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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...
The Disaster Recovery Handbook: A Step-by-Step Plan to Ensure Business Continuity and Protect Vital Operations, Facilities, and Assets
The Disaster Recovery Handbook: A Step-by-Step Plan to Ensure Business Continuity and Protect Vital Operations, Facilities, and Assets

You can't predict or prevent disasters. That's reality. But with The Disaster Recovery Handbook, you can create a plan to ensure your business will continue and your vital operations, facilities, and assets will be protected. Expect the best. Plan for the worst. Survey the headlines: superstorms, data breaches, pandemics, system...

Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more
Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more

Leverage the power of Python to collect, process, and mine deep insights from social media data

About This Book

  • Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more
  • Analyze and extract actionable insights from your social data using various...
Mastering Machine Learning With scikit-learn
Mastering Machine Learning With scikit-learn

Apply effective learning algorithms to real-world problems using scikit-learn

About This Book

  • Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering
  • Acquaint yourself with popular machine learning algorithms, including...
Java: Data Science Made Easy
Java: Data Science Made Easy

Data collection, processing, analysis, and more

About This Book

  • Your entry ticket to the world of data science with the stability and power of Java
  • Explore, analyse, and visualize your data effectively using easy-to-follow examples
  • A highly practical course covering a broad...
Think Data Structures: Algorithms and Information Retrieval in Java
Think Data Structures: Algorithms and Information Retrieval in Java

If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than...

Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions
Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions
Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions,...
Salesforce.com For Dummies (For Dummies (Computer/Tech))
Salesforce.com For Dummies (For Dummies (Computer/Tech))

Your all-access guide to reaping the benefits of Salesforce.com

Salesforce.com has a rapidly expanding influence over the way companies across the globe interact with their clientele. Written by Salesforce.com insiders with years of experience in customer relationship management (CRM) solutions, Salesforce.com For...

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Learning scikit-learn: Machine Learning in Python
Learning scikit-learn: Machine Learning in Python

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.

Overview

  • Use Python and scikit-learn to create intelligent applications
  • Apply...
Robots, Reasoning, and Reification
Robots, Reasoning, and Reification
Robots, Reasoning, and Reification focuses on a critical obstacle that is preventing the development of intelligent, autonomous robots: the gap between the ability to reason about the world and the ability to sense the world and translate that sensory data into a symbolic model.

This ability is what enables living systems to look at the world...

The Future of Software Engineering
The Future of Software Engineering

This book focuses on defining the achievements of software engineering in the past decades and showcasing visions for the future. It features a collection of articles by some of the most prominent researchers and technologists who have shaped the field: Barry Boehm, Manfred Broy, Patrick Cousot, Erich Gamma, Yuri Gurevich, Tony Hoare, Michael...

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