Up and Running with DAX for Power BITake a concise approach to learning how DAX, the function language of Power BI and PowerPivot, works. This book focuses on explaining the core concepts of DAX so that ordinary folks can gain the skills required to tackle complex data analysis problems. But make no mistake, this is in no way an introductory book on DAX. A number of the topics you will learn, such as the concepts of context transition and table expansion, are considered advanced and challenging areas of DAX.
While there are numerous resources on DAX, most are written with developers in mind, making learning DAX appear an overwhelming challenge, especially for those who are coming from an Excel background or with limited coding experience. The reality is, to hit the ground running with DAX, it's not necessary to wade through copious pages on rarified DAX functions and the technical aspects of the language. There are just a few mandatory concepts that must be fully understood before DAX can be mastered. Knowledge of eve ...
Artificial Intelligence in Medical Sciences and PsychologyGet started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques.
The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neural networks (CNNs) to segment diseases such as cancer (e.g., skin, breast, and brain cancer) and pneumonia. The hidden Markov decision making process is presented to help you identify hidden states of time-dependent data. In addition, it shows how NLP techniques are used in medical records classification.
This book is suitable for experienced practitioners in varying medical specialties (neurology, virology, radiology, oncology, and more) who want to learn Python programming to help them work efficiently. It is also intended for data scientists, machine learning engineers, m ...
Beginning Data Science in R 4, 2nd EditionDiscover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.
Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.
This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
A Complete Guide to Docker for Operations and DevelopmentHarness the power of Docker by containerizing your code with all its libraries and file systems to consistently run anywhere. This book is your source for learning all about Docker operations and development. It's divided into two units and focuses on the topics that the Docker Certified Associate exam covers.
Unit 1 covers the Docker fundamentals, such as Docker Enterprise for Operations, Docker Enterprise for Developers, Swarm, and an introduction to Kubernetes. You will learn how to install Docker Community Edition, Docker Enterprise Edition with Kubernetes and CLI. Also, you will learn the Docker cycle, container lifecycle, develop applications in any language, wrap, build, ship, and deploy them for production. Finally, you will learn how to create a Swarm cluster, deploy an app to it, and manage it with the best practices according to the current technologies.
Unit 2 provides quizzes to help you prepare for the certification test. The DCA exam format and the question style h ...
Network Programming with Go Language, 2nd EditionDive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples.
Beyond the fundamentals, Network Programming with Go, Second Edition covers key networking and security issues such as HTTP protocol changes, validation and templates, remote procedure call (RPC) and REST comparison, and more. Additionally, authors Ronald Petty and Jan Newmarch guide you in building and connecting to a complete web server based on Go. Along the way, use of a Go web toolkit (Gorilla) will be employed.
This book can serve as both an essential learning guide and reference on networking concepts and implementation in Go. Free source code is available on Github for this book u ...
The Professional Agile LeaderTo leverage the immense opportunities associated with accelerating change, organizations need teams capable of trying new ideas quickly, learning from their experiences, and adapting based on that learning. Helping these teams to grow and thrive requires agile leaders who support, inspire, and encourage, and who can leave behind the management skills of directing, monitoring, and rewarding or punishing.
The Professional Agile Leader is a realistic, practical guide, written by experienced agile leaders who share their collective experiences in helping agile leaders to grow responsive and adaptive teams. They structure powerful lessons around a case study based on decades of experience helping agile leaders achieve and sustain agile transformation. Best of all, they never settle for high-level hand-waving-they show you how it's really done.
Reignite once-successful organizations that have lost their way; Form cross-functional teams and empower them with purpose; Learn to let go, as ...
Even You Can Learn Statistics and Analytics, 4th EditionThis book discusses statistics and analytics using plain language and avoiding mathematical jargon. If you thought you couldnt learn these data analysis subjects because they were too technical or too mathematical, this book is for you!
This edition delivers more everyday examples and end-of-chapter exercises and contains updated instructions for using Microsoft Excel. Youll use downloadable data sets and spreadsheet solutions, template-based solutions you can put right to work. Using this book, you will understand the important concepts of statistics and analytics, including learning the basic vocabulary of these subjects.
Create tabular and visual summaries and learn to avoid common charting errors; Gain experience working with common descriptive statistics measures including the mean, median, and mode; and standard deviation and variance, among others; Understand the probability concepts that underlie inferential statistics; Learn how to apply hypothesis tests, using Z, t, chi ...
Learn Enough Developer Tools to Be DangerousThree of the core tools needed for modern software development are the Unix command line, a text editor, and version control with Git. But you don't need to learn "everything" about them, just how to use them efficiently to solve real problems. In Learn Enough Developer Tools to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need so you can learn to write apps, get hired, collaborate, and maybe even launch your own company.
Even if you've never used (or even heard of) these tools before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Focused exercises help you internalize what matters, without wasting time on details pros don't care about. Soon, it'll be like you were born knowing this stuff-and youll be suddenly, seriously dangerous.
Learn enough about: Running a terminal, entering and editing commands, and using man pages; Manipulating and inspecting files: from basic cop ...
Becoming an Enterprise Django DeveloperDjango is a powerful framework but choosing the right add-ons that match the scale and scope of your enterprise projects can be tricky. This book will help you explore the multifarious options available for enterprise Django development. Countless organizations are already using Django and more migrating to it, unleashing the power of Python with many different packages and dependencies, including AI technologies.
This practical guide will help you understand practices, blueprints, and design decisions to put Django to work the way you want it to. You'll learn various ways in which data can be rendered onto a page and discover the power of Django for large-scale production applications. Starting with the basics of getting an enterprise project up and running, you'll get to grips with maintaining the project throughout its lifecycle while learning what the Django application lifecycle is.
By the end of this book, you'll have learned how to build and deploy a Django project to the ...
Algorithms for Decision MakingA broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.
Automated decision-making systems or decision-support systems - used in applications that range from aircraft collision avoidance to breast cancer screening - must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.
The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act t ...