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101 Data Science Drawings Say goodbye to passive PowerPoint slides and hello to colorful, hand-drawn examples. 101 Data Science Drawings brings data science to life—one marker at a time. This book features 101 one-page visual examples, each hand-drawn with colorful markers to break down complex topics in an brief, colorful way. Perfect for university students cramming for finals or seasoned data scientists brushing up for interviews, this book turns review time into active learning. Every page is designed to help you recall key ideas quickly, from the fundamentals to more advanced topics. Inside you’ll find sketches on: Supervised Learning: regression, decision trees, random forests, cross-validation... Unsupervised Learning: clustering, dimensionality reduction, topic modeling... Statistics & Econometrics: hypothesis testing, causal inference... SQL: joins, aggregations, window functions... And much more...
Colorful One-Pagers to Refresh Your Data Science Knowledge
Who this book is for: People who previously learned statistics, machine learning, econometrics, SQL, and want to refresh with colorful one-pagers (think flash cards!). This book is intentionally informal, colorful and raw. You’ll find scribbles, corrections, obscure handwriting that will make you learn more actively.
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