Learn IT - Books tags numeric

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

O'Reilly, 2018

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...

Machine Learning in Action

Manning Publications, 2012

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

Practical PowerPivot & DAX Formulas for Excel 2010

McGraw-Hill, 2010

PowerPivot: What a name! Or I should really say what’s in a name? Powerful Pivoting? Pivot-table for power users?

PowerPivot is a lot more than that. When I started the PowerPivot project back in 2007, along with Amir Netz (Microsoft BI Distinguished Engineer), the incubation project was called BI Sandbox. We had been looking...

Game Programming Algorithms and Techniques: A Platform-Agnostic Approach (Game Design/Usability)

Addison Wesley, 2013

Game Programming Algorithms and Techniques is a detailed overview of many of the important algorithms and techniques used in video game programming today. Designed for programmers who are familiar with object-oriented programming and basic data structures, this book focuses on practical concepts that see actual use in the...

MATLAB Matrix Algebra (Matlab Solutions)

Apress, 2014

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Unknown Quantity: A Real and Imaginary History of Algebra

Joseph Henry Press, 2006

Prime Obsession taught us not to be afraid to put the math in a math book. Unknown Quantity heeds the lesson well. So grab your graphing calculators, slip out the slide rules, and buckle up! John Derbyshire is introducing us to algebra through the ages—and it promises to be just what his die-hard fans have been waiting...

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)

John Wiley & Sons, 2015

Supercharge options analytics and hedging using the power ofPython

Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique...

Making PIC Microcontroller Instruments and Controllers

McGraw-Hill, 2008

Essential Design Techniques From the Workbench of a Pro

Harness the power of the PIC microcontroller unit with practical, common-sense instruction from an engineering expert. Through eight real-world projects, clear illustrations, and detailed schematics, Making PIC Microcontroller Instruments and Controllers...

Records Management

Cengage Learning, 2010

RECORDS MANAGEMENT, 9e is a comprehensive introduction to the complex field of records management. Alphabetic filing rules are included, along with methods of storing and retrieving alphabetic, subject, numeric, and geographic records. Thorough coverage is provided for filing and maintenance of paper, automated, micro image, and electronic...

Robot Brains: Circuits and Systems for Conscious Machines

John Wiley & Sons, 2007

Haikonen envisions autonomous robots that perceive and understand the world directly, acting in it in a natural human-like way without the need of programs and numerical representation of information. By developing higher-level cognitive functions through the power of artificial associative neuron architectures, the author approaches the issues of...

Itanium Architecture for Programmers: Understanding 64-Bit Processors and EPIC Principles

Prentice Hall, 2003

Step-by-step guide to assembly language for the 64-bit Itanium processors, with extensive examples

Details of Explicitly Parallel Instruction Computing (EPIC): Instruction set, addressing, register stack engine, predication, I/O, procedure calls, floating-point operations, and more

Learn how to comprehend...

Knowledge-Based Neurocomputing

MIT Press, 2000

Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based...

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