O'Reilly, Machine learning in 6 steps + more 🚀ai-ethics · explainability #43Oct 2019IEML joins the Linux Foundation, Case studies with NumFocus, ML for business & ops intelligence, The open FairML Book, AI Ethics - whose ethics? + more 🚀ai-ethics · ai-policy #40Sept 2019Tricking ML Classifiers, ML deployment paradigm, Five must-know graph algorithms, Survey fairness and bias in ML, Google's OSS differential privacy + more 🚀ml-security · mlops · ai-ethics #39Sept 2019Management for Data Science, Selection vs Detection of outliers, Rules for sharing notebooks, AutoML and AI at Google, 5 sampling algos for everyone + more 🚀forecasting · ml-research · ai-ethics #33Aug 2019Brooklin for data streaming, Tensorflow AI Interpretability, LIDAR and its smart applications, All hail the (AI) algorithm, Machines (and AI) Gone Wrong + more 🚀data-engineering · explainability · ai-ethics #18Apr 2019Reducing Bias in Bios, Data Augmentation for Images, Common statistical tests, AutoML with code generation, Strata Data San Fran Highlights, Stackoverflow Developer Survey + more 🚀ai-ethics · ml-research #15Mar 2019AI debiasing doesn't debias bias, The NLP of human noises, Feature visualisation via activation, The GAN stroke of genious, Essential NLP Tools, Code & Tips, AI comedy generated by humans + more 🚀ai-ethics · explainability · nlp #10Feb 2019Delayed impact of FAIR ML, Getting started with Google Collab, Data Science Salaries in Europe, Building tensorflow from scratch, Better language models, AI where? In the blockchain 💰 + more 🚀ai-ethics · ml-education