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Posts
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Issue 16: A story of distributions
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Designing data intensive applications (reading)
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Issue 14: Market yourself, ACID transactions in DeltaLake, OpenSource and Bayesian ABTests
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Contributing to open source is not what I thought it was
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Overview of Bayesian AB Tests
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Issue 13: Kubernetes and DevOps concepts
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Kubernetes - Be sure of being ready for real zero downtime deployment
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Issue 12: Bayesian AB Tests
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Issue 11: Machine Learning Design Patterns
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Issue 10: Challenges in Deploying Machine Learning
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Different ways to tackle the data labelling bottleneck in machine learning
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Issue 9: Code standardization, container orchestration, lakehouse, cats: concepts needed to productionalize machine learning models
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Machine Learning Design Patterns
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Your cat might be better than focus
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Issue 8: Code standardisation and MLOps seen by Databricks
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Issue 7: Recommendation systems and data engineering jobs
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How can you connect to MLFlow registry remotely?
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Issue 6: The past, present and, future of AI and ML
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Comparison of different tools to do unit tests for data
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Issue 5: Resources to get started with Kubernetes
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A banal machine learning system where interpretability and explainability matter
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Issue 4: Resources to get an overview of a machine learning project
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A bug in data science
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Issue 3: Feature store, weird chatbot, XGboost for Spark and Airflow in Amazon
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The hidden face of sexism
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Four mistakes I've done in my career
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Issue 2: Unit tests for data, Data + AI summit, etc
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Unit tests for data
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Alibi-detect for data drift detection
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Model drift or how the pandemic killed thousands of predictive systems
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Issue 1: Data versioning, tips for Pytest, freelancing, etc
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The art of being right in your job
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How to win friends and influence people: a disappointing reading
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Failure is not what you think it is
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DataOps and MLOps: what is the difference between these two concepts?
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Stay focus with Pomodoro
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Data drift monitoring: hypothesis tests or statistical distances?
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Doing web without JavaScript, HTML nor CSS for data science
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Different ways to do data versioning
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Do data scientists act crazy?
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Is meritocracy possible? Is meritocracy acceptable? Answers from the book 'The rise of the meritocracy'
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Getting started with MLeap and Scikit-Learn
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How do I test with Apache Spark?