Showing titles in Data Science

Unleash your potential in the thrilling and ever-evolving field of data with the eBook, "Data Cleaning and Preparation." This guide offers a comprehensive journey into understanding the art of data manipulation. It is tailored perfectly to meet the demands of beginners and professionals alike who have an interest in amplifying their knowledge and practical skills in data science. Immerse yourself in the landscape of data cleaning and preparation with the book's engrossing first chapter. It along with subsequent chapters uncovers the foundation of data quality, its common problems, and their...

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.

In a world where technology is ever-evolving and the invisible threads of radio frequency crisscross the skies, the silent enemy of interference lurks, ready to disrupt and distort. "Silencing the Static" is a guidepost in a land of wavering signals, a beacon of knowledge that offers an in-depth exploration of Radio Frequency Interference (RFI) and how it affects the intricate dance of digital communication. This riveting text is an essential read for anyone navigating the complex terrain of today's electronic-centric landscape. Embark on a comprehensive journey through RFI's mysterious ...

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.

Amazon has become one of the world's most valuable assets that not only generate revenues from selling goods but has cloud computing and web hosting facilities as its potential profit drivers. This book offers a guide to AWS, for both beginner and advanced users. If you want to reduce your companies operating costs, and control the safety of your data, use this step-by-step guide for computing and networking in the AWS cloud.

Do you have a clear understanding of the different types of machine learning algorithms? Do you know what a neural network is and how you can build it? If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.

Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop in the enterprise, allowing you to harness big data.

Learn how big data and other sources of information can be transformed into valuable knowledge - knowledge that can create incredible competitive advantage to propel a business toward market leadership. Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy.

In our highly competitive world of today, we need all the edge we can to get ahead of our competitors. For a long time, companies have focused on spending more on marketing and advertisement, ignoring the powerful asset they had at their disposal: data. Although this isn't the case anymore for large companies, smaller businesses are still in the dark about this, and you can use this asset to your advantage. This bundle will show you how.

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.

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.

The data your company generates is enormously valuable. But without the right strategy, you’ll never unlock that value - and you might even put your company at risk. Data Leverage is the first comprehensive book on the exploding opportunity of corporate data partnerships. The authors, Christian and Jay Ward, are experts - a business strategist and a lawyer who, together, have executed hundreds of deals.

Need to learn SQL for work, but don't know where to start? Ever tried to learn, but got bored with dry-as-dust textbooks? Let SQL with a Smile introduce you to the Structured Query Language with a laid-back approach - and a lot of bad jokes! Don't get bogged down with database details you don't need yet.

This is a two-book bundle related to C++ programming and data analytics! Two manuscripts for the price of one!

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.

Ninety-four percent of consumers will leave a website if it has poor graphic design. Do you want to effortlessly keep an audience’s attention on your data visuals and not their phones? Keep listening.

Overcome the challenges, appreciate the varieties, and apply the process of data integration. Learn all about data integration and become a data integration hero instead of following the masses and running in the opposite direction at the mere mention of the word “integration”. Understand why organizations avoid data integration and often wind up with spider web environments containing siloed applications instead of an enterprise database which excites analysts and data scientists. Distinguish the different types of integration: database, attribute, key, index, encoding, measurement, ...

PL/SQL, integrated with the Oracle database, is the procedural extension of SQL. This book is for PL/SQL beginners. When they finish reading the book and trying its examples, they would have equipped themselves with basic PL/SQL skills to start writing PL/SQL programs in a real-world development project. The second edition has three new chapters (Records & Collection, Privileges, and PL/SQL in Java), and five new topics added in existing chapters (Transaction, DDL statements, Stored Programs, Package, and Trigger)

Muchos acontecimientos del pasado han demostrado que disponer de la información adecuada y saber interpretarla a tiempo supone la diferencia entre el éxito y el fracaso en campos tan diversos como el de la agricultura o el de los negocios. La ciencia de datos es hoy una realidad en pleno desarrollo, en la que la visualización de la información resulta clave para extraer el máximo conocimiento y adoptar las mejores decisiones.

Journalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares. These metrics influence what stories are written, how news is promoted, and even which journalists get hired and fired. Do metrics make journalists more accountable to the public? Or are these data tools the contemporary equivalent of a stopwatch wielded by a factory boss, worsening newsroom working conditions and journalism quality?