Tabla de Contenidos: “…-- Exploring image captioning datasets -- Downloading the dataset -- Converting words into embeddings -- Image captioning approaches -- Conditional random field -- Recurrent neural network on convolution neural network -- Caption ranking -- Dense captioning -- RNN captioning -- Multimodal captioning -- Attention-based captioning -- Implementing a caption generation model -- Summary -- Chapter 4: Building GANs for Conditional Image Creation -- Introducing GANs -- The key is in the adversarial approach -- A cambrian explosion -- DCGANs -- Conditional GANs -- The project -- Dataset class -- CGAN class -- Putting CGAN to work on some examples -- MNIST -- Zalando MNIST -- EMNIST -- Reusing the trained CGANs -- Resorting to Amazon Web Service -- Acknowledgements -- Summary -- Chapter 5: Stock Price Prediction with LSTM -- Input datasets - cosine and stock price -- Format the dataset -- Using regression to predict the future prices of a stock -- Long short-term memory - LSTM 101 -- Stock price prediction with LSTM…”

Tabla de Contenidos: “…Neo4j high availabilityMachine #1 - neo4j-01.local; Instance #2 - neo4j-02.local; Instance #3 - neo4j-03.local; Configure Neo4j for Amazon clusters; Cloud deployment with Azure; Summary; Chapter 2: Querying and Indexing in Neo4j; The Neo4j interface; Running Cypher queries; Visualization of results; Introduction to Cypher; Cypher graph operations; Cypher clauses; More useful clauses; Advanced Cypher tricks; Query optimizations; Graph model optimizations; Gremlin - an overview; Indexing in Neo4j; Manual and automatic indexing; Schema-based indexing; Indexing benefits and trade-offs…”

Tabla de Contenidos: “…References -- Summary -- Chapter 5: Bayesian Regression Models -- Generalized linear regression -- The arm package -- The Energy efficiency dataset -- Regression of energy efficiency with building parameters -- Ordinary regression -- Bayesian regression -- Simulation of the posterior distribution -- Exercises -- References -- Summary -- Chapter 6: Bayesian Classification Models -- Performance metrics for classification -- The Naïve Bayes classifier -- Text processing using the tm package -- Model training and prediction -- The Bayesian logistic regression model -- The BayesLogit R package -- The dataset -- Preparation of the training and testing datasets -- Using the Bayesian logistic model -- Exercises -- References -- Summary -- Chapter 7: Bayesian Models for Unsupervised Learning -- Bayesian mixture models -- The bgmm package for Bayesian mixture models -- Topic modeling using Bayesian inference -- Latent Dirichlet allocation -- R packages for LDA -- The topicmodels package -- The lda package -- Exercises -- References -- Summary -- Chapter 8: Bayesian Neural Networks -- Two-layer neural networks -- Bayesian treatment of neural networks -- The brnn R package -- Deep belief networks and deep learning -- Restricted Boltzmann machines -- Deep belief networks -- The darch R package -- Other deep learning packages in R -- Exercises -- References -- Summary -- Chapter 9: Bayesian Modeling at Big Data Scale -- Distributed computing using Hadoop -- RHadoop for using Hadoop from R -- Spark - in-memory distributed computing -- SparkR -- Linear regression using SparkR -- Computing clusters on the cloud -- Amazon Web Services -- Creating and running computing instances on AWS -- Installing R and RStudio -- Running Spark on EC2 -- Microsoft Azure -- IBM Bluemix -- Other R packages for large scale machine learning -- The parallel R package…”

Tabla de Contenidos: “…-- What Lies Ahead -- Notes -- 2 When You're Tempted to Say No, Instead Say "Yes, We Can!" -- The Reshaping of Amazon6 -- Arnold Correia Said, "Yes, We Can!" Time After Time24 -- MOVE Guides Strays and Stumbles30 -- Lessons Learned for Times When You Yearn to Say, "Yes, We Can!" …”

Tabla de Contenidos: “…Linux und die zugeschweißte MotorhaubeUnity, Ihr Arbeitsplatz; Der Starter; Der Dash-Startbildschirm; So entfernen Sie die Suche bei Amazon; Eigene Lenses im Dash installieren; Das Panel; So schalten Sie das globale Menü ab; Die Benutzermenüs; Die Arbeitsfläche; Zwei Programme parallel auf einer Arbeitsfläche; Der persönliche Ordner; Drucker einrichten; Einen Scanner einrichten; Anwendungen nachinstallieren; Troubleshooting; Programme aus einer anderen Quelle installieren; Weitere Quellen im Software-Center einbinden; 4 Finetuning - Ubuntu wird eingerichtet…”

Tabla de Contenidos: “…; What You Need to Know About 4G; Understanding Android User Interface Options; HTC Sense; Samsung TouchWiz; Amazon Kindle Fire…”

Tabla de Contenidos: “…The Shanghai Brightness Number 3 Garment Factory6 The Long Race to the Bottom; Inventive Brits versus Thrifty Chinamen; Help Wanted: Docile and Desperate Preferred; 7 Sisters in Time; Docility on a Leash; Sure Beats the Farm; Amazon.com and Dell Arrive at the Mill; 8 The Unwitting Conspiracy; Writing the Rules of the Race; Activists Raise the Bottom, 1780---2008; Back at Georgetown, Bored Is Good; Bad for Boy Rats; Trade: Friend or Foe of the Planet?…”

Tabla de Contenidos: “…The ROI of Real-Time6 Live from the Revolution; Always On; Get in Sync with the Real-Time News Cycle; The Old Media Relations Timeline; Amazon.com as Big Brother; Multiple Takes, One Story; How They Make News in Real Time; Did You Hear the One about the Pornographic Robocall?…”

Tabla de Contenidos: “…Accessing a MySQL database from your local machineConnecting to a MySQL cartridge from your local machine using MySQL Workbench; Updating the MySQL max connections setting; Updating the MySQL configuration settings; Performing scheduled MySQL database backups; Using an Amazon RDS MySQL DB instance with OpenShift; Chapter 5: Using PostgreSQL with OpenShift Applications; Introduction; Adding the PostgreSQL cartridge to your application; Accessing the PostgreSQL cartridge from your local machine; Connecting to the PostgreSQL cartridge using pgAdmin from your local machine…”

Tabla de Contenidos: “…Dinner Spinner Pro -- 13 Notes & Ideas -- Evernote -- Corkulous -- OmniGraf -- MindNode -- SimpleNote -- Outliner -- 14 Information -- IMDB Movies & TV -- Bing -- Delivery Status -- Parcel -- Movies by Flixster -- WolframAlpha -- TED Mobile -- QuickMark 4 -- RedLaser -- Animated Knots -- Knot Guide -- 15 News & Sports -- NYTimes -- NYT Editor's Choice -- Bloomberg -- NPR -- At Bat 2010 for iPad -- 16 Writing & Painting -- Brushes -- SketchBook Pro -- Pages -- Elements -- Plain Text -- 17 Nature -- The Elements -- Star Walk -- Solar Walk -- Planets -- NASA -- WeatherBug Elite -- AccuWeather -- The Weather Channel Max -- 18 Remote Access -- MobileMe iDisk -- Dropbox -- LogMeIn Ignition -- TeamViewer -- iTeleport (Jaadu VNC) -- Remote -- AirMouse Pro -- VLC Remote -- Off Remote -- 19 Utilities -- 1Password Pro -- Yojimbo -- Dragon Dictation -- Amazon Mobile -- Find My iPhone -- TextExpander -- AT&T myWireless Mobile -- Mark the Spot -- Night Stand HD -- Air Display -- Easy Wi-Fi -- Boingo Mobile -- PCalc RPN Calculator -- Calcbot -- Calvetica -- Flashlight+ -- Flashlight -- CardStar -- Index -- 1.…”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; Acknowledgement; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Setting Up HBase Cluster; Introduction; Quick start; Getting ready on Amazon EC2; Setting up Hadoop; Setting up ZooKeeper; Changing the kernel settings; Setting up HBase; Basic Hadoop/ZooKeeper/HBase configurations; Setting up multiple High Availability (HA) masters; Chapter 2:Data Migration; Introduction; Importing data from MySQL via single client; Importing data from TSV files using the bulk load tool; Writing your own MapReduce job to import data…”

Tabla de Contenidos: “…1.7 Key Points, Lessons, and Conclusions; 1.8 Questions for Discussion and Exercises; 1.9 PMBOK® References and Connections; Internet Links and Resources; References and Additional Readings; Chapter 2: Contemporary Project Management: Concepts and Principles; Amazon; 2.1 The Big Picture: The Art of Managing Projects; 2.2 Project Management Defined; 2.3 The Project Life Cycle (PLC); 2.4 Programs, Projects, Tasks, and Committees; 2.4.1 Program; 2.4.2 Project; 2.4.3 Task; 2.4.4 Committees; 2.5 The Role of the Project Manager; 2.6 Classification of Projects…”

Tabla de Contenidos: “…His students have gone on to work for some of the biggest production companies such as Universal, Google, Amazon, Warner, and the BBC. He has contributed to viral streams, grown a unique digital imprint in over 80 countries, and been featured in Rolling Stone, Billboard, Guardian, Bloomberg, and Vice. …”

Tabla de Contenidos: “…Installing Advanced Analytics Integration with R -- Installing Advanced Analytics Integration with Python -- Setting up Qlik AutoML -- Cloud integrations with REST -- General Advanced Analytics connector -- Amazon SageMaker connector -- Azure ML connector -- Qlik AutoML connector -- Summary -- Chapter 6: Preprocessing and Exploring Data with Qlik Sense -- Creating a data model with the data manager -- Introduction to the data manager -- Introduction to Qlik script -- Important functions in Qlik script -- Validating data -- Data lineage and data catalogs -- Data lineage -- Data catalogs -- Exploring data and finding insights -- Summary -- Chapter 7: Deploying and Monitoring Machine Learning Models -- Building a model in an on-premises environment using the Advanced Analytics connection -- Monitoring and debugging models -- Summary -- Chapter 8: Utilizing Qlik AutoML -- Features of Qlik AutoML -- Using Qlik AutoML in a cloud environment -- Creating and monitoring a machine learning model with Qlik AutoML -- Connecting Qlik AutoML to an on-premises environment -- Best practices with Qlik AutoML -- Summary -- Chapter 9: Advanced Data Visualization Techniques for Machine Learning Solutions -- Visualizing machine learning data -- Chart and visualization types in Qlik -- Bar charts -- Box plots -- Bullet charts -- Distribution plots -- Histogram -- Maps -- Scatter plots -- Waterfall charts -- Choosing visualization type -- Summary -- Part 3: Case studies and best practices -- Chapter 10: Examples and Case Studies -- Linear regression example -- Customer churn example -- Summary -- Chapter 11: Future Direction -- The future trends of machine learning and AI -- How to recognize potential megatrends -- Summary -- Index -- About Packt -- Other Books You May Enjoy…”

Prefacio, introducción e índices.

“…Providing a focused and in-depth examination of the field of marketing research that studies consumers' sensorimotor, cognitive and affective responses to marketing stimuli, Neuromarketing in Action is the first book to show both the scientific frameworks and the practical applications of this increasingly popular marketing tool.Through 18 chapters, referencing many global brands such as Aston Martin, Chanel, Lacoste, Amazon, Nike, Carrefour and Dunhill, the authors showcase the latest thinking on brain function and intelligence, and the subconscious influences on consumer behaviour. …”