Data Science

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.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data....

This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice....

In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkataraman offer a first-of-its-kind playbook that will help industrial companies combine what they do best with what digitals do best.

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 for professionals, students, technologists, and all curious minds, this book demystifies complex AI concepts while offering actionable strategies for navigating rapid AI advancements.

By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data....

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code.

The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond....

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms.

Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a better understanding of the language and its internals. This book provides an intensive, comprehensive, and idiomatic view of Go....

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja....

Data analysis is a skill that becomes essential as the world becomes more data-driven. And one of the most effective ways to dive into data analysis is by learning a programming language. Python is a great place to start. This book explains what you need to know to start using it for data analysis.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns....

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers....

Microsoft Power Platform for Dummies covers the essentials you need to know to get started with Microsoft Power Platform, the suite of business intelligence applications designed to make your enterprise work smarter and more efficiently.

Businesses own more data than ever before, but it's of no value if you don't know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production....

The AI revolution is reshaping every sector. Whether you’re exploring generative AI for personal growth, seeking insightful AI audiobooks, or aiming to leverage AI for career success, this essential guide equips you to stay competitive and thrive.

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....

From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Demystifizieren wir zusammen die Welt der großen Daten! Fast jeder nutzt heute Smartphones und Messenger und damit Big Data! Aber weißt du auch, wie im Hintergrund all diese Daten konkret generiert, gesammelt und ausgewertet werden? Praktische Tipps zum Thema Datenschutz, Smartphones und anonymes Surfen. Mache dich mit diesem Hörbuch zu einem wahren Datenschutzexperten!

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.

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

The volumes of data we now access can give unparalleled abilities to make predictions, respond to customer demand and solve problems. But Big Brother’s shadow hovers over it. Though big data can set us free and enhance our lives, it has the potential to create an underclass and a totalitarian state. With big data ever-present, you can’t afford to ignore it. Acclaimed science writer Brian Clegg - a habitual early adopter of new technology (and the owner of the second-ever copy of Windows in the UK) - brings big data to life.

Do you want to understand what big data is all about, but you don’t get all the hype? Are you intrigued by the idea of building a career around big data and data science, but you just don’t understand it? If so, this audiobook could be what you are looking for. If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning.

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.

By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.

Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims. But how well do you know big data? You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun? Yes. Yes, you can.

Colonialism has not disappeared; it has taken a new form. In the new world order where data is the new oil, big Tech companies are grabbing our most basic natural resources - our data - exploiting our labour and connections, and repackaging our information to control our views, track our movements, record our conversations and discriminate against us. In this searing, cutting-edge guide, two leading global researchers and founders of the concept of data colonialism reveal how history can help us understand the emerging future - and how we can fight back.

An unflinching look at the aspiring city-builders of our smart, mobile, connected future. We live in a world defined by urbanization and digital ubiquity, where mobile broadband connections outnumber fixed ones, machines dominate a new "internet of things," and more people live in cities than in the countryside.

This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data.

This eye-opening book provides vital information that has been out of reach to those who need it most—the millions of Facebook, Google, Amazon, Apple, and Microsoft users who have come to love and depend upon these digital products. Veteran consumer advocate Jane Hoffman makes the complex world of Big Tech simple to grasp as she reveals exactly how Big Tech uses—and abuses—your personal information. And she proposes a bold blueprint for reforming these corporate behemoths.

Machines are able to interpret and understand human beings, and also interpret the data that is fed to them because of artificial intelligence. So, what is artificial intelligence? If you have been reading the basics, you will know that artificial intelligence is a human being’s attempt to make a machine smart enough to handle processes that a human being would normally do. It is not easy to do this, since you will need to understand the system and also learn the required programming languages to instruct the computer to behave in the required manner.

Python ist die ideale Programmiersprache, um Programmieren zu lernen. Die Sprache ist sowohl sehr simpel als auch vielseitig einsetzbar. Das macht Python zu einer der populärsten Programmiersprachen überhaupt. Zu Beginn lernst du die Grundlagen der Programmiersprache Python, also Datentypen, Variablen, Kontrollstukturen, Schleifen und Funktionen.

Der leichte Weg zum Python-Experten! Python ist eine weit verbreitete, universell einsetzbare und leicht zu erlernende Programmiersprache und eignet sich daher bestens zum Programmieren lernen! In diesem Buch wird das Programmieren in Python beginnend mit den Grundlagen leicht und verständlich erklärt, ohne dass dabei Vorkenntnisse vorausgesetzt werden. Ein besonderer Fokus wird dabei auf die Objektorientiere Programmierung (OOP) und das Erstellen von grafischen Oberflächen gelegt.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this edition covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail. After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries.

Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.

Data analysis is a must-have skill that becomes more essential as the world becomes more data-driven. And one of the most effective ways to dive into data analysis is by learning a programming language. Python is a great place to start. This book explains everything you need to know to start using Python for data analysis.

Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.

Learn Python fundamentals that can be used in any programming setting—use the guidance in this book to program your own game in a unique and practical Python learning experience. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.

Der leichte Weg zur eigenen Webseite! Mit diesem Hörbuch lernen Sie HTML5 und CSS3 von Grund auf kennen, um eigene moderne Webseiten zu erstellen, ohne dass hierbei Vorkenntnisse nötig wären. Über die Grundlagen hinaus werden fortgeschrittene Techniken anschaulich erklärt, darunter beispielsweise das Erstellen von Formularen und Animationen, das Einbinden audiovisueller Elemente oder Responsive Design, für ein ansprechendes und nutzerfreundliches Seitenlayout auf PC, Tablet und Smartphone.

This book is great for those just starting out in programming. And for those needing more advanced coding knowledge. The author explains everything step by step in a simple and easy to understand way. This book covers JavaScript, HTML, SQL, CSS, and Python programming languages. The narrator in the audiobook version seems to be pretty good. He doesn't drone on.

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

Lerne die Datenbanksprache SQL einfach während der Autofahrt, in der U-Bahn, beim Kochen oder Putzen. In diesem Hörbuch lernst du die Grundlagen relationaler Datenbanken und du erfährst, was ein ER-Diagramm, das relationale Modell und die relationale Algebra ist. Und natürlich lernst du alles zu SQL.

Kam Ihnen beim Bezahlen Ihrer Einkäufe im Supermarkt schon mal die Frage, wie all die vielen Transaktionen samt der enthaltenen Artikel, Rabatte und weiteren wichtigen Informationen in Windeseile weiterverarbeitet und gespeichert werden und wie jede Transaktion direkt auf einem Kassenbon landet?

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.

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.

Structured query language, or SQL (pronounced "sequel" by many), is the most widely used programming language in database management and is the standard language for relational database management systems (RDBMS). SQL programming allows users to return, analyze, create, manage, and delete data within a database - all within a few commands.

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.

This book is great for those just starting out in programming. And for those needing more advanced coding knowledge. The author explains everything step by step in a simple and easy to understand way. This book covers JavaScript, HTML, SQL, CSS, and Python programming languages. The narrator in the audiobook version seems to be pretty good. He doesn't drone on.

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.

Have you always been interested in the world of programming? If you want to learn the programming languages for beginners or the professional hacking techniques, then this is the perfect audiobook for you. This audiobook includes: SQL Computer Programming for Beginners, Python for Beginners, Kali Linux and Hacking with Kali Linux.

This book will explain SQL statements in detail in layman terms and will help beginners start writing statements that are related to SQL in much less time. SQL is one of the most famous database query languages and can easily make things work in the database applications. We will start with a thorough explanation of the relational databases and the relationships that are present.

With simple, easy-to-understand explanations, SQL: A Step by Step Guide to Learn SQL Computer Programming Technologies explores the fundamentals of the incredible SQL language in a way that even a complete novice can understand. This language is a vital skill for anyone looking to become a database programmer or work in IT fields – but now it’s never been easier!

SQL, or structured query language, has been around since the '80s. It has proven to be effective and efficient, making it the ideal solution for your database demands. The best part? You can learn how to program using SQL in just nine chapters. This audiobook introduces you to the basics of programming using comprehensive examples and step-by-step practice problems that sets you up for success.

SQL: Beginner Level SQL from the Ground Up is the first entry in a series of books designed to make SQL accessible to the fledgling user. This series will break up the material into bite-sized chunks to take listeners from uninitiated novice to expert scripter, with layman explanations and query examples. The Internet has arrived. The information age is upon us. Data is one of the most important tools in the arsenal of any business. Upgrade your skill set and make yourself more valuable in the wide open space of data management.

SQL is a program that is going to make it to where you can get the career of your dreams or even unlock doors that were previously closed. In learning SQL, you are going to realize that it is pretty simple, although, for a newcomer, it is going to seem like an entirely different language. And that is because it is!