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Electronic Devices (Conventional Current Version) (9th Edition)
Electronic Devices (Conventional Current Version) (9th Edition)

Electronic Devices (CONVENTIONAL CURRENT VERSION) , Ninth Edition, provides a solid foundation in basic analog electronics and a thorough introduction to analog integrated circuits and programmable devices. The text identifies the circuits and components within a system, helping...

Clinical Facial Analysis: Elements, Principles, and Techniques
Clinical Facial Analysis: Elements, Principles, and Techniques

Introduction – Facial Analysis: What, Why, When, and How What is Clinical Facial Analysis 2 How Do You Train and Develop the Skill for Clinical Facial Analysis 2 The Spiral of Analysis 2 Searching for a Flexible Method of Clinical Facial Analysis 3 Do Not Apply a Method of Analysis in a Linear Way 3 The Four Main Components Involved in...

Designing Data Visualizations: Representing Informational Relationships
Designing Data Visualizations: Representing Informational Relationships

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information...

Advances in the Homotopy Analysis Method
Advances in the Homotopy Analysis Method

Unlike other analytic techniques, the Homotopy Analysis Method (HAM) is independent of small/large physical parameters. Besides, it provides great freedom to choose equation type and solution expression of related linear high-order approximation equations. The HAM provides a simple way to guarantee the convergence of solution series. Such...

Optimization, Control, and Applications of Stochastic Systems: In Honor of Onésimo Hernández-Lerma (Systems & Control: Foundations & Applications)
Optimization, Control, and Applications of Stochastic Systems: In Honor of Onésimo Hernández-Lerma (Systems & Control: Foundations & Applications)

This volume provides a general overview of discrete- and continuous-time Markov control processes and stochastic games, along with a look at the range of applications of stochastic control and some of its recent theoretical developments. These topics include various aspects of dynamic programming, approximation...

Good Math: A Geek's Guide to the Beauty of Numbers, Logic, and Computation (Pragmatic Programmers)
Good Math: A Geek's Guide to the Beauty of Numbers, Logic, and Computation (Pragmatic Programmers)

Mathematics is beautiful--and it can be fun and exciting as well as practical. Good Math is your guide to some of the most intriguing topics from two thousand years of mathematics: from Egyptian fractions to Turing machines; from the real meaning of numbers to proof trees, group symmetry, and mechanical computation. If you've ever...

Learning Cassandra for Administrators
Learning Cassandra for Administrators

Understand the immense capabilities of Cassandra in managing large amounts of data and learn how to ensure that data is always available. This practical, hands-on guide takes you through every stage from installation to performance tuning.

Overview

  • Install and set up a multi datacenter Cassandra
  • ...
Control Theory for Engineers: A Primer (Environmental Science and Engineering / Environmental Engine)
Control Theory for Engineers: A Primer (Environmental Science and Engineering / Environmental Engine)

Control Theory is at the heart of information and communication technologies of complex systems. It can contribute to meeting the energy and environmental challenges we are facing.

The textbook is organized in the way an engineer classically proceeds to solve a control problem, that is, elaboration of a mathematical model capturing...

Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems
Excel 2010 for Educational and Psychological Statistics: A Guide to Solving Practical Problems

Excel has become an important and nearly ubiquitous classroom and office resource for students and practitioners who are faced with solving statistical problems on an everyday basis. Despite this, there has yet to emerge a truly practical, “how-do-I-do-it” manual that teaches the various applications and...

Mastering Julia
Mastering Julia

Key Features

  • Build statistical models with linear regression and analysis of variance (ANOVA)
  • Create your own modules and contribute to the Julia package system
  • Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization

...

Machine Learning with R - Second Edition
Machine Learning with R - Second Edition

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as...

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