Showing titles in Data Science

Blockchain is not just bitcoin or another type of cryptocurrency. Its functions and potential extends far beyond that and will definitely benefit many other industries. It has been referred to as the next coming of the Internet. Researchers and technologists alike are talking about how blockchain technology is going to affect industries from finance to retail to even healthcare. Governments, banks, and global companies are rushing to study and embrace this underlying technology of bitcoin.

Is hacking what you want to learn? Always wondered how one becomes a hacker? Does it interest you how hackers never seem to get caught? Download Hacking to discover everything you need to know about hacking. Step by step to increase your hacking skill set. Learn how to penetrate computer systems. All your basic knowledge in one download! You need to get it now to know what's inside, as it can't be shared here!

The greatest threat to privacy today is not the NSA, but good-old American companies. Internet giants, leading retailers, and other firms are voraciously gathering data with little oversight from anyone. In Las Vegas, no company knows the value of data better than Caesars Entertainment. Many thousands of enthusiastic clients pour through the ever-open doors of their casinos. The secret to the company’s success lies in their one unrivaled asset: they know their clients intimately by tracking the activities of the overwhelming majority of gamblers.

In this groundbreaking audiobook, we explore the capabilities of ChatGPT, a cutting-edge AI language model, as a trusted companion on your journey to millionaire status. ChatGPT Millionaire: The Blueprint to Becoming a Millionaire Using Artificial Intelligence serves as your personal AI mentor, providing valuable insights, guidance, and strategies to navigate the complexities of wealth creation in today's digital age. Throughout the book, we uncover the core principles and actionable steps required to build a solid financial foundation.

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.

Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades.

"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 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.   

Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves. The way toward learning starts with perceptions or data - for example, models, direct understanding, or guidance, so as to search for designs in data and settle on better choices later, depending on the models that we give.

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.

Big data - the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized - is revolutionizing business. Offering real-world insight and explanations, this audiobook provides a roadmap for organizations looking to develop a profitable big data strategy...and reveals why it's not something they can leave to the I.T. department. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.

Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.

Ever woken from a night of revelry to find your drunken antics the subject of a tagfest? Ever accidentally wall-posted yourself into a relationship row or been hunted by a school-days stalker? If your real social life is dying a death at the hands of your virtual one, fear not, Facebookers - help is just a little book away.This cheeky unofficial guide will show you how to navigate the perilous pitfalls of life online while having as much fun as possible.

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.

'Shivam Shankar Singh and Anand Venkatanarayanan's stellar examination of how modern conjurers apply the art of perception management to shape reality uses wonderful Indian epics and pop culture stories to convey complex information-warfare concepts like reflexive control, cybercriminal...

Everybody has heard of it - but who can explain it? In simple terms? This audiobook! After his latest best seller Cryptocurrencies Simply Explained, Dr. Julian Hosp now explains blockchain in a simple way - the next revolution. And it is far more than just Bitcoin, Ethereum, ICOs and Co. You will learn about dangers and weaknesses as well as chances of the blockchain technology. It is not a question if it will come, but when. Be prepared and learn today about the world of tomorrow.

Spring in Action, Fourth Edition is a hands-on guide to the Spring Framework, updated for version 4. It covers the features, tools, and practices including Spring MVC, REST, Security, Web Flow, and more. You'll move between short snippets and an ongoing example as you learn to build simple and efficient J2EE applications. Author Craig Walls has a special knack for crisp and entertaining examples that zoom in on the features and techniques you really need.

Understanding these relationships that make up a database can allow you to figure out the overall structure of the database you are building or working on. This will allow for better use of the existing framework and increase your productivity while decreasing time spent crunching numbers.

Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted? Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking...

In a world dazzled by digital promise, the profession of Data Science has acquired an almost mythical glow. Headlines celebrate it, industries chase it, and countless seekers imagine that mastery of this field will open a direct path to success. Yet behind this bright aura lies a more intricate reality—one shaped by discipline, ambiguity, intellectual rigor, and the quiet labour of confronting the unknown. This book invites the reader to step beyond the mirage and encounter the craft as it truly is.