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Statistics and Econometrics Unveiled - A Comprehensive Guide for Economists and Data Scientists
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Mathematics for Real Applications
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Machine Learning with R - Learn techniques for building and improving machine learning models from data preparation to model tuning evaluation and working with big data
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Python Data Cleaning Cookbook - Prepare your data for analysis with pandas NumPy Matplotlib scikit-learn and OpenAI
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Algorithmic Probability - Fundamentals and Applications
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Data-Driven Confidence
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Decision Analysis - Fundamentals and Applications
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Game Theory
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Intelligent Control - Fundamentals and Applications
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AI Quantitative Methods
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Artificial Neural Systems: Principle and Practice
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SPAM - Not Today
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Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
Parag Saxena
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Hyperparameter Tuning with Python - Boost your machine learning model's performance via hyperparameter tuning
Louis Owen
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The Statistics and Machine Learning with R Workshop - Unlock the power of efficient data science modeling with this hands-on guide
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Particle Filter - Exploring Particle Filters in Computer Vision
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