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Data Mining in Agriculture (Springer Optimization and Its Applications)
Data Mining in Agriculture (Springer Optimization and Its Applications)

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining...

Structure and Interpretation of Computer Programs, Second Edition
Structure and Interpretation of Computer Programs, Second Edition

With an analytical and rigorous approach to problem solving and programming techniques, this book is oriented toward engineering. Structure and Interpretation of Computer Programs emphasizes the central role played by different approaches to dealing with time in computational models. Its unique approach makes it appropriate for an...

Black & Decker The Book of Home Improvement: The Most Popular Remodeling Projects Shown in Full Detail
Black & Decker The Book of Home Improvement: The Most Popular Remodeling Projects Shown in Full Detail
This comprehensive guide to home improvement includes the top 100 home improvement projects, all in full, step-by-step instruction, and all from the trusted experts at BLACK+DECKER.

Boasting 560 pages of hardworking, how-to instructions and photos, this is quite possibly the only home remodeling you, or any
...
Database Processing: Fundamentals, Design, and Implementation (13th Edition)
Database Processing: Fundamentals, Design, and Implementation (13th Edition)

Get students straight to the point of database processing. Database Processing reflects a new teaching method that gets students straight to the point with its thorough and modern presentation of database processing fundamentals.
 

The thirteenth edition has been...

Mastering Financial Mathematics in Microsoft Excel: A Practical Guide for Business Calculations (2nd Edition) (Financial Times)
Mastering Financial Mathematics in Microsoft Excel: A Practical Guide for Business Calculations (2nd Edition) (Financial Times)

A practical guide for business calculations

Mastering Financial Mathematics in Microsoft © Excel provides a comprehensive set of tools, methods and formulas which apply Excel to solving mathematical problems.

The book:

  • Explains basic calculations for mathematical finance
  • ...
Virtualization For Dummies
Virtualization For Dummies

Virtualization has become a “megatrend”—and forgood reason. Implementing virtualization allows for more efficientutilization of network server capacity, simpler storageadministration, reduced energy costs, and better use of corporatecapital. In other words: virtualization helps you save money,energy, and space. Not bad,...

Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions
Blockchain: A Practical Guide to Developing Business, Law, and Technology Solutions
Develop, validate, and deploy powerful decentralized applications using blockchain 


Get the most out of cutting-edge blockchain technology using the hands-on information contained in this comprehensive resource. Written by a team of technology and legal experts, Blockchain:...
Cracking Codes with Python: An Introduction to Building and Breaking Ciphers
Cracking Codes with Python: An Introduction to Building and Breaking Ciphers

Learn how to program in Python while making and breaking ciphers—algorithms used to create and send secret messages! 

After a crash course in Python programming basics, you’ll learn to make, test, and hack programs that encrypt text with classical ciphers like the transposition cipher and Vigenère
...

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Python: Data Analytics and Visualization
Python: Data Analytics and Visualization

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for...

Machine Learning and Security: Protecting Systems with Data and Algorithms
Machine Learning and Security: Protecting Systems with Data and Algorithms

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security...

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

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