Showing titles in Data Science

Using data to guide decision making builds stronger, more adaptable organisations that can thrive in a rapidly changing world. Embedding a pragmatic, data-guided culture in any organisation can be a challenge. This comprehensive guide for leaders sets out a proven framework for developing the mindset and strategies required to generate value from data and to scale quickly. Jargon-free and packed with practical advice, Data Means Business can help you activate your data to generate growth.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.  

This is a collection of two comprehensive books about data analytics and data mining.

Law today is incomplete, inaccessible, unclear, underdeveloped, and often perplexing to those whom it affects. In The Legal Singularity, Abdi Aidid and Benjamin Alarie argue that the proliferation of artificial intelligence-enabled technology–and specifically the advent of legal prediction–is on the verge of radically reconfiguring the law, our institutions, and our society for the better.

The Microsoft Access Database comes with its own programming language known as Visual Basic Applications. It provides a powerful way that allows automation and usually controls how an access database application operates. Even though it is easy to use, getting started can tend to be overwhelming or intimidating for beginners. To make things easy for you to learn and understand we have come up with this powerful yet short book. This incredible product is intended to help you feel at home in a programming environment while learning access VBA programming quickly.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery.

Written by a former election campaign consultant for a major political party, How to Win an Indian Election takes listeners into the forbidden world of election war-rooms and gives them a glimpse of how strategy is formulated, what works with voters on the ground and what doesn't. Based on research, interviews and the author's own experiences, this book is invaluable for its insight into the inner workings of politics, political parties and what really makes for a winning election campaign. 

R is an open-source statistical environment and programming language that has grown in popularity for data management and analysis in various industries. “R” Programming teaches you all the R you'll ever need in a rapid and painless manner. Learn how to use R to transform raw data into knowledge, understanding, and insight. This book introduces you to R, RStudio, and the tidyverse, a set of R tools that work together to make data research simple, fluent, and enjoyable. 

Welcome to "Predictive Power: Navigating the Landscape of AI Systems and Decision-Making." In this book, we embark on a journey into the fascinating world of artificial intelligence (AI) systems and their profound impact on decision-making processes across various domains. From business and healthcare to finance and beyond, AI technologies are revolutionizing and transforming how we analyze data, predict outcomes, and make informed choices.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.  

Knowing how to craft SQL queries and navigate your way around a database is an essential skill if are a Database Administrator, System Administrator, or Programmer. This book guides you step-by-step by teaching you how to create databases, populate those databases with data, extract just the data you need, and much more.

Info We Trust celebrates data storytelling, as explained by one of the field's most talented creators. Both engineer and artist, R. J. Andrews draws on disciplines from across the human experience to show how to create new ways of seeing the world. And most importantly, to build powerful data-driven information that is worthy of trust.

In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries - and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries.

Understanding Ethereum now could equip you with the knowledge ahead of a major technological revolution in these early stages of development. After listening to this audiobook, you will understand how to easily set up an Ether wallet and then buy and trade Ether. This audiobook always contains information about mining Ether including cloud mining and more advanced Ethereum topics.

The financial system is in the process of rocking off its feet. Change is inevitable, but where is the future of cryptocurrency? Is it hashgraph technology or blockchain technology? Some say that hashgraph is the future. It’s fast, secure, and fair and should become the future of how you handle transactions. Others see blockchain as the evolution of the world’s economy, especially after it burst into awareness in 2017. You decide. Hear the facts and comparisons in this easy-to-listen-to and well-researched book authored by business owner, Stephen C. Keller.

Did you always want to learn a computer language, but were afraid would be too difficult? Or maybe you know other languages, but have heard of Python and wanted to try it? If you answered yes, then this audiobook is for you. This book is designed to have you educated and productive in the shortest amount of time possible.

Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of big data. Listeners are guided through tried-and-true methodologies for getting more out of data and using it to the utmost advantage. This audiobook describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding big data, all while guiding listeners toward better decision-making from the perspective of a data scientist.

The Internet of Things is a networked world of connected devices, objects, and people. In this book Samuel Greengard offers a guided tour through this emerging world and how it will change the way we live and work. Greengard explains that the Internet of Things (IoT) is still in its early stages. Smartphones, cloud computing, RFID (radio-frequency identification), technology, sensors, and miniaturization are converging to make possible a new generation of embedded and immersive technology.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.