“…What you will learn Use Python to perform analytics functions on your data Understand the role of databases and how to effectively pull data from databases Perform data preprocessing steps defined by your analytics goals Recognize and resolve data integration challenges Identify the need for data reduction and execute it Detect opportunities to improve analytics with data transformation Who this book is for This book is for junior and senior data analysts, business intelligence professionals, engineering undergraduates, and data enthusiasts looking to perform preprocessing and data cleaning on large amounts of data. …”

“…It had in fact evolved over the years from a relatively benign public security organization into a full-fledged political intelligence apparatus devoted to apprehending purveyors of "dangerous thought" throughout the empire. …”

“…Greg has an illustrious military record, including earning the prestigious Knowlton Award, which recognizes individuals who have contributed significantly to the promotion of Army Intelligence. Greg has provided expert interrogation analysis for all major networks and many cable television channels, as well as NPR. …”

“…Next, it will then focus on Terminator, the ultimate terminal, and vim, one of the most intelligent console editors. Futhermore, the readers will see how they can increase their command line productivity by using sed, find, tmux, network, autoenv. …”

“…What You Will Learn Build an enterprise-level data lake using the relevant big data technologies Understand the core of the Lambda architecture and how to apply it in an enterprise Learn the technical details around Sqoop and its functionalities Integrate Kafka with Hadoop components to acquire enterprise data Use flume with streaming technologies for stream-based processing Understand stream- based processing with reference to Apache Spark Streaming Incorporate Hadoop components and know the advantages they provide for enterprise data lakes Build fast, streaming, and high-performance applications using ElasticSearch Make your data ingestion process consistent across various data formats with configurability Process your data to derive intelligence using machine learning algorithms In Detail The term "Data Lake" has recently emerged as a prominent term in the big data industry. …”

“…Tableau is one of the fastest growing and industry leading Business Intelligence platforms that empowers business users to easily visualize their data and discover insights at the speed of thought. …”

“…What You Will Learn Get to know the five most important steps of data science Use your data intelligently and learn how to handle it with care Bridge the gap between mathematics and programming Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results Build and evaluate baseline machine learning models Explore the most effective metrics to determine the success of your machine learning models Create data visualizations that communicate actionable insights Read and apply machine learning concepts to your problems and make actual predictions In Detail Need to turn your skills at programming into effective data science skills? …”

“…In Detail If you're aware of the buzz surrounding the terms such as "machine learning," "artificial intelligence," or "deep learning," you might know what neural networks are. …”

“…You will also get exposure to many elements of game development including creating user interfaces, artificial intelligence, and writing code with networked play in mind. …”

“…Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. …”

“…Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. …”

“…What You Will Learn Integrate different embedded microcontrollers and development boards like Arduino, ESP8266, Particle Photon and Raspberry Pi 3, creating real life solutions for day to day tasks and home automation Create your own magic mirror that lights up with useful information as you walk up to it Create a system that intelligently decides when to water your garden and then goes ahead and waters it for you Use the Wi-fi enabled Adafruit ESP8266 Huzzah to create your own networked festive display lights Create a simple machine learning application and build a parking automation system using Raspberry Pi Learn how to work with AWS cloud services and connect your home automation to the cloud Learn how to work with Windows IoT in Raspberry Pi 3 and build your own Windows IoT Face Recognition door locking system In Detail Raspberry Pi 3 Home Automation Projects addresses the challenge of applying real-world projects to automate your house using Raspberry Pi 3 and Arduino. …”

“…These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. …”

“…What you will learn Build your own AI voicebots and chatbots Use familiar appliances like Alexa, Google Home, and Facebook Messenger Master the elements of conversational user interfaces Key design techniques to make your bots successful Use tone analysis to deepen UI conversation for humans Create voicebots and UIs designed for real-world situations Insightful case studies in finance, travel, and e-commerce Cutting-edge technology and insight into the future of AI bots Who this book is for This book is for you, if you want to deepen your appreciation of UI and how conversational UIs - driven by artificial intelligence - are transforming the way humans interact with computers, appliances, and the everyday world around us. …”

“…At the start, you’ll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. We’ll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse. …”

“…General education on SEO and organic content marking Understanding which search engines to focus on How SEO and content can solve business problems Building a new brand through SEO and content Identifying who your true competitors are Which Analytics reports you should be regularly monitoring How to establish research channels that can inform your business initiatives Building personas and audience purchase journeys Prioritizing locations, demographics and countries What needs to be in place to maximize free traffic levels to your brands assets Understanding all the key tasks and attributes for an effective content program Data-Driven Content: Detailed instruction on how to use data to inform content responses, ideas and asset types Understanding different content asset types from standard items like articles to highly advanced assets like films, podcasts, white papers and other assets Calculating ROI for SEO and Content initiatives Small business marketing via content and SEO and having the right small business mindset for success Website and content design considerations (accessibility, principles of marketing) Optimizing for the future and looking at other search venues Amazon Optimization YouTube Optimization App Store Optimization (ASO) Podcast Optimization Optimizing Blogs and other off-site content Prepping and optimizing for the newest technologies, including voice search, artificial intelligence, and content discovery vehicles How to build an optimization path and programs that drive results and manage risks In addition to learning the most effective processes to structure your SEO, you will have access to bonus materia..…”

“…You'll get best practices for integrating your Oracle Data Miner models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise. Install and configure Oracle Data Miner for Oracle Database 11 g Release 11.2 and Oracle Database 12 c Create Oracle Data Miner projects and workflows Prepare data for data mining Develop data mining models using association rule analysis, classification, clustering, regression, and anomaly detection Use data dictionary views and prepare your data using in-database transformations Build and use data mining models using SQL and PL/SQL packages Migrate your Oracle Data Miner models, integrate them into dashboards and applications, and run them in parallel Build transient data mining models with the Predictive Queries feature in Oracle Database 12 c…”

“…In order to provide effective services and to make smarter and more intelligent decisions from these huge volumes of data, enterprises use big-data analytics. …”

“…Whether you use a mouse, touchpad, or touch screen, Start screen makes work and play easier. Instant, Intelligent Search Want to find an app, setting, or file? …”

“…Alongside his work teaching, writing, and developing large-scale analytics with a focus on statistical machine learning, he is finishing his PhD at the University of Maryland where he studies machine learning and artificial intelligence. Jenny Kim, a software engineer in the San Francisco Bay Area, develops, teaches, and writes about big data analytics applications and specializes in large-scale, distributed computing infrastructures and machine-learning algorithms to support recommendations systems…”