“…What You Will Learn Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark Build a recommendation engine that scales with Spark Find out how to build unsupervised clustering systems to classify data in Spark Build machine learning systems with the Decision Tree and Ensemble models in Spark Deal with the curse of high-dimensionality in big data using Spark Implement Text analytics for Search Engines in Spark Streaming Machine Learning System implementation using Spark In Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. …”

“…"Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information Key Features Turn your designs into working software by learning the Python syntax Write robust code with a solid understanding of Python data structures Understand when to use the functional or the OOP approach Book Description This Learning Path helps you get comfortable with the world of Python. …”

“…What you will learn Grasp monitoring fundamentals and implement them using Prometheus Discover how to extract metrics from common infrastructure services Find out how to take full advantage of PromQL Design a highly available, resilient, and scalable Prometheus stack Explore the power of Kubernetes Prometheus Operator Understand concepts such as federation and cross-shard aggregation Unlock seamless global views and long-term retention in cloud-native apps with Thanos Who this book is for If you're a software developer, cloud administrator, site reliability engineer, DevOps enthusiast or system admin looking to set up a fail-safe monitoring and alerting system for sustaining infrastructure security and performance, this book is for you. …”

“…Build effective regression models in R to extract valuable insights from real data About This Book Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic Regression - this book covers all regression techniques and their implementation in R A complete guide to building effective regression models in R and interpreting results from them to make valuable predictions Who This Book Is For This book is intended for budding data scientists and data analysts who want to implement regression analysis techniques using R. …”

“…It considers deep-web social media platforms and platform-specific search tools, detailing such concepts as concept mapping, entity extraction tools, and specialist search syntax (Google kung fu). …”

“…Develop iterative and efficient graph algorithms using message aggregation and Pregel abstraction Extract subgraphs and use it to discover common clusters Analyze graph data and solve various data science problems using real-world datasets. …”

“…You will learn the end-to-end process of data ingestion from varied sources, metadata extraction, pre-processing and transformation of content, various search components, query parsers and other advanced search capabilities. …”

“…It would be very helpful if you understand the basics of image processing and computer vision, but no prior experience is required What You Will Learn Identify and install all the elements needed to start building vision-aware Android applications Explore image representation, colored and gray scale Recognize and apply convolution operations and filtering to deal with noisy data Use different shape analysis techniques Extract and identify interest points in an image Understand and perform object detection Run native computer vision algorithms and gain performance boosts In Detail Starting from the basics of computer vision and OpenCV, we'll take you all the way to creating exciting applications. …”

“…What You Will Learn Create user-friendly, responsive reports with drill-throughs, bookmarks, and tool tips Construct a star schema with relationships, ensuring that your analysis will be both accurate and responsive Publish reports and datasets to the Power BI Service, enabling the report (and the dataset) to be viewed and used by your colleagues Extract data from a variety of sources, enabling you to leverage the data that your organization has collected and stored in a variety of sources Schedule data refreshes for published datasets so your reports and dashboards stay up to date Develop dashboards with visuals from different reports and streaming content…”

“…A partir d'aquest ampli context analitzem l'enfocament que El Comerç va donar al Baguazo, conflicte social que va costar la vida a 34 persones el 5 de juny del 2009, durant un enfrontament entre policies i indígenes, en què aquests darrers protestaven contra la decisió de l'expresident Alan García, d'intensificar l'activitat de les indústries extractives a l'Amazònia, per considerar que aquesta política econòmica perjudicava els seus drets culturals i territorials.Finalment, hem adaptat els cinc filtres que Noam Chomsky i Edward Herman van emprar per analitzar com l'elit nord-americana utilitza a la premsa del seu país, en favor dels seus propis interessos; amb l'objectiu d'integrar una perspectiva polític-econòmica a la investigació, que permeti comprendre els interessos i les relacions de poder subjacents a l'enfocament etnocèntric que la premsa peruana, en particular El Comerç, va donar al Baguazo…”
Accés lliure

“…Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. …”

“…His clear presentation of this information helps those applying these advanced technologies to extract the most benefit for their organizations and products, not only for the intended real-time embedded product, but also for products whose quality of performance, while not critical, is nevertheless of interest.” — Thérèse M. …”

“…Recipe 2 Extracting Your Database in Scripts Recipe 3 Using Version Control for Your Database Recipe 4 Automating Database or Schema Creation Recipe 5 Creating Objects in Your Database Recipe 6 Removing Database Objects Recipe 7 Removing Your Database Recipe 8 Using the Build Property Files Recipe 9 Re-Creating Your Application Database for Any Build Recipe 10 Making It Easy for New Developers to Join the Team Recipe 11 Integrating on Every Check-In Recipe 12 Naming Upgrade Scripts Recipe 13 Automating Database Change Script Creation Recipe 14 Implementing Database Version Checking Recipe 15 Sending Upgrades to Customers Sample Code Further Reading About..…”

“…By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. …”

“…Get practical hands-on experience of various sections of Informatica PowerCenter, such as navigator, toolbar, workspace, control panel, and so on Leverage basic and advanced utilities, such as the debugger, target load plan, and incremental aggregation to process data Implement data warehousing concepts such as schemas and SCDs using Informatica Migrate various components, such as sources and targets, to another region using the Designer and Repository Manager screens Enhance code performance using tips such as pushdown optimization and partitioning In Detail Informatica PowerCenter is an industry-leading ETL tool, known for its accelerated data extraction, transformation, and data management strategies. …”

“…What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. …”

“…Later, you'll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. …”

“…By the end of this book, you will have examined the data from various use cases, and have the skills you need to build financial models to extract the information required to make informed business decisions. …”

“…As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. …”

“…Skill Level Intermediate Learn How To Assess whether a microservice architecture is right for your organization Establish prerequisites for moving to microservices, including testing, automation, and continuous delivery Identify and decouple contexts using domain-driven design and refactoring techniques Extract your first microservice Who Should Take This Course Architects Tech leads Developers Course Requirements Exercises are in Java—prior knowledge is not required but may be beneficial. …”