“…This project guide provides step-by-step instructions that enable anyone to use this new, low-cost platform in some fascinating robotics projects. By the time you are finished, your projects will be able to see, speak, listen, detect their surroundings, and move in a variety of amazing ways. …”

“…What You Will Learn Apply statistical models in Julia for data-driven decisions Understanding the process of data munging and data preparation using Julia Explore techniques to visualize data using Julia and D3 based packages Using Julia to create self-learning systems using cutting edge machine learning algorithms Create supervised and unsupervised machine learning systems using Julia. …”

“…What You Will Learn Explore classification algorithms and apply them to the income bracket estimation problem Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Explore data visualization techniques to interact with your data in diverse ways Find out how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Analyze stock market data using Conditional Random Fields Work with image data and build systems for image recognition and biometric face recognition Grasp how to use deep neural networks to build an optical character recognition system In Detail Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. …”

“…Includes Lucy Wyman's (Puppet) primer on blockchain technology and Mack Hendricks's (CEO, Flyball) session on using blockchain technology to stop fraudulent calls on telephone caller ID systems. …”

“…Models and Methods sessions, including Amy Heineike's (Primer) review of NLP algorithms; Alan Mosca (University of London) on how to harden and improve deep learning models with targeted ensembles; and Vitaly Kuznetsov (Google) and Zelda Mariet (MIT) on sequence-to-..…”

“…What You Will Learn Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Increase predictive accuracy with deep learning and scalable data-handling techniques Work with modern state-of-the-art large-scale machine learning techniques Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. …”

“…This course starts with an introduction to version control systems before you delve deeply into the essentials of Git. This serves as a primer for the topics to follow such as branching and merging, creating and managing a GitHub personal repository, and fork and pull requests. …”

“…Leverage frontend development skills to build impressive iOS and Android applications with React Native About This Book Apply flexbox to get layout and build rich animations that bring your React Native application to life Integrate third-party libraries and develop customized components that run natively on iOS and Android platforms Combine React Native with Redux, Redux middleware, and a remote API to build scalable data-driven applications Who This Book Is For This book is for anyone who wants to build cross-platform native mobile applications using only JavaScript and the React Native framework. …”

Tabla de Contenidos: “…-- Measuring a network -- Degree of a network -- Diameter of a network -- Walks, paths, and trails in a network -- Components of a network -- Centrality of a network -- Closeness centrality -- Degree centrality -- Betweenness centrality -- Other measures of centrality -- Representing graph data -- Adjacency matrix -- Edge lists and adjacency lists -- Differences between graph data structures -- Importing data into a graph structure -- Adjacency list format -- Edge list format -- GEXF and GraphML -- GDF -- Python pickle -- JSON -- JSON node and link series -- JSON trees -- Pajek format -- A real project -- Exploring the data -- Generating the network files -- Understanding our data as a network -- Generating simple network metrics -- Playing with the parameters of a network -- Analyzing subgraphs -- Analyzing cliques and centrality in the subgraphs -- Looking for change over time -- Summary -- Sentiment Analysis -- What is sentiment analysis? …”

“…Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. In this book, you'll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. …”

“…This book is for you are interested in doing more data analysis so that the management can make timely and accurate business decisions. What You Will Learn Grasp the fundamental MDX concepts, features, and techniques Work with sets Work with Time dimension and create time-aware calculations Make analytical reports compact, concise, and efficient Navigate cubes Master MDX for reporting with Reporting Services (new) Perform business analytics Design efficient cubes and efficient MDX queries Create metadata-driven calculations (new) Capture MDX queries and many other techniques In Detail If you're often faced with MDX challenges, this is a book for you. …”

“…For 40 years, The Ken Blanchard Companies® has helped thousands of organizations become more people oriented, customer centered, performance driven, and socially responsible. Now, in this fully updated third edition of Leading at a Higher Level , Blanchard and his colleagues bring together all they’ve learned about world-class leadership, including brand new chapters on building a high-trust workplace, collaborating for high performance, driving success through mentoring, and leading at the organizational level. …”

“…Simplify the management of reports by significantly reducing the number of report definitions that are required through the use of parameter driven reports. Deliver data to users in many different formats, including directly into spreadsheets, or in boardroom-quality PDF format, or viewed from the browser in HTML. …”

Tabla de Contenidos: “…Counting the number of matches -- Verifying the correctness of the matches -- Extracting patterns -- Outputting the data to a new file -- Summary -- Chapter 6: Cleaning Numerical Data - An Introduction to R and RStudio -- Logistical overview -- Data -- Directory structure -- Installing R and RStudio -- Introducing R and RStudio -- Familiarizing yourself with RStudio -- Running R commands -- Setting the working directory -- Reading data -- The R dataframe -- R vectors -- Indexing R dataframes -- Finding the 2011 total in R -- Conducting basic outlier detection and removal -- Handling NA values -- Deleting missing values -- Replacing missing values with a constant -- Imputation of missing values -- Variable names and contents -- Summary -- Chapter 7: Simplifying Data Manipulation with dplyr -- Logistical overview -- Data -- File system setup -- Installing the dplyr and tibble packages -- Introducing dplyr -- Getting started with dplyr -- Chaining operations together -- Filtering the rows of a dataframe -- Summarizing data by category -- Rewriting code using dplyr -- Summary -- Chapter 8: Getting Data from the Web -- Logistical overview -- Filesystem setup -- Installing the requests module -- Internet connection -- Introducing APIs -- Using Python to retrieve data from APIs -- Using URL parameters to filter the results -- Summary -- Chapter 9: Working with Large Datasets -- Logistical overview -- System requirements -- Data -- File system setup -- Installing MongoDB -- Planning out your time -- Cleaning up -- Understanding computer memory -- Understanding databases -- Introducing MongoDB -- Interfacing with MongoDB from Python -- Summary -- Index…”

“…What You Will Learn Install Community Tools on Pentaho; and understand the necessary concepts and considerations when creating an exciting dashboard design Get data from many different Pentaho datasources and deliver it in different formats (CSV, XLS, XML, or JSON) Use the Community Data Access (CDA) as the data abstraction layer and understand the concepts in the Community Dashboard Framework (CDF) Create a Community Dashboard Editor (CDE) dashboard and make the most of the main components Create and make use of widgets and use duplicate components to have data-driven sections on the dashboard Customize and create interaction between all components, including charts, using the Community Charts Components Create and embed dashboards in a better and new way Create plugins and make use of parameters inside Pentaho without writing code In Detail Pentaho and CTools are two of the fastest and most rapidly growing tools for practical solutions not found in any other tool available on the market. …”

“…Successfully create and manage your Hyper-V environment without any of the marketing fluff. This book's lab-driven, hands-on approach will get you up and running as quickly and efficiently as possible. …”

“…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. …”

“…But we now live in an interconnected world driven by mass data creation and consumption where data is no longer rows and columns restricted to a spreadsheet, but an organic and evolving asset in its own right. …”

“…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..…”

“…What you will learn Use Python libraries to interact with your network Integrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devices Leverage existing Flask web frameworks to construct high-level APIs Learn how to build virtual networks in the AWS & Azure Cloud Learn how to use Elastic Stack for network data analysis Understand how Jenkins can be used to automatically deploy changes in your network Use PyTest and Unittest for Test-Driven Network Development in networking engineering with Python Who this book is for Mastering Python Networking, Third edition ..…”