Python Crash Course: A Hands-On, Project-Based Introduction to Programming
Python Crash Course
is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.
In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing...
Linear Algebra and Probability for Computer Science Applications
Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...
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