Books about Statistical

 

35 books

Nonfiction
Julia 1.0 By Example
Adrian Salceanu
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Probability: The Ultimate Beginner's Guide to Permutations & Combinations
Arthur Taff
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Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Deepti Gupta
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MATLAB Recipes: A Problem-Solution Approach
Michael Paluszek
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham
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Applied Machine Learning skills made easy with MATLAB : The based knowledge for Predictive Maintenance
Xuan Thuong Cao
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Quantifiably Better: Delivering Human Resource (HR) Analytics from Start to Finish
Steve VanWieren
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Statistical Analysis with Excel For Dummies
Joseph Schmuller
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Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering Book 15)
Svein Linge
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An Introduction to Bayesian Scientific Computing: Ten Lectures on Subjective Computing: 2 (Surveys and Tutorials in the Applied Mathematical Sciences)
Daniela Calvetti
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Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 (Texts in Computational Science and Engineering Book 15)
Svein Linge
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MatLab: Basic to Advanced
Sikander Sultan
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Analyzing Qualitative Data with MAXQDA: Text, Audio, and Video
Udo Kuckartz
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Data Analysis In Qualitative research
Asher Shkedi
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Markov Models: Understanding Markov Models and Unsupervised Machine Learning in Python with Real-World Applications
Robert Tier
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Getting Started with Julia
Ivo Balbaert
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SAS for Forecasting Time Series, Third Edition
Ph.D., John C. Brocklebank
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Practical and Efficient SAS Programming: The Insider's Guide
Martha Messineo
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SAS Interview Questions You'll Most Likely Be Asked (Job Interview Questions Series Book 28)
Vibrant Publishers
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Ancient and Modern Celebrated Freethinkers
Charles Bradlaugh
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