John Paul Mueller
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About John Paul Mueller
John Mueller is a freelance author and technical editor. He has writing in his blood, having produced 117 books and over 600 articles to date. He has also written his second children's book recently, Tail of the Wuggly Bump. His technical topics range from networking to artificial intelligence and from database management to heads down programming. His most recent book is "Machine Learning for Dummies, 2nd Edition." His technical editing skills have helped over 70 authors refine the content of their manuscripts. You can reach John on the Internet at John@JohnMuellerBooks.com and his Web site at: http://www.johnmuellerbooks.com. Make sure to read his blog at http://blog.johnmuellerbooks.com to obtain the latest book information, updates, and extra materials.
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Your comprehensive entry-level guide to machine learning
While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more.
Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study.
- Understand the history of AI and machine learning
- Work with Python 3.8 and TensorFlow 2.x (and R as a download)
- Build and test your own models
- Use the latest datasets, rather than the worn out data found in other books
- Apply machine learning to real problems
Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.
Focusing just on the essentials of command-line interface (CLI), Windows Command-Line Administration Instant Reference easily shows how to quickly perform day-to-day tasks of Windows administration without ever touching the graphical user interface (GUI). Specifically designed for busy administrators, Windows Command-Line Administration Instant Reference replaces many tedious GUI steps with just one command at the command-line, while concise, easy to access answers provide solutions on the spot.
- Provides practical examples, step-by-step instructions, and contextual information
- Quick-reference style delivers the commands needed for managing data and the network; working with Active Directory; performing diagnostics and maintenance; and, creating batch files and scripts
- Covers administration for Windows Server 2008 Server Core, Windows Server 2008 (including R2), and Windows 7
Administrators can get more done in less time with CLI than they can with the standard GUI. Compact enough to keep on hand at all times, Windows Command-Line Administration Instant Reference provides administrators with a convenient, fast and simple way to use CLI.
C# is one of the most popular programming languages, and frequent updates help it keep pace as the world of coding changes. You can keep pace too, thanks to C# 10.0 All-in-One For Dummies, where you'll learn the basics of the language itself, how to code in Visual Studio, and how to take advantage of the new features in the latest release. At every stage of your career, you'll need to know the cutting-edge trends and techniques that clients want. This book has your back, with info on object-oriented programming, writing secure code, building web applications, and more.
The six standalone mini-books you'll find inside this all-in-one will take you through the changes to C# and the practical applications and dev tools that you need to know. New features covered include records, init only setters, top-level statements, pattern matching enhancements, fit and finish features, and a lot more. Plus, this version is packed with more examples and code snippets, so you can sharply see C# in action!
- Learn the very basics of C# programming, even if you have no prior experience
- Refresh your knowledge of the language and learn how to use the new features in the 10.0 version release
- Read six mini-books on hot coding topics like object-oriented programming, Visual Studio, and Windows 10 development
- Enhance your employability and join the 6.5-million-strong community of C# developers
You need an easy-to-read C# guide that will help you understand the incoming updates, and this For Dummies reference is it.
Go from total MATLAB newbie to plotting graphs and solving equations in a flash!
MATLAB is one of the most powerful and commonly used tools in the STEM field. But did you know it doesn’t take an advanced degree or a ton of computer experience to learn it? MATLAB For Dummies is the roadmap you’ve been looking for to simplify and explain this feature-filled tool.
This handy reference walks you through every step of the way as you learn the MATLAB language and environment inside-and-out. Starting with straightforward basics before moving on to more advanced material like Live Functions and Live Scripts, this easy-to-read guide shows you how to make your way around MATLAB with screenshots and newly updated procedures. It includes:
- A comprehensive introduction to installing MATLAB, using its interface, and creating and saving your first file
- Fully updated to include the 2020 and 2021 updates to MATLAB, with all-new screenshots and up-to-date procedures
- Enhanced debugging procedures and use of the Symbolic Math Toolbox
- Brand new instruction on working with Live Scripts and Live Functions, designing classes, creating apps, and building projects
- Intuitive walkthroughs for MATLAB’s advanced features, including importing and exporting data and publishing your work
Perfect for STEM students and new professionals ready to master one of the most powerful tools in the fields of engineering, mathematics, and computing, MATLAB For Dummies is the simplest way to go from complete newbie to power user faster than you would have thought possible.
The fast and easy way to learn Python programming and statistics
Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.
Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.
- Get started with data science and Python
- Visualize information
- Wrangle data
- Learn from data
The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
The easy way to learn programming fundamentals with Python
Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural.
Due to its ease of use and flexibility, Python is constantly growing in popularity—and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide. Inside, expert author John Paul Mueller gives a complete step-by-step overview of all there is to know about Python. From performing common and advanced tasks, to collecting data, to interacting with package—this book covers it all!
- Use Python to create and run your first application
- Find out how to troubleshoot and fix errors
- Learn to work with Anaconda and use Magic Functions
- Benefit from completely updated and revised information since the last edition
If you've never used Python or are new to programming in general, Beginning Programming with Python For Dummies is a helpful resource that will set you up for success.
Your guide to the functional programming paradigm
Functional programming mainly sees use in math computations, including those used in Artificial Intelligence and gaming. This programming paradigm makes algorithms used for math calculations easier to understand and provides a concise method of coding algorithms by people who aren't developers. Current books on the market have a significant learning curve because they're written for developers, by developers—until now.
Functional Programming for Dummies explores the differences between the pure (as represented by the Haskell language) and impure (as represented by the Python language) approaches to functional programming for readers just like you. The pure approach is best suited to researchers who have no desire to create production code but do need to test algorithms fully and demonstrate their usefulness to peers. The impure approach is best suited to production environments because it's possible to mix coding paradigms in a single application to produce a result more quickly. Functional Programming For Dummies uses this two-pronged approach to give you an all-in-one approach to a coding methodology that can otherwise be hard to grasp.
- Learn pure and impure when it comes to coding
- Dive into the processes that most functional programmers use to derive, analyze and prove the worth of algorithms
- Benefit from examples that are provided in both Python and Haskell
- Glean the expertise of an expert author who has written some of the market-leading programming books to date
If you’re ready to massage data to understand how things work in new ways, you’ve come to the right place!
Turn your ideas into diagrams and drawings with Visio's stencils and templates
If you have an idea you want to get down on electronic paper, Visio 2007 is for you, and so is this book! They're both flexible and user-friendly. Here's how to use Visio to capture ideas from simple to intricate, update data in a drawing with a single click, add and manipulate text, work with connectors, and more.
Discover how to
- Create business, engineering, software, or network diagrams
- Format an entire drawing using themes
- Analyze "what-if" scenarios with PivotDiagrams
- Produce layered multipage drawings
- Save drawings to publish on the Web
All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making.
Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python!
- Become well-versed in the major areas comprising algorithms
- Examine the incredible history behind algorithms
- Get familiar with real-world applications of problem-solving procedures
- Experience hands-on development of an algorithm from start to finish with Python
If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
Your logical, linear guide to the fundamentals of data science programming
Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.
Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time.
- Get grounded: the ideal start for new data professionals
- What lies ahead: learn about specific areas that data is transforming
- Be meaningful: find out how to tell your data story
- See clearly: pick up the art of visualization
Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!
Your hands-on guide to Entity Framework fundamentals
Expand your expertise—and teach yourself the fundamentals of the Microsoft ADO.NET Entity Framework 5. If you have previous programming experience but are new to the Entity Framework, this tutorial delivers the step-by-step guidance and coding exercises you need to master core topics and techniques.
Discover how to:
- Access data in a managed way—using minimal code
- Apply three workflows supported by the Entity Framework
- Perform essential tasks with full automation in place
- Manipulate data with both LINQ and Entity SQL
- Create examples that rely on Table-Valued Functions
- Determine the remedies for Entity-specific exceptions
- Explore the use of optimistic and pessimistic concurrency
- Define mappings between your applications and data sources