Tabla de Contenidos: “…Rev up your thinking with creative stimulation -- Play with typography's multiple personalities -- Ebrace type as a design element -- Master the design elements -- Connect with your audience through powerful writing -- Spark the creative process for focused campaign strategies -- Take charge of the design principles -- Explore the power of color psychology -- Discover exciting, strategy-based ads and campaigns -- Learn the latest through inventive case studies with impressive results -- See which self-promotions really work -- Be inspired by creative tips from conceptual thinkers…”

“…Journey to Australia's southern ocean and uncover one of its best-kept secrets - a natural phenomenon called the "Bonney Upwelling" that sparks a feeding frenzy all the way up the food chain to the planet's largest living creature, the Blue Whale. …”

Tabla de Contenidos: “…Leavings -- Reina: Present, absent -- Nazareth I: After the flood. Like water and air. Sparks. Compensation, contagion, consumption. Friends. …”
Sumario

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: From Data to Decisions - Getting Started with Analytic Applications -- Designing an advanced analytic solution -- Data layer: warehouses, lakes, and streams -- Modeling layer -- Deployment layer -- Reporting layer -- Case study: sentiment analysis of social media feeds -- Data input and transformation -- Sanity checking -- Model development -- Scoring -- Visualization and reporting -- Case study: targeted e-mail campaigns -- Data input and transformation -- Sanity checking -- Model development -- Scoring -- Visualization and reporting -- Summary -- Chapter 2: Exploratory Data Analysis and Visualization in Python -- Exploring categorical and numerical data in IPython -- Installing IPython notebook -- The notebook interface -- Loading and inspecting data -- Basic manipulations - grouping, filtering, mapping, and pivoting -- Charting with Matplotlib -- Time series analysis -- Cleaning and converting -- Time series diagnostics -- Joining signals and correlation -- Working with geospatial data -- Loading geospatial data -- Working in the cloud -- Introduction to PySpark -- Creating the SparkContext -- Creating an RDD -- Creating a Spark DataFrame -- Summary -- Chapter 3: Finding Patterns in the Noise - Clustering and Unsupervised Learning -- Similarity and distance metrics -- Numerical distance metrics -- Correlation similarity metrics and time series -- Similarity metrics for categorical data -- K-means clustering -- Affinity propagation - automatically choosing cluster numbers -- k-medoids -- Agglomerative clustering -- Where agglomerative clustering fails -- Streaming clustering in Spark -- Summary -- Chapter 4: Connecting the Dots with Models - Regression Methods -- Linear regression -- Data preparation…”

Tabla de Contenidos: “…Ridge regression -- LASSO regression -- Data clustering -- The K-means algorithm -- K-means implementation with Spark ML -- Data dimensionality reduction -- Singular value decomposition -- Matrix theory and linear algebra overview -- The important properties of singular value decomposition -- SVD with Spark ML -- The principal component analysis method -- The PCA algorithm using SVD -- Implementing SVD with Spark ML -- Content-based recommendation systems -- Frequently asked questions -- Summary -- Chapter 4: Neural Network for Big Data -- Fundamentals of neural networks and artificial neural networks -- Perceptron and linear models -- Component notations of the neural network -- Mathematical representation of the simple perceptron model -- Activation functions -- Sigmoid function -- Tanh function -- ReLu -- Nonlinearities model -- Feed-forward neural networks -- Gradient descent and backpropagation -- Gradient descent pseudocode -- Backpropagation model -- Overfitting -- Recurrent neural networks -- The need for RNNs -- Structure of an RNN -- Training an RNN -- Frequently asked questions -- Summary -- Chapter 5: Deep Big Data Analytics -- Deep learning basics and the building blocks -- Gradient-based learning -- Backpropagation -- Non-linearities -- Dropout -- Building data preparation pipelines -- Practical approach to implementing neural net architectures -- Hyperparameter tuning -- Learning rate -- Number of training iterations -- Number of hidden units -- Number of epochs -- Experimenting with hyperparameters with Deeplearning4j -- Distributed computing -- Distributed deep learning -- DL4J and Spark -- API overview -- TensorFlow -- Keras -- Frequently asked questions -- Summary -- Chapter 6: Natural Language Processing -- Natural language processing basics -- Text preprocessing -- Removing stop words -- Stemming -- Porter stemming…”

Tabla de Contenidos: “…Carroll -- Nineteenth-century Irish Catholicism, farmers' ideology, and national religion / Eugene Hynes -- Containing the luciferine spark : the Catholic Church and recent movements for social change in the Republic of Ireland / John A. …”

Tabla de Contenidos: “…Front Cover -- Contents -- Dedications and Acknowledgments -- Preface -- About the Authors -- The Story-What Really Happened -- Chapter 1: Begin to Spark -- Chapter 2: Personalize to Motivate -- Chapter 3: Serve to Lead -- Chapter 4: Connect to Engage -- Chapter 5: Fail, Then Account -- Chapter 6: Succeed, Then Recognize -- Chapter 7: Inject Fun to Release Pressure -- Chapter 8: Measure to Coach -- Chapter 9: Action Program Spirit to Achieve Excellence -- Chapter 10: Get Help to Be Independent -- Epilogue: One Year Later-Making It StickE ven When It Gets Sticky -- Back Cover…”

Tabla de Contenidos: “…The heart of helping: how to really help others learn and grow -- Conversations that inspire: discovering what is most important -- Coaching with compassion: inspiring sustained, desired change -- Awakening the desire to change: questions that spark joy, gratitude, and curiosity -- Survive and thrive: the battle in your brain -- The power of a personal vision: dreams, not just goals -- Cultivating a resonant relationship: listen beyond what you hear -- Creating a culture of coaching or helping: pathways to transform the organization -- Coachable moments: recognizing and leveraging them -- The call of compassion: step outside of yourself: an invitation to dream…”

Tabla de Contenidos: “…Kafka Connect using JDBC and file Sink Connectors -- Apache Storm -- Features of Apache Storm -- Storm topology -- Storm topology components -- Installing Storm on a single node cluster -- Developing a real-time streaming pipeline with Storm -- Streaming a pipeline from Kafka to Storm to MySQL -- Streaming a pipeline with Kafka to Storm to HDFS -- Other popular real-time data streaming frameworks -- Kafka Streams API -- Spark Streaming -- Apache Flink -- Apache Flink versus Spark -- Apache Spark versus Storm -- Summary -- Chapter 7: Large-Scale Data Processing Frameworks -- MapReduce -- Hadoop MapReduce -- Streaming MapReduce -- Java MapReduce -- Summary -- Apache Spark 2 -- Installing Spark using Ambari -- Service selection in Ambari Admin -- Add Service Wizard -- Server placement -- Clients and Slaves selection -- Service customization -- Software deployment -- Spark installation progress -- Service restarts and cleanup -- Apache Spark data structures -- RDDs, DataFrames and datasets -- Apache Spark programming -- Sample data for analysis -- Interactive data analysis with pyspark -- Standalone application with Spark -- Spark streaming application -- Spark SQL application -- Summary -- Chapter 8: Building Enterprise Search Platform -- The data search concept -- The need for an enterprise search engine -- Tools for building an enterprise search engine -- Elasticsearch -- Why Elasticsearch? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Predict the Class of a Flower from the Iris Dataset -- A multivariate classification problem -- Understanding multivariate -- Different kinds of variables -- Categorical variables -- Fischer's Iris dataset -- The Iris dataset represents a multiclass, multidimensional classification task -- The training dataset -- The mapping function -- An algorithm and its mapping function -- Supervised learning - how it relates to the Iris classification task -- Random Forest classification algorithm -- Project overview - problem formulation -- Getting started with Spark -- Setting up prerequisite software -- Installing Spark in standalone deploy mode -- Developing a simple interactive data analysis utility -- Reading a data file and deriving DataFrame out of it -- Implementing the Iris pipeline -- Iris pipeline implementation objectives -- Step 1 - getting the Iris dataset from the UCI Machine Learning Repository -- Step 2 - preliminary EDA -- Firing up Spark shell -- Loading the iris.csv file and building a DataFrame -- Calculating statistics -- Inspecting your SparkConf again -- Calculating statistics again -- Step 3 - creating an SBT project -- Step 4 - creating Scala files in SBT project -- Step 5 - preprocessing, data transformation, and DataFrame creation -- DataFrame Creation -- Step 6 - creating, training, and testing data -- Step 7 - creating a Random Forest classifier -- Step 8 - training the Random Forest classifier -- Step 9 - applying the Random Forest classifier to test data -- Step 10 - evaluate Random Forest classifier -- Step 11 - running the pipeline as an SBT application -- Step 12 - packaging the application -- Step 13 - submitting the pipeline application to Spark local -- Summary -- Questions…”

“…Providing both a practical and theoretical foundation for directors, this book explores how to craft an artistic vision for a production, and sparks inspiration in directors to put their learning into practice. …”

Tabla de Contenidos: “…The Political Tyro -- 10. Igniting a Spark -- 11. Into the Deep End: The Struggle for Survival -- 12. …”

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:

Tabla de Contenidos: “…Cable Television in the United States: A Story of Continuing Growth and Change Vernone Sparkes 2. Cable at the Crossroads: An Analysis of the Canadian Cable Industry Andre H. …”

Tabla de Contenidos: “…The intertextual birth of the Logos: the prologue to John as a Jewish Midrash ; The Jewish life of the Logos: Logos theology in pre- and pararabbinic Judaism ; The crucifixion of the memra: how the Logos became Christian. -- Pt.3. Sparks of the Logos: historicizing Rabbinic religion. …”

Tabla de Contenidos: “…. -- Main Street -- In the groves of academe -- Governor -- In the maestro's orchestra -- The subprime spark -- Rookie season -- First tremors, first response -- One step forward -- The end of the beginning -- Bear Stearns : before Asia opens -- Fannie and Freddie : a long, hot summer -- Lehman : the dam breaks -- AIG : "it makes me angry" -- We turn to Congress -- "Fifty percent Hell no" -- A cold wind -- Transition -- From financial crisis to economic crisis -- Quantitative easing : the end of orthodoxy -- Building a new financial system -- QE2 : false dawn -- Headwinds -- Taper capers -- Looking back, looking forward…”

“…"This is a book of husks and sparks, of things lost and then recovered..." So begins Rabbi Geoffrey Dennis in his introduction to this one-of-a-kind encyclopedia devoted to the esoteric in Judaism-the fabulous, the miraculous, and the mysterious. …”