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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...

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...

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
  • ...
A Modern Approach to Regression with R (Springer Texts in Statistics)
A Modern Approach to Regression with R (Springer Texts in Statistics)

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We...

Job Reconnaissance: Using Hacking Skills to Win the Job Hunt Game
Job Reconnaissance: Using Hacking Skills to Win the Job Hunt Game

There is considerably more skill in the IT and security communities than is reflected in the jobs people are able to attain. Most people's limiting factor in their ability to get better jobs is not technical skills or even the soft skills necessary to do well in a new job. It is that getting a job is a completely different skill set and...

Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)

This book discusses the computational approach in modern statistical physics in a clear and accessible way and demonstrates its close relation to other approaches in theoretical physics. Individual chapters focus on subjects as diverse as the hard sphere liquid, classical spin models, single quantum particles and Bose-Einstein condensation....

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...

Business Intelligence: Data Mining and Optimization for Decision Making
Business Intelligence: Data Mining and Optimization for Decision Making

Business intelligence is a broad category of applications andtechnologies for gathering, providing access to, and analyzing datafor the purpose of helping enterprise users make better businessdecisions. The term implies having a comprehensive knowledge of allfactors that affect a business, such as customers, competitors,business partners,...

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...

Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)
Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the...

Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python
Learning Predictive Analytics with Python: Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

About This Book

  • A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
  • Get to grips with the basics of Predictive...
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

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