Learn IT - Books tags self

C in Depth

BPB Publications, 2019

In the third edition of the book C in depth , the authors explain the basics of the programming language while maintaining the integrity and clarity of the programs. The book can be utilized by both beginners and advanced level programmers as a self-evaluation and learning source. There are more than 310 programs with explanations to illustrate...

Matlab® for Engineers Explained

Springer, 2012

Based on the new 'guided-tour' concept that eliminates the start-up transient encountered in learning new programming languages, this beginner's introduction to MATLAB teaches a sufficient subset of the functionality and gives the reader practical experience on how to find more information. Recent developments in MATLAB to advance...

The Nature of Code: Simulating Natural Systems with Processing

The Nature of Code, 2012

How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary...

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)

Springer, 2013

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical...

Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project

Apress, 2019

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.

The ability to analyze massive amounts of real-time data and predict...

Data Science Fundamentals for Python and MongoDB

Apress, 2018

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....

Linear Control System Analysis and Design with MATLAB® (Automation and Control Engineering)

CRC Press, 2013

Thoroughly classroom-tested and proven to be a valuable self-study companion, Linear Control System Analysis and Design: Sixth Edition provides an intensive overview of modern control theory and conventional control system design using in-depth explanations, diagrams, calculations, and tables.

Keeping mathematics...

Algorithms in Real Algebraic Geometry (Algorithms and Computation in Mathematics, Vol. 10)

Springer, 2006

This is the first graduate textbook on the algorithmic aspects of real algebraic geometry. The main ideas and techniques presented form a coherent and rich body of knowledge. Mathematicians will find relevant information about the algorithmic aspects. Researchers in computer science and engineering will find the required mathematical...

JavaScript: A Beginner's Guide, Fourth Edition

McGraw-Hill, 2013

Fully updated for the latest JavaScript standard and featuring a new chapter on HTML5 and jQuery

JavaScript: A Beginner's Guide shows how to create dynamic Web pages complete with special effects using today's leading Web development language. With the growth of HTML 5, JavaScript is expected to grow...

Learn Data Analysis with Python: Lessons in Coding

Apress, 2018

Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize...

Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

Apress, 2019

Are algorithms friend or foe?

The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we...

Solutions Manual to accompany Nonlinear Programming: Theory and Algorithms

John Wiley & Sons, 2013

As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition. This book presents recent developments of key topics in nonlinear programming (NLP) using a logical and self-contained format. The volume is divided into three sections: convex analysis,...

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