Showing titles in Data Science

Are you ready to enhancing your computer experience? Learn how to hack into your Windows computer! Hacking: Learn Hacking Fast! The Ultimate Coursebook for Beginners provides hacking tutorials, resources, and brief in-depth hacking information that will take your computer usage experience to the next level. This audiobook is designed to guide you into the world of hacking.

Amazon Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. The audiobook will teach you about the most important services on AWS. You will also learn about best practices regarding security, high availability, and scalability.

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values, and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.

"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.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

While the world is transfixed by bitcoin mania, your competitors are tuning out the noise and making strategic bets on blockchain. Your rivals are effortlessly tracking every last link in their supply chains. They're making bureaucratic paper trails obsolete while keeping their customers' data safer and discovering new ways to use this next foundational technology to sustain their competitive advantage.

"Algorithms: From Basic Concepts to Complex Solutions" is your essential guide to mastering the art of algorithmic problem-solving. Are you a beginner stepping into the world of computer science or an experienced developer looking to deepen your understanding, this book offers a comprehensive exploration of algorithms, from foundational principles to advanced techniques.

Smacking some numbers onto a pie chart is old news and simply doesn't work anymore. Keeping your audience inspired and on the edge of their seats through an engaging data story is what we as business professionals should be striving to do. How to Win with Your Data Visualizations uncovers the fundamentals of what makes a winning data presentation and has laid them out in five easy-to-understand parts you can immediately apply to your next chart and presentation to see a winning data story unfold.

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.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.

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.

We can't live without the internet, but we know very little about the secret industry that keeps the wheels of modern life turning; the data centre industry. This is where the internet lives. This is the industry that has the power to make or break our connections. Cloaked in mystery, with secrets, scandals, and bloodthirsty boardroom battles raging behind the scenes, this is where the magic happens. Michael Tobin OBE has been at the forefront of the data centre industry since its birth. This is his never-before-published account of the explosion of the data centre industry.

Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data.

As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization.

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.

We are living in the age of information and there’s no denying it—those who are best at organizing, understanding, and then using data to their advantage will be the ones on top. The skills themselves are simple and easy to learn and will give you a tremendous advantage in the highly competitive marketplace of today’s workforce. The only thing left is for you to give a little commitment and launch yourself into a whole new reality of success.

Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

Have you always wanted to learn Machine Learning principles and how to create bots and more with Python? Every day more and more of our technologies and processes are being automated and computing is no different. Besides being able to automate many simple coding operations and algorithms so that you can complete daily tasks and projects faster than before, Machine Learning makes you more employable down the line. This audiobook will teach you everything that you need to know to start creating simple shell scripts and bots today.

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.