Mathematics Probability & Statistics (5000)
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Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science
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Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python
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Practical Machine Learning with Rust: Creating Intelligent Applications in Rust
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Artificial Intelligence Basics: A Non-Technical Introduction
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Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
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Python for Data Mining Quick Syntax Reference
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Pro DevOps with Google Cloud Platform: With Docker, Jenkins, and Kubernetes
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Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
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Data Science Fundamentals for Python and MongoDB
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Practical Web Scraping for Data Science: Best Practices and Examples with Python
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Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
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Assessing and Improving Prediction and Classification: Theory and Algorithms in C++
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Introduction to Social Media Marketing: A Guide for Absolute Beginners
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Introduction to Search Engine Optimization: A Guide for Absolute Beginners
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Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R
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Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics
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R Recipes: A Problem-Solution Approach
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Applied Probability and Stochastic Processes
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Hidden Markov Models for Time Series: An Introduction Using R, Second Edition
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Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB®
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