Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python: Machine Learning & Data Scienc
Autor Ai Publishingen Limba Engleză Paperback – 10 noi 2020
How Is This Book Different? AI Publishing is completely sold on the learning by doing methodology. We have gone to great lengths to ensure you find learning statistics easy. The result: you will not get stuck along your learning journey. This is not a book full of complex mathematical concepts and difficult equations. You will find that the coverage of the theoretical aspects of statistics is proportionate to the practical aspects of the subject. The book makes the reading process easier by presenting you with three types of box-tags in different colors. They are: Requirements, Further Readings, and Hands-on Time. The final chapter presents two mini-projects to give you a better understanding of the concepts you studied in the previous eight chapters. The main feature is you get instant access to a treasure trove of all the related learning material when you buy this book. They include PDFs, Python codes, exercises, and references--on the publisher's website. You get access to all this learning material at no extra cost. You can also download the Machine Learning datasets used in this book at runtime. Alternatively, you can access them through the Resources/Datasets folder. The quick course on Python programming in the first chapter will be immensely helpful, especially if you are new to Python. Since you can access all the Python codes and datasets, a computer with the internet is sufficient to get started.
The topics covered include:
- A Quick Introduction to Python for Statistics
- Starting with Probability
- Random Variables and Probability Distributions
- Descriptive Statistics: Measure of Central Tendency and Spread
- Exploratory Analysis: Data Visualization
- Statistical Inference
- Frequentist Inference
- Bayesian Inference
- Hands-on Projects
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Specificații
ISBN-13: 9781734790160
ISBN-10: 1734790164
Pagini: 332
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.45 kg
Editura: Steven Key Meyers/The Smash-and-Grab Press
Colecția Machine Learning & Data Scienc
Seria Machine Learning & Data Scienc
ISBN-10: 1734790164
Pagini: 332
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.45 kg
Editura: Steven Key Meyers/The Smash-and-Grab Press
Colecția Machine Learning & Data Scienc
Seria Machine Learning & Data Scienc