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Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges.

Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering,...

Practical Docker with Python: Build, Release and Distribute your Python App with Docker
Practical Docker with Python: Build, Release and Distribute your Python App with Docker
Learn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker.

After an introduction to Containers and Docker you'll be guided through Docker installation and...
Practical Bot Development: Designing and Building Bots with Node.js and Microsoft Bot Framework
Practical Bot Development: Designing and Building Bots with Node.js and Microsoft Bot Framework
Explore the concept of bots and discover the motivation behind working with these new apps with messaging platforms. This book is an accessible resource teaching the basic concepts behind bot design and implementation. Each chapter builds on previous topics and, where appropriate, real working code is shown that implements the concepts. By...
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...
MATLAB Machine Learning Recipes: A Problem-Solution Approach
MATLAB Machine Learning Recipes: A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem.

All code in MATLAB Machine Learning Recipes:  A Problem-Solution Approach is executable....
Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement...
Program the Internet of Things with Swift for iOS: Learn How to Program Apps for the Internet of Things
Program the Internet of Things with Swift for iOS: Learn How to Program Apps for the Internet of Things

With this book, you will learn how to build apps and hardware for the Internet of Things, using Apple's native APIs and industry standard protocols like Bluetooth and HTTPS. You'll start out learning how to access the sensors on the iPhone, move on to building your own accessories using the Arduino and Raspberry
...
Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual...
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...
Ruby Data Processing: Using Map, Reduce, and Select
Ruby Data Processing: Using Map, Reduce, and Select
Gain the basics of Ruby’s map, reduce, and select functions and discover how to use them to solve data-processing problems. This compact hands-on book explains how you can encode certain complex programs in 10 lines of Ruby code, an astonishingly small number. You will walk through problems and solutions which are effective...
Beginning Blockchain: A Beginner's Guide to Building Blockchain Solutions
Beginning Blockchain: A Beginner's Guide to Building Blockchain Solutions

Understand the nuts and bolts of Blockchain, its different flavors with simple use cases, and cryptographic fundamentals. You will also learn some design considerations that can help you build custom solutions.

Beginning Blockchain is a beginner’s guide to understanding the core concepts of...

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