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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...

The SEO Battlefield: Winning Strategies for Search Marketing Programs
The SEO Battlefield: Winning Strategies for Search Marketing Programs

Welcome to the battlefield. Every day, companies ranging from startups to enterprises fight to achieve high search rankings, knowing that previous success can quickly vanish. With this practical guide, you’ll learn how to put search engine optimization (SEO) methodology into practice, including the research, data analysis, and...

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

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...
Advanced Microservices: A Hands-on Approach to Microservice Infrastructure and Tooling
Advanced Microservices: A Hands-on Approach to Microservice Infrastructure and Tooling

Use the many types of tools required to navigate and maintain a microservice ecosystem. This book examines what is normally a complex system of interconnected services and clarifies them one at a time, first examining theoretical requirements then looking at concrete tools, configuration, and workflows.

Building out these systems...

The Design Thinking Playbook: Mindful Digital Transformation of Teams, Products, Services, Businesses and Ecosystems
The Design Thinking Playbook: Mindful Digital Transformation of Teams, Products, Services, Businesses and Ecosystems

A radical shift in perspective to transform your organization to become more innovative

The Design Thinking Playbook is an actionable guide to the future of business. By stepping back and questioning the current mindset, the faults of the status quo stand out in stark relief—and this guide gives you the tools...

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 Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark
Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics...

Architecting the Industrial Internet: The architect's guide to designing Industrial Internet solutions
Architecting the Industrial Internet: The architect's guide to designing Industrial Internet solutions

Learn the ins and outs of the Industrial Internet of Things through subjects ranging from its history and evolution, right up to what the future holds.

About This Book

  • Define solutions that can connect existing systems and newer cloud-based solutions to thousands of thousands of edge devices and...
Big Data Application Architecture Q&A: A Problem - Solution Approach (Expert's Voice in Big Data)
Big Data Application Architecture Q&A: A Problem - Solution Approach (Expert's Voice in Big Data)

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

...

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm,...
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