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With the rise of drone utility, the rise of DIY projects has significantly increased. Programmers are rapidly moving from traditional application programming to developing exciting multi-utility projects. This book's sole motto is to teach you to build industry-level drones with Arduino and ESP8266.
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Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. This book empowers you by showing you ways to use R to generate professional an
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Keras is a high-level neural network library written in Python that runs on top of either Theano or TensorFlow. With this book, you’ll learn the basics of Keras in a highly practical way and understand how this minimal, highly modular framework runs on both CPU and GPU, allowing you to put your ideas into action in the shortest possible time
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SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) is a cloud-based BI platform being delivered under SaaS terms. It is a business intelligence, planning, and predictive cloud-based application, which helps users blend data from different sources, create compelling data visualization, run ad hoc reporting, and more.
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Quantum computing may change everything we know about computing. Dancing with Qubits is a quantum computing textbook that explains how quantum computing works in detail, and discusses the implications it has for computer applications of the future.
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This book shows how to build intelligent applications to solve business needs. Several paradigms of AI are covered, including deep learning, natural language processing, planning, and logic programming. Each project is developed with a business goal in mind and care is taken to address deployment and evaluation issues. Dr. Joshua Eckroth focuses on
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Data science and machine learning are some of the top buzzwords in the technical world today. A re-surging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. Through this book, you will learn to apply the concepts of mach
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This book teaches six specific steps needed to implement predictive analytics using R. It also teaches how team collaboration is critical and how it increases the chances of implementing a successful model. The book uses cases from healthcare, marketing, and government to build practical skills. Big Data is also covered, in this book, which will ex
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Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues develo
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Machine learning allows models or systems to learn without being explicitly programmed. You will see how to use the best of libraries support such as scikit-learn, Tensorflow and much more to build efficient smart systems.
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Continuous Delivery (CD) and DevOps are fast establishing themselves as the next big-ticket investment in the world of software delivery. Delivering quality software can be very painful and expensive. This book will help you demystify what it takes to effectively adopt Continuous Delivery (CD) and DevOps to add value and ease the pain.
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This book introduces the core concepts of deep learning. Get implementation and research details on cutting-edge architectures and apply advanced concepts to your own projects. Develop your knowledge of deep neural networks through hands-on model building and examples of real-world data collection.
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Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering.
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Odoo continues to gain momentum throughout the world in regards to providing the best platform for open source ERP installations. With this practical guide, you will cover all the new features that Odoo 11 has to over to build and customize business applications.
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Odoo 12 Development Essentials is a fast-paced guide, exploring all the new features that Odoo 12 offers to build and customize business applications. This will help you to develop your skills to build highly complex, more performant business applications in every domain you choose.
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An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. This book is for people who are looking to create fully featured desktop applications to gain additional business insights in the workplace. It also includes features added recently to Qlik Sense such as Aggr and Data stories.
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This book demonstrates how to use deep Learning in R for machine learning, image classification, and natural language processing. It covers topics such as convolutional networks, recurrent neural networks, transfer learning and deep learning in the cloud. By the end of this book, you will be able to apply deep learning to real-world projects.
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This book will uncover the new features in Splunk 7 along with the best practices. You will learn to build navigable search operations, perform intuitive statistical analysis and design visually appealing dashboards for your IT infrastructure. With practical scenarios, you'll be able to design cohesive Splunk apps and deploy it to Splunk cloud.
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Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications. Odoo 11 comes with advances made on Usability, Speed, Design, and Mobile.
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Excel in the CISA exam with this guide, covering IT governance, systems development, operations, and asset protection. The book includes practical examples and over 1000 targeted practice test questions to prepare you for the CISA exam.
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This book improves your API development skills by enhancing your Salesforce expertise, demonstrating how to integrate MuleSoft with Salesforce and unlock its full potential.
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Master calculus fundamentals essential for AI and machine learning. This guide covers derivatives, integrals, limits, and multivariable calculus, emphasizing applications in neural networks, optimization, and data science techniques.
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A detailed introduction to machine learning and Python, blending theoretical concepts with hands-on applications, empowering readers to tackle data science challenges.
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A comprehensive guide to NLP with Python, covering text processing, feature engineering, language modeling, chatbots, and real-world applications. Includes practical exercises and projects to apply cutting-edge NLP techniques.
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Master deep learning with TensorFlow, Keras, and PyTorch. Explore neural networks, CNNs, RNNs, Transformers, and GANs through theory, practical exercises, and real-world applications. Learn to deploy AI models on cloud and edge devices with ease.
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Deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems with structured guidance. Gain the confidence to engage with advanced ML literature and tailor algorithms to meet your project requirements.
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Master NLP through practical recipes in this second edition of Python Natural Language Processing Cookbook that expands on data preparation and modeling, and delves into transformer models, GPT-4, NLU, and XAI for advanced NLP tasks.
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Master essential data concepts and Azure services with this comprehensive guide packed with practical examples, exam tips, flashcards, and mock exams to prepare you to confidently take the DP-900 exam.
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This comprehensive guide covers key topics such as Microsoft Entra ID implementation, authentication and access management, external user management, and hybrid identity solutions, providing practical insights and techniques for SC-300 exam success.
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Achieve data engineering excellence with this comprehensive guide. Learn essential best practices, design patterns, and real-world use cases to architect robust, cost-effective data solutions in the cloud.
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Learn how applied graph deep learning crafts intelligent systems by decoding data's interconnected nature with modern deep learning and see how sophisticated graph-based models yield precision, revealing fresh insights across diverse domains.
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If you're interested in becoming a data analyst, but don't know where to start, then Becoming a Data Analyst, the ultimate guide to mastering data analysis techniques, is for you. In this book, you'll get step-by-step guidance, real-world examples, hands-on exercises, and plenty of in-depth explanations of fundamental concepts that will help you ta
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This book offers practical guidance on managing data as a product, drawing from real-world experience to empower you to implement your own data product-centric approach.
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This book is for executives without a formal machine learning education who need to make complex decisions about data science. In this book, you'll learn the fundamentals of data science and managing data teams to become an effective data leader.
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The book contains the most common as well as state-of-the-art methods in machine learning for time-series to take your understanding of time series to a new level. In addition to these comprehensive explanations, there are plenty of real-life examples that every data scientist and analyst would have encountered, if not in their job, then in a job i
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Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.
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Ideal for data enthusiasts, this concise guide helps you get a good grasp of causal inference in R with tutorials, practical approaches, and real-world case studies to enhance your understanding of advanced statistical methods for better decisions.
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Python Feature Engineering Cookbook, Third Edition, walks you through tools and methods to craft powerful features from tabular, transactional, and time-series data for robust machine learning models.
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This book provides up-to-date methods for data cleaning and preparation using Python. You'll learn effective techniques for solving the challenges you face, exploring how to create high-quality data products based on well-formatted and cleaned data.
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Master Retrieval-Augmented Generation (RAG), the most popular generative AI tool, to unlock the full potential of your data. This book enables you to develop highly sought-after skills as corporate investment in generative AI soars.
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Apache Spark for Machine Learning teaches you to use Spark for big data processing and solving future big data challenges.
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This book will help you explore the implementation of various well-known machine learning algorithms work with various C++ frameworks and libraries. You'll learn basic-to-advanced machine learning concepts with practical and easy-to-follow examples.
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XGBoost for Regression Predictive Modelling and Time Series Analysis will help you get a practical understanding of the XGBoost algorithm by taking a hands-on approach, from installing the python package through to model building and deployment.
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Transform your business with Power Apps, Power Automate, Power BI, and Copilot Studio. This guide covers automation, AI insights, governance, and security, helping leaders, IT pros, and analysts build scalable, low-code enterprise solutions.
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In this book, you'll learn the principles of quantum computing and machine learning, focusing on practical algorithms for NISQ systems. This book shows you how to leverage hybrid quantum-classical approaches to solve real-world financial challenges.
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Power BI provides several options to solve common data problems, and designing the correct solution for each scenario can be a daunting task. This book makes it easier by guiding you through designing optimal solutions using Power BI.
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This in-depth guide to Microsoft Fabric helps you confidently pass the DP-600 exam. You'll learn to design, implement, and optimize data analytics solutions; master data exploration, SQL, and advanced techniques; and tackle real-world challenges.
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This book offers a complete guide to time series analysis with Apache Spark and Databricks, covering essential concepts and advanced techniques including Generative AI to equip readers with skills for real-world challenges across industries.
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Amazon Redshift Cookbook provides in-depth guidance on utilizing AWS's Amazon Redshift. This book covers its architecture, administration, query optimization, ETL, security, scaling, and using generative AI for scalable analytics.
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Advance your Tableau knowledge beyond the basics, streamline dashboard performance, tackle advanced geospatial challenges, and unlock API potential while fortifying your corporate data infrastructure with proven best practices.
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With Learning QGIS, you can understand how to easily execute geoprocessing tasks. From developing visually appealing maps to creating, visualizing, and editing spatial data, you’ll be able to do all this and much more using QGIS.
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This second edition provides focused and practical knowledge to help you to build algorithms and crunch your data. You'll learn how to apply machine learning methods to deal with common tasks, discover the analytical tools that you need to gain insights from complex data, and choose the correct algorithm for your specific needs.
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Learning R Programming will take you through the language in a step-by-step manner. From basic types and data structures to the challenges of programming in R, this book covers all this and more!
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This book gets you up to speed with data science using Python. You’ll cover everything from manipulating and exploring data for solving data science problems through to optimizing your machine learning models for optimal performance. The book helps you learn effectively with the help of expert tips and techniques.
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Redis Essentials is a fast-paced guide that teaches the fundamentals on data types, explains how to manage data through commands, and shares experiences from big players in the industry.
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