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Amazing Books
Programming Ruby 1.9 & 2.0: The Pragmatic Programmers' Guide (The Facets of Ruby)
Programming Ruby 1.9 & 2.0: The Pragmatic Programmers' Guide (The Facets of Ruby)

Ruby is the fastest growing and most exciting dynamic language out there. If you need to get working programs delivered fast, you should add Ruby to your toolbox.

This book is the only complete reference for both Ruby 1.9 and Ruby 2.0, the very latest version of Ruby.

2013 marks the 20th...

Circuit Analysis I: With MATLAB Applications
Circuit Analysis I: With MATLAB Applications
This text is an introduction to the basic principles of electrical engineering. It is the outgrowth of lecture notes prepared by this author while teaching for the electrical engineering and computer engineering departments at San José State University, DeAnza college, and the College of San Mateo,...
The Mathematica GuideBook for Programming
The Mathematica GuideBook for Programming

This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge of the key aspects needed to create the fastest, shortest, and most elegant implementations possible. It gives users a deeper understanding of Mathematica by instructive implementations, explanations, and...

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and...

Data Mining and Statistics for Decision Making
Data Mining and Statistics for Decision Making
Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...
Multivariate Time Series Analysis: With R and Financial Applications
Multivariate Time Series Analysis: With R and Financial Applications

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...

Penetration Testing Basics: A Quick-Start Guide to Breaking into Systems
Penetration Testing Basics: A Quick-Start Guide to Breaking into Systems
Learn how to break systems, networks, and software in order to determine where the bad guys might get in. Once the holes have been determined, this short book discusses how they can be fixed. Until they have been located, they are exposures to your organization. By reading Penetration Testing Basics, you'll...
Hacking: THE BLUEPRINT A Beginners Guide To Ethical Computer Hacking (CyberPunk Blueprint Series)
Hacking: THE BLUEPRINT A Beginners Guide To Ethical Computer Hacking (CyberPunk Blueprint Series)
Ever wonder how easy it is to hack into someone’s bank account info while surfing the net at your local Starbucks? Learning how to hack is one of the best preventative measures you can take when protecting yourself from other hackers. Hacking is often misunderstood and that is for good reason. Many people use hacking as...
Python Data Science Handbook: Essential Tools for Working with Data
Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,...

SQL Server 2017 Integration Services Cookbook: Powerful ETL techniques to load and transform data from almost any source
SQL Server 2017 Integration Services Cookbook: Powerful ETL techniques to load and transform data from almost any source

Harness the power of SQL Server 2017 Integration Services to build your data integration solutions with ease

About This Book

  • Acquaint yourself with all the newly introduced features in SQL Server 2017 Integration Services
  • Program and extend your packages to enhance their...
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
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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