Tagtech-ml-coding-stats
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- Game programming in Haskell von Elise Huard (1 mal)
- Coding Democracy: How Hackers Are Disrupting Power, Surveillance, and Authoritarianism (The MIT Press) von Maureen Webb (1 mal)
- Mathematics for Machine Learning von Marc Peter Deisenroth (1 mal)
- Hands-On Machine Learning with Scikit-Learn and TensorFlow von Aurélien Géron (1 mal)
- The Hundred-Page Machine Learning Book von Andriy Burkov (1 mal)
- Haskell Programming From First Principles von Julie Moronuki (1 mal)
- Machine Learning: A Hands-On, Project-Based Introduction to Machine Learning for Absolute Beginners: Mastering Engineering ML Systems using Scikit-Learn and TensorFlow von Gabriel Rhys (1 mal)
- The Perfectionists: How Precision Engineers Created the Modern World von Simon Winchester (1 mal)
- Learning TensorFlow: A Guide to Building Deep Learning Systems von Tom Hope (1 mal)
- TensorFlow Machine Learning Cookbook von Nick McClure (1 mal)
- Deep Learning with Python von François Chollet (1 mal)
- Python Data Science Essentials von Alberto Boschetti (1 mal)
- Deep Learning von Aaron Courville (1 mal)
- The Hitchhiker's Guide to Python: Best Practices for Development von Kenneth Reitz (1 mal)
- Mathematical Decision Making: Predictive Models and Optimization von Scott P. Stevens (1 mal)
- Statistical Rethinking: A Bayesian Course with Examples in R and Stan von Richard McElreath (1 mal)
- Data Science from Scratch: First Principles with Python von Joel Grus (1 mal)
- Machine Learning with R von Brett Lantz (1 mal)
- An Introduction to Statistical Learning: with Applications in R von Gareth James (1 mal)
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython von Wes McKinney (1 mal)
- Who's #1?: The Science of Rating and Ranking von Amy N. Langville (1 mal)
- Think Complexity: Complexity Science and Computational Modeling von Allen B. Downey (1 mal)
- The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results von Paul D. Ellis (1 mal)
- Learn You a Haskell for Great Good! A Beginner's Guide von Miran Lipovača (1 mal)
- Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions von Michael Milton (1 mal)
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