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#1
Numerical Methods: Nonlinear Equations, Numerical Calculus, & Differential Equations
D. James Benton
4.5 out of 5 stars
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16
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Monte Carlo Simulation: The Art of Random Process Characterization
D. James Benton
4.3 out of 5 stars
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157
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Google analytics for beginners : Google analytics 101
Souessb Essad
5.0 out of 5 stars
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1
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Master Azure Databricks Step By Step
Bryan Cafferky
4.1 out of 5 stars
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13
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Programming with R for AI and Data Science: A Comprehensive Guide for Modern R Programmers in AI and Data Science
Manuel Whitaker
4.5 out of 5 stars
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2
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Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume I: Fundamentals
Daniel Voigt Godoy
4.6 out of 5 stars
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95
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Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)
Richard McElreath
4.8 out of 5 stars
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370
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Basic Mathematical Foundations of AI: Hands on with Python (Mastering Machine Learning)
Jamie Flux
4.8 out of 5 stars
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6
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Super Simple Julia: Beginner to Pro: The Comprehensive Guide to Data Science and Computing
James Hunter
4.0 out of 5 stars
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1
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#10
A Practical Guide to Logistic Regression Using Stata
Alan C. Acock
Kindle Edition
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Python Machine Learning By Example: Unlock machine learning best practices with real-world use cases
Yuxi (Hayden) Liu
4.8 out of 5 stars
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57
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Google Sheets Crash Course: Learn the parts of Google Sheets you鈥檒l actually use (Office Software)
Dr. Andy Williams
4.0 out of 5 stars
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1
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The Future of Accounting
Dave McComb
5.0 out of 5 stars
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2
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Peter Bruce
4.5 out of 5 stars
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1,210
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TI-84 Plus Tutorials: The TI-84 Plus for Beginners: Get Started with the TI-84 Plus Graphing Calculator
Lucas Allen
4.4 out of 5 stars
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Data Science and Engineering 鈥 Volume 3 Advanced Learning, Deployment and Deep Learning: with exercises in Orange, Python and Keras/Tensorflow (Data Science and Engineering - A learning path)
Mario Capurso
5.0 out of 5 stars
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Deep Learning with TensorFlow and Keras: From Fundamentals to Advanced Architectures: Master Neural Networks, CNNs, RNNs, GANs & Transfer Learning with ... Intelligence & Machine Learning)
Anshuman Mishra
5.0 out of 5 stars
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4
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Applying Math with Python: Over 70 practical recipes for solving real-world computational math problems, 2nd Edition
Sam Morley
5.0 out of 5 stars
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6
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LEAN PROGRAMMING FOR FORMAL SOFTWARE VERIFICATION: Mathematical proof systems and logical frameworks for verified computation
James Milner
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Basic Math for AI: A Beginner鈥檚 Quickstart Guide to the Mathematical Foundations of Artificial Intelligence (AI Fundamentals)
Andrew Hinton
4.3 out of 5 stars
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44
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The Model Thinker: What You Need to Know to Make Data Work for You
Scott E. Page
4.5 out of 5 stars
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555
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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Robert Johansson
4.7 out of 5 stars
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18
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham
4.7 out of 5 stars
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197
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Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems
Hala Nelson
4.4 out of 5 stars
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Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards
Alex Kolokolov
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Ultimate Step by Step Guide to ChatGPT Using Python: 90 Day Plan to Make Passive Income with Generative AI (Ultimate Step by Step Guide to Machine Learning Book 4)
Daneyal Anis
2.9 out of 5 stars
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9
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Apple Numbers User Guide for Beginners and Seniors: Step-by-Step Instructions to Master Tables, Data, Formulas, and Calculations (Apple Software User Guide)
Techsavvy Press
2.9 out of 5 stars
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4
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Apple iWork User Guide for Beginners and Seniors: Step-by-Step Instructions for Organizing Work Across Numbers, Pages, and Keynote (Apple Software User Guide)
Techsavvy Press
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Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Eric A. Eager
4.5 out of 5 stars
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55
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SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Cathy Tanimura
4.7 out of 5 stars
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Bayesian Analysis with Python: A practical guide to probabilistic modeling
Osvaldo Martin
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31
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R Programming: 3 books in 1 : R Basics for Beginners + R Data Analysis and Statistics + R Data Visualization
Andy Vickler
3.4 out of 5 stars
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6
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The Book of R: A First Course in Programming and Statistics
Tilman M. Davies
4.6 out of 5 stars
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#34
Data Visualization: A Practical Introduction
Kieran Healy
4.7 out of 5 stars
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216
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Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visualization (Treading on Python Book 12)
Matt Harrison
4.4 out of 5 stars
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114
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#36
Statistical Analysis with Python For Dummies
Joseph Schmuller
5.0 out of 5 stars
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#37
The Little SAS Book: A Primer, Sixth Edition
Lora D. Delwiche
4.6 out of 5 stars
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355
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#38
Statistical Analysis with R For Dummies
Joseph Schmuller
5.0 out of 5 stars
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4
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#39
Hands-On Programming with R: Write Your Own Functions and Simulations
Garrett Grolemund
4.5 out of 5 stars
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365
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#40
Create and Export Tables Using Stata
Michael N. Mitchell
4.8 out of 5 stars
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6
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#41
Symbolic Computation with Python and SymPy - Volume 1: Expression Manipulation
Davide Sandon脿
4.5 out of 5 stars
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27
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#42
Think Bayes: Bayesian Statistics in Python
Allen B. Downey
4.6 out of 5 stars
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100
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#43
Graphs Everyone Should Know and How to Create Them in Stata
Franz Buscha
4.6 out of 5 stars
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3
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#44
Learning Spark: Lightning-Fast Data Analytics
Jules S. Damji
4.7 out of 5 stars
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323
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Quick Guide to IBM庐 SPSS庐: Statistical Analysis With Step-by-Step Examples
Alan C. Elliott
4.2 out of 5 stars
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34
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Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines
Chris Fregly
4.5 out of 5 stars
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245
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#47
Les tableaux crois茅s dynamiques avec Excel: Pour aller plus loin dans votre utilisation d'Excel (French Edition)
R茅my Lentzner
5.0 out of 5 stars
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2
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#48
Excel: The Absolute Beginner's Guide to Maximizing Your Excel Experience for Maximum Productivity and Efficiency With all Formulas & Functions and Practical Examples
Henry Skinner
4.3 out of 5 stars
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887
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#49
MATLAB Fundamentals for Engineers
Maxwell Vector
5.0 out of 5 stars
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2
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3 formats available
#50
Tidy Modeling with R: A Framework for Modeling in the Tidyverse
Max Kuhn
4.7 out of 5 stars
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68
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1 offer from
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2 formats available
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