Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance
Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance
Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine...
Java Program Design: Principles, Polymorphism, and Patterns
Java Program Design: Principles, Polymorphism, and Patterns
Get a grounding in polymorphism and other fundamental aspects of object-oriented program design and implementation, and learn a subset of design patterns that any practicing Java professional simply must know in today’s job climate. 

Java Program Design presents program design...
Applied Statistics: Theory and Problem Solutions with R
Applied Statistics: Theory and Problem Solutions with R

Instructs readers on how to use methods of statistics and experimental design with R software 

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds...

A Beginner's Guide to R (Use R!)
A Beginner's Guide to R (Use R!)

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum.

...
Data Analytics for Engineering and Construction  Project Risk Management (Risk, Systems and Decisions)
Data Analytics for Engineering and Construction Project Risk Management (Risk, Systems and Decisions)

This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve,...

Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions
Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions

In a global, highly competitive environment, organizations face increasing economic pressure and customer demands for more complex products and services. Hybrid algorithms have the potential to play an important role in helping organizations achieve cost reduction and increased product development.

Hybrid Algorithms...

Modern Database Management (11th Edition)
Modern Database Management (11th Edition)
This text is designed to be used with an introductory course in database management. Such a course is usually required as part of an information systems curriculum in business schools, computer technology programs, and applied computer science departments. The Association for Information Systems (AIS), the Association...
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs  in Statistics, Biostatistics, Engineering, Economics,...

Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Applied Econometrics with R (Use R!)
Applied Econometrics with R (Use R!)

Here is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of models, from classical linear regression models for cross-section to recent semiparametric extensions.

R is a language and environment for data analysis and
...
Learn Bitcoin and Blockchain: Understanding blockchain and Bitcoin architecture to build decentralized applications
Learn Bitcoin and Blockchain: Understanding blockchain and Bitcoin architecture to build decentralized applications

Get up and running with the fundamentals of Bitcoin and blockchain

Key Features

  • Learn quick, effective, and easy ways to master blockchain and Bitcoin
  • Understand the impact of decentralization and discover ways to tackle it
  • Explore the future of Bitcoin...
Learning JavaScript Data Structures and Algorithms: Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition
Learning JavaScript Data Structures and Algorithms: Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition

Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and use a heap data structure using JavaScript

Key Features

  • Implement common data structures and the associated algorithms along with the context in which...
Result Page: 182 181 180 179 178 177 176 175 174 173 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy