Big data
James D. Miller
IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson.The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations.By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience.
Jagjeet Singh Makhija, Charles Odunukwe
The DP-600 exam tests your ability to design and implement analytics solutions using Microsoft Fabric, including planning data analytics environments, managing data integration and security, and optimizing performance. Written by two Microsoft specialists with over three decades of combined experience, this book will help you confidently prepare for the DP-600 exam by teaching you the skills that are essential for effectively implementing and designing analytics solutions.You’ll explore data analytics in Microsoft Fabric in detail and understand foundational topics such as data exploration, SQL querying, and data transformation, alongside advanced techniques such as semantic model optimization, performance tuning, and enterprise-scale model design. The book addresses strategic planning, data integration, security, scalability, and the complete project lifecycle, including version control, deployment, and continuous improvement. You’ll also get to grips with practical SQL integration with Microsoft Fabric components, with mock exams to help you reinforce what you’ve learned.By the end of this book, you’ll be able to plan, implement, and optimize analytics solutions using Microsoft Fabric, and you'll be well-equipped with the practical skills needed to tackle real-world data challenges and pass the DP-600 exam.
Andrew Bell, Francisco Arturo Viveros, Sander Rensen,...
Implementing Oracle API Platform Cloud Service moves from theory to practice using the newest Oracle API management platform. This critical new platform for Oracle developers allows you to interface the complex array of services your clients expect in the modern world.First, you'll learn about Oracle’s new platform and get an overview of it, then you'll see a use case showing the functionality and use of this new platform for Oracle customers. Next, you’ll see the power of Apiary and begin designing your own APIs. From there, you’ll build and run microservices and set up the Oracle API gateways. Moving on, you’ll discover how to customize the developer portal and publish your own APIs. You’ll spend time looking at configuration management on the new platform, and implementing the Oauth 2.0 policy, as well as custom policies. The latest finance modules from Oracle will be examined, with some of the third party alternatives in sight as well.This broad-scoped book completes your journey with a clear examination of how to transition APIs from Oracle API Management 12c to the new Oracle API Platform, so that you can step into the future confidently.
Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
Ganapati Hegde, Kaushik Solanki
Qlik Sense is a leading platform for business intelligence (BI) solutions. Qlik Sense helps organizations in making informed decisions based on the data they have.This book will teach you how to effectively use Qlik for optimum customer satisfaction. You will undergo a metamorphosis from a developer to a consultant who is capable of building the most suitable BI solutions for your clients. The book will take you through several business cases – this will give you enough insight to understand the needs of the client clearly and build a BI solution that meets or exceeds their expectations. Starting from the pre-project activities, you will go to the actual execution of the project, the implementation, and even maintenance. This book will give you all the information you need - from the strategy to requirement gathering to implementing BI solutions using Qlik Sense. The book will empower you to take the right decisions in tricky and diffi cult situations while developing analytics and dashboards.
James D. Miller
Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects
Liyanapathirannahelage H Perera
MapReduce is a technology that enables users to process large datasets and Hadoop is an implementation of MapReduce. We are beginning to see more and more data becoming available, and this hides many insights that might hold key to success or failure. However, MapReduce has the ability to analyze this data and write code to process it.Instant MapReduce Patterns – Hadoop Essentials How-to is a concise introduction to Hadoop and programming with MapReduce. It is aimed to get you started and give you an overall feel for programming with Hadoop so that you will have a well-grounded foundation to understand and solve all of your MapReduce problems as needed.Instant MapReduce Patterns – Hadoop Essentials How-to will start with the configuration of Hadoop before moving on to writing simple examples and discussing MapReduce programming patterns.We will start simply by installing Hadoop and writing a word count program. After which, we will deal with the seven styles of MapReduce programs: analytics, set operations, cross correlation, search, graph, Joins, and clustering. For each case, you will learn the pattern and create a representative example program. The book also provides you with additional pointers to further enhance your Hadoop skills.
Inteligentna sieć. Algorytmy przyszłości. Wydanie II
Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko
Określenie „inteligentna sieć” może przywodzić na myśl futurystyczną wizję maszyn przejmujących kontrolę nad światem i niszczących ludzkość, jednak w rzeczywistości jest związane z rozwojem technologii. Związane jest z powstawaniem oprogramowania, które potrafi się uczyć i reagować na zachowania użytkowników. Oznacza też projektowanie i implementację inteligencji maszynowej. Inteligentna sieć rozwija się tu i teraz — znajomość zagadnień uczenia maszynowego i budowy inteligentnych algorytmów staje się bardzo potrzebna inżynierom oprogramowania! Niniejsza książka jest przeznaczona dla osób, które chcą projektować inteligentne algorytmy, a przy tym mają podstawy z zakresu programowania, matematyki i statystyki. Przedstawiono tu schematy projektowe i praktyczne przykłady rozwiązań. Opisano algorytmy, które przetwarzają strumienie danych pochodzące z internetu, a także systemy rekomendacji i klasyfikowania danych za pomocą algorytmów statystycznych, sieci neuronowych i uczenia głębokiego. Mimo że przyswojenie tych zagadnień wymaga wysiłku, bardzo ułatwi implementację nowoczesnych, inteligentnych aplikacji! W tej książce między innymi: wprowadzenie do problemów algorytmów inteligentnych systemy rekomendacji i filtrowanie kolaboratywne wykorzystanie regresji logistycznej do wykrywania oszustw uczenie głębokie, uczenie na żywo i renesans sieci neuronowych podejmowanie decyzji perspektywy inteligentnej sieci Inteligentny algorytm wyławia perły w strumieniach danych! Dr Douglas McIlwraith jest ekspertem w dziedzinie uczenia maszynowego. Zajmuje się analizą danych w londyńskiej agencji reklamowej. Prowadził badania w dziedzinach systemów rozproszonych, robotyki i zabezpieczeń. Dr Haralambos Marmanis jest pionierem w obszarze technik uczenia maszynowego w rozwiązaniach przemysłowych. Od 25 lat rozwija profesjonalne oprogramowanie. Dmitry Babenko projektuje złożone systemy dla firm z takich branż, jak bankowość, ubezpieczenia, zarządzanie łańcuchem dostaw i analityka biznesowa.
Santanu Pattanayak, Manohar Swamynathan
This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python.The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI.By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle.