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Access 2019 For Dummies
Access 2019 For Dummies

People who really know how to build, populate, and simplify databases are few and far between. Access 2019 For Dummies is here to help you join the ranks of office heroes who possess these precious skills. This book offers clear and simple advice on how to build and operate databases as well as create simple forms, import data from outside sources, query databases for information, and share knowledge in reports. In short, it's the book that holds all the secrets behind the mysteries of Access! Build effective databases from the ground up; Simplify your data entry with forms and tables; Write queries that produce answers to your data questions; Simplify input with forms. There's no time like the present to get your hands on the insight that database beginners need to become Access gurus. ...
Excel 2019 For Dummies
Excel 2019 For Dummies

Excel is the spreadsheet and data analysis tool of choice for people across the globe who utilize the Microsoft Office suite to make their work and personal lives easier. It is estimated that 1 in 7 people on the planet use Microsoft Office! If you're one of them, and want to get up to speed on the latest changes in Excel, you've come to the right place. Excel 2019 For Dummies has been updated to reflect the major changes and features made to Excel and covers everything you need to know to perform any spreadsheet task at hand. It includes information on creating and editing worksheets, formatting cells, entering formulas, creating and editing charts, inserting graphs, designing database forms, adding database records, using seek-and-find options, printing, adding hyperlinks to worksheets, saving worksheets as web pages, adding existing worksheet data to an existing webpage, pivot tables, pivot charts, formulas and functions, Excel data analysis, sending worksheets via e-mail, and so ...
Canon EOS Rebel T7/2000D For Dummies
Canon EOS Rebel T7/2000D For Dummies

Your Canon EOS Rebel T7/1400D provides enough camera power to take the pro-style shots you've dreamed of shooting - and this book shows you how. Canon EOS Rebel T7/1400D For Dummies bridges the gap between taking quick shots in auto mode and taking charge of the settings that offer full control of your pictures focus, color, and light balance. Take a peek inside to discover all the expert tips and tricks to take brag-worthy portraits, action shots, and close-ups - in a flash. No matter your subject, you'll get all the know-how and instruction you need to get the picture-perfect shot every time. Get started with automatic and creative modes; Take full control of exposure to achieve better results; Understand the settings that control light and color; Follow steps on properly using flash. Even if you've never picked up a DSLR camera, this friendly guide makes it fast and easy to unlock all your powerful Canon has to offer! ...
Samsung Galaxy S9 For Dummies
Samsung Galaxy S9 For Dummies

Samsung Galaxy S9 For Dummies documents all the features and capabilities of this popular smartphone, approaching them from the point of view of a user who is perhaps a bit baffled by the documentation and online support that comes with the phone. All aspects of the device are covered, from setup and configuration, to extensive use of the new features and capabilities. Whether you're looking for approachable guidance on the basics like texting, e-mailing, and accessing the internet, or more advanced topics like downloading apps, synching with a PC, and expanding the phone's potential with new software releases, this trusted resource covers it all. Take pictures, watch movies, and record videos; Use maps and navigation; Stay connected on social networking sites; Make sense of software updates. You'll want to keep this book close by, referring to it often as you explore the features and functions of your new Samsung Galaxy S9 smartphone. ...
Machine Learning Projects for Mobile Applications
Machine Learning Projects for Mobile Applications

Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so. The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google's ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, com ...
SAFe 4.5 Distilled, 2nd Edition
SAFe 4.5 Distilled, 2nd Edition

To succeed in today's adapt-or-die marketplace, businesses must be able to rapidly change the way they create and deliver value to their customers. Hundreds of the world's most successful companies - including Intel, Capital One, AstraZeneca, Cisco, and Philips - have turned to the Scaled Agile Framework (SAFe) to achieve agility at scale and maintain a competitive edge. SAFe 4.5 Distilled: Applying the Scaled Agile Framework for Lean Enterprises explains how adopting SAFe can quickly improve time to market and increase productivity, quality, and employee engagement. In this book, you will. Understand the business case for SAFe: its benefits, the problems it solves, and how to apply it; Get an overview of SAFe across all parts of the business: team, program, value stream, and portfolio; Learn why SAFe works: the power of SAFe's Lean-Agile mindset, values, and principles; Discover how systems thinking, Agile development, and Lean product development form the underlying basis for S ...
Programming Skills for Data Science
Programming Skills for Data Science

Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you've uncovered. Step by step, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything's focused on real-worl ...
Data Science Algorithms in a Week, 2nd Edition
Data Science Algorithms in a Week, 2nd Edition

Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged to gain new knowledge from existing data as well. Data Science Algorithms in a Week addresses all problems related to accurate and efficient data classification and prediction. Over the course of seven days, you will be introduced to seven algorithms, along with exercises that will help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. This book also guides you in predicting data based on existing trends in your dataset. This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest ...
Pro .NET Memory Management
Pro .NET Memory Management

Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write software that interacts with it efficiently and effectively. Pro .NET Memory Management is your comprehensive guide to writing better software by understanding and working with memory management in .NET. Thoroughly vetted by the .NET Team at Microsoft, this book contains 25 valuable troubleshooting scenarios designed to help diagnose challenging memory problems. Readers will also benefit from a multitude of .NET memory management "rules" to live by that introduce methods for writing memory-aware code and the means for avoiding common, destructive pitfalls. Understand the theoretical underpinnings of automatic memory management; Take a deep dive into every as ...
Julia 1.0 Programming Cookbook
Julia 1.0 Programming Cookbook

Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases ...
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