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MLOps: Building Machine Learning Systems
The importance of thinking larger when designing effective and ethical machine learning systems
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Machine Learning Systems Pt. 3: Modeling Pipelines with TensorFlow Extended
Where to go after your Modeling POC is done
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What’s Next for Expert Data Scientists?
A proposal of where to take your skills when you’ve reached the intermediate/advanced stage
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10 Awesome Resources for Learning MLOps
Free, high-signal areas to get quality content for MLOps
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Graph Machine Learning with Python Part 4: Supervised & Semi-Supervised Learning
Classifying and Predicting Paintings in the Metropolitan Museum of Art
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Our Next Enlightenment will be AI-Driven
A realistic and symbiotic future between humans and AI
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Machine Learning Systems Pt. 2: Data Pipelines with TensorFlow Extended
Building all the data pipeline components for production ML with TFX
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Machine Learning Systems Pt. 1: Overview and Challenges
A gentle introduction to MLOps
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Zero Coding to Senior Data Scientist in 4 Years
My journey so far in finding a purpose in my craft
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AutoML and the Future of Data Science
How AutoML is going to evolve the Applied Machine Learning landscape
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Invisible Skills That Distinguish Expert Data Scientists
Mental models and personality frameworks that create highly efficient and effective data scientists
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5 Data Science Trends in the Next 5 Years
An evaluation from what I’m seeing across industries and disciplines
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Graph Machine Learning with Python Part 3: Unsupervised Learning
Clustering and Embedding Paintings in the Metropolitan Museum of Art
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Network Analysis of NBA Playoffs via Flow Dynamics
Analyzing performance and strategy through how NBA players move the ball in a game
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You’re Likely Learning Data Science Wrong, Here’s How to Learn Instead
Breaking apart commonly held fallacies to design a new set of principles
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Graph Machine Learning with Python Part 2: Random Graphs and Diffusion Models of CryptoPunks Trading
Simulating and modeling the CryptoPunks trading data via a graph
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Graph Machine Learning with Python Part 1: Basics, Metrics, and Algorithms
A introduction to networks via key metrics and algorithms on a Football dataset
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Applied Bayesian Inference with PyMC3 and Bambi Part 3
Predicting the streams of Spotify’s Top 200 songs
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Computer Vision with Tensorflow
A comprehensive guide into how we program machines to learn from images
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Introduction to Artificial Intelligence, Machine Learning, and Deep Learning with Tensorflow
A starting point into Machine Learning and Tensorflow
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Data Science for Global Wildlife Trafficking
A broad and deep analysis of illicit wildlife trafficking imports into the United States
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Thinking Like a Chef Will Make You a Better Data Scientist
A case to be an artist before and after anything else
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Applied Bayesian Inference with Python Part 2
Modeling Adidas’s Yeezy & Nike’s Off-White Resales on StockX
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Why You Should Be a Data Scientist in Your Spare Time
The best hobby to have
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Applied Bayesian Inference with Python Part 1
An Introduction to the Conditional World
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Journeying into Data Science
A low-cost & high-quality guide to begin your own journey
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Going from MLOps Level 0 to Level 1
Evolving past local Jupyter Notebooks to Autonomous Systems
