In this astonishing book, author Lee Baker uncovers how politicians, the press, corporations and other statistical conmen use graphs and charts to deceive their unwitting audience.Written as a layman’s guide to lying, cheating and deceiving with graphs, there’s not a dull page in sight!Discover the exciting world of graphical lies.
In this eye-opening book, author Lee Baker uncovers the key tricks used by statistical hustlers to deceive, hoodwink and dupe the unwary.Written as a layman’s guide to lying, cheating and deceiving with data and statistics, there’s not a dull page in sight!Discover the exciting world of statistical cheating and persuasive misdirection.
In this dissertation, we present hypothesis-based collaborative filtering (HCF) to expose individuals to products which best fits their preferences. HCF retrieves like-minded individuals based on the similarity of their hypothesized preferences by means of machine learning algorithms hypothesizing individuals’ preferences.
This book equip reader with data and text mining fundamental using DSTK 3. There are examples and explanatiosn are straight to the point. You will be walked through data mining process using DSTK 3.
The book provides a modern look at introductory Biostatistical concepts and the associated computational tools using the latest developments in computation and visualization in the R language environment. The book includes practical data analysis based on datasets that can be downloaded here: https://github.com/muschellij2/biostatmethods.
Learn to build a machine learning pipeline that analyzes and automates cryptocurrency trading in real-time.
The complete guide to learning everything you need to know about Apache Ignite
This book teaches you how to make machine learning models more interpretable.
Containing nearly 200 programming challenges developed as part of the Reddit DailyProgrammer forum, this useful instrument will help you learn programming from the basics, or help you to learn a new language. Challenges are broken into three difficulty ranges, easy, medium, and hard, and can be accessed from a variety of languages.
This book powers our MicroMasters program on edX and specialization on Coursera, one of the ten most popular computer science courses on Coursera. Over half a million students have tried to solve many programming challenges and algorithmic puzzles described in this book. We invite you to join them! See the webpage of the book for more details.
Manual básico de uso da linguagem estatística R no RStudio.
Este libro es para ti si quieres aprender a programar en R.Este libro es para ti si quieres analizar datos con R.Usa el mismo material desarrollado como parte del curso en Ciencia de Datos con R de la plataforma Udemy.
Available as PDF+Code Files or on Amazon, Bio/Recursion explores computer science and bioinformatics via examples in the R programming language. Along the way, over 100 color illustrations, 150 code blocks, and dozens of exercises illuminate the text.
Can you build a script to count the number of sequences in a Big data consisting hundred thousands of nucleotide sequences in 30 seconds? You may wonder to know, this wouldn't take more a than a few words in Bash "grep -c "^>" data.fa" ! This book will help you to become an expert in bash and learn to explore real-world large data sets.