Showing titles in Data Science

"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.

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.

Do you want to learn how to build a pen test lab, but you don’t know where to start? Do you want a practical book that explains step by step how to get going? Do you want to become an ethical hacker or pen tester? If the answer is yes to the above questions, this audiobook is for you. Buy this audiobook now, and get started today!

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.

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.

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.

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.

In today's data-driven world, information is a powerful asset. But how do you ensure this information is reliable, secure, and usable? The CompTIA Data+ certification equips you with the foundational knowledge and skills to navigate the exciting realm of data storage, management, and analysis. This comprehensive guidebook serves as your roadmap to CompTIA Data+ mastery.

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

By listening to Storytelling with Data, you learn the fundamentals of data visualization and how to effectively communicate with data. You will discover the power of storytelling! Through this audiobook, you will know the method to reach the heart of the data so that you can manage them according to your needs and, through appropriate graphics and correct communication, create a compelling story that allows you to convey your ideas effectively and productively to listeners.

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.

Structured Query Language (SQL) is the gold standard for interacting with modern databases. Used by companies all over the world, SQL allows users to manipulate the contents, architecture, and existence of a Relational Database Management System (RDBMS) with just a few commands. Knowledge of this simple, yet powerful tool is becoming ubiquitous in workplaces big and small, corporate, and public. From young startups to multinational conglomerates - businesses of all types need to effectively manage and process their data.

Descubra métodos y estrategias avanzadas para aprender ciencia de datos paraempresas. Las oportunidades que ofrece el big data son enormes; deje que este libro le ayude a aprovechar esas oportunidades. Ahora es el momento de comenzar a recopilar información esencial, hacer predicciones racionales y obtener una ventaja competitiva sobre otras empresas utilizando la amplia gama de datos disponibles en línea.

Un científico de datos es alguien que sabe más de informática que un estadístico, y conoce más estadísticas que un científico de la computación. Si bien, en gran medida, esto es cierto, convertirse en un buen científico de datos requiere el dominio no solo de estas dos áreas clave, sino también de algunas teorías y modelos cruciales para este campo. El libro se recomienda a todos los lectores interesados ​​que aspiran a destacarse en el campo de la ciencia de datos.

Learning data analytics will open up new opportunities for you. Data analytics will be the most in-demand skill by 2030. Right now, the higher the data literacy the employee has the higher the salary he can get, for example in the US employees with solid data analytics knowledge can increase their annual salary by $11,000. (source: QLIK Technologies, Inc.)

Data science is one of the most popular, lucrative and highly desirable skill set out there. Learning it—and mastering the craft—is a walk in the park when you have the right guidance.

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.

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.

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.

This book serves as a comprehensive guide to the blockchain, explaining its key components and mechanics, current use cases, and future potential. Starting with an introduction to what the blockchain is and its brief history, the book explores each component of the blockchain in detail, including nodes, transactions, blocks, consensus mechanisms, cryptographic hash functions, public and private keys, smart contracts, and network protocol.