Doug Ortiz – författare

Expert SharePoint 2010 Practices is a valuable compendium of best practices, tips, and secrets straight from the most knowledgeable SharePoint gurus in the industry.

Learn from the experts as you dive into topics like multitenancy, solution deployment, business intelligence, and administration. Our team of carefully chosen contributors, most with Microsoft''s Most Valuable Professional (MVP) designation bestowed upon them, shares with you the secrets and practices that have brought them success in a wide variety of SharePoint scenarios.

Each contributor is passionate about the power of SharePoint and wants to help you leverage the capabilities of the platform in your business—but in the proper way. Go beyond procedures and manuals, and benefit from hundreds of years of combined experience, which the authors of Expert SharePoint 2010 Practices provide in these pages.

Learn from the masters and take control of SharePoint 2010 like you never have before with Expert SharePoint 2010 Practices!

A hands-on guide for professionals to perform various data science tasks in R

Key Features

Book Description

R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems.

The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data.

Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.

What you will learn

Who this book is for

If you are a budding data scientist keen to learn about the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource you need to get started. Some programming experience in Python will be helpful to get the most out of this course