Tabla de Contenidos:

Tabla de Contenidos: “…; Rules for an Effective ''No Negotiation'' Policy; Making the ''No Negotiation'' Policy Work, Despite So Many Rules; Using Time to Drive Value; CHAPTER 5: Prospecting That Works; Past Growth Doesn't Guarantee Future Growth; Finding New Customers Is Not an Optional Job Activity…”

Tabla de Contenidos: “…Instant Payoff Tip #1: Set Up Templates and StylesInstant Payoff Tip #2: Customize Your Toolbar; Instant Payoff Tip #3: Learn Some Shortcut Keys; Instant Payoff Tip #4: Use Consistent Formats; Instant Payoff Tip #5: Learn to Use Excel as a Database; Instant Payoff Tip #6: Learn to Use the Lookup & Reference Functions; Instant Payoff Tip #7: Organize Data for Easy Computation; Instant Payoff Tip #8: Learn to Use Automated Help; Instant Payoff Tip #9: Don't Learn Too Many Ways to Do the Same Thing; Chapter 6 Or Pay Me Later; The Long-Term Payoff Tips…”

Tabla de Contenidos: “…; Install Python 3; Use IDLE to help learn Python; Work effectively with IDLE; Deal with complex data; Create simple Python lists; Lists are like arrays; Add more data to your list; Work with your list data; For loops work with lists of any size; Store lists within lists; Check a list for a list; Complex data is hard to process; Handle many levels of nested lists; Don't repeat code; create a function; Create a function in Python; Recursion to the rescue!…”

Tabla de Contenidos: “…; 'Tis volley; Keep the dream alive; Slash and burn!; The many faces of keep-up; Creating the ball and the hitter; Time for action - create the ball; A ball by any other name; Time for action - rename the ball; Origin story; XYZ/RGB; Time for action - move the ball into the ""sky""…”

Tabla de Contenidos: “…The Save and Open Dialog BoxesUniversal Apps (Intel Macs); Installing Mac OS X Programs; Dashboard; Web Clips: Make Your Own Widgets; Power Typing in Snow Leopard; The Many Languages of Mac OS X Text; Data Detectors; Part Two: Making the Move; Chapter 5. …”

Tabla de Contenidos: “…Get Started; Sign up; Quickly create a compelling profile; Understand what "following" means; Find the people you know on Twitter; Get suggestions for cool people to follow; Twitter from the road; Test-drive the 140-character limit; Trim messages that are too long; The secret to linking in Twitter; Figure out how many people to follow…”

Tabla de Contenidos: “…When HDR RulesMore Exposures Mean More Data; HDR is Not a Magic Fix; The Right Light for the Situation; Strong Light Might Be the Right Light; Soft Light is Sometimes Right, Too; Always Be Prepared for HDR Photography; Part II: Must Know Info; See the Light & Determine Bracketing; Too Few and Too Many Shots; Spot Metering Can Help; What Your Eyes See vs. …”

Tabla de Contenidos: “…April 1, 2004: "A software odyssey-From craft to engineering"July 1, 2005: "Review this-Inspections"; October 1, 2006: "Bold predictions of quality"; May 1, 2008: "Crash dummies: Resilience"; October 1, 2008: "Nailing the nominals"; Chapter 6: Software Design If We Have Time; September 1, 2001: "A tragedy of error handling"; February 1, 2002: "Too many cooks spoil the broth-Sole authority"; May 1, 2004: "Resolved by design"; February 1, 2006: "The other side of quality-Designers and architects"; August 1, 2006: "Blessed isolation-Better design"…”

Tabla de Contenidos:

Tabla de Contenidos: “…; 'Tis volley; Keep the dream alive; Slash and burn!; The many faces of keep-up; Creating the ball and the hitter; Time for action - Creating the ball; A ball by any other name; Time for action - Renaming the ball; Origin story; XYZ/RGB; Time for action - Moving the ball Into the ""sky""; Time for action - Shrinking the ball; Time for action - Saving your scene; Time for action - Adding the paddle; What is a mesh?…”

Tabla de Contenidos: “…; String Handling; Packages; Lists and Maps; Generics; Inheritance and Interfaces; Annotations; And Many More; Summary; CHAPTER 2 How Android Works; Basic Structure of Android Programs; Intents: What, Where, Why, and Are They Honorable?…”

Tabla de Contenidos: “…Contents at a Glance; Table of Contents; Introduction; About Facebook For Dummies; Foolish Assumptions; Icons Used in This Book; Where to Go from Here; Part I: Getting Started with Facebook; Chapter 1: The Many Faces of Facebook; So . . . What Is Facebook, Exactly?…”

Tabla de Contenidos: “….; The OCPJP 7 Exam; FAQ 7. How many questions are there in the OCPJP 7 exam?; FAQ 8. …”

Tabla de Contenidos: “…How Data Informs Design at FacebookApple Defines Design; Big Data in Game Design; Better Cars with Big Data; Big Data and Music; Big Data and Architecture; Data-Driven Design; Big Data in Better Web Site Design; Chapter 5: Why a Picture is Worth a Thousand Words; Trend Spotting; The Many Types of Visualizations; How to Create Visualizations; Using Visualization to Compress Knowledge; Why Is Visual Information So Powerful?…”

Tabla de Contenidos: “…A bit about Ms MolloyA bit about Bob; Business dialogue in the class(/board)room; PART III PLOT; Chapter 2 Purpose; The core; Your reason to exist; See through vision, direct through strategy; Intrinsic measures of success; Real-life stories; Start with the cause; Find the meaning; Listen to the calling of your employees; Chapter 3 Leadership; Power made by many; Co-creating leadership; Complications; Purpose is circumvented by capital-market disciplines; Icebergs (there's a lot under that tip); Positions of power and perilous pressure; Meaning is catching; So, what to be?…”

Tabla de Contenidos: “…TOGAF: One framework among many?; TOGAF and DODAF; TOGAF and ITIL; TOGAF and CMMI; 1.5. …”

Tabla de Contenidos: “…Hot region-write diagnosisChapter 6:Maintenance and Security; Introduction; Enabling HBase RPC DEBUG-level logging; Graceful node decommissioning; Adding nodes to the cluster; Rolling restart; Simple script for managing HBase processes; Simple script for making deployment easier; Kerberos authentication for Hadoop and HBase; Configuring HDFS security with Kerberos; HBase security configuration; Chapter 7:Troubleshooting; Introduction; Troubleshooting tools; Handling the XceiverCount error; Handling the ""too many open files"" error; Handling the ""unable to create new native thread"" error…”

Tabla de Contenidos: “…-- Leverage an Online Producer -- See What the Participants See -- A Note About Audio: Using Phone or Computer -- Online Platform Features -- Conclusion -- 2 Have Them at Hello: Warm-Ups and Welcomes -- Take a Tour -- Trivia -- Pumpkin Carving -- Vacation Plans -- Inquiring Minds Want To Know -- Sign In -- Brain Teasers -- Mazes and Word Searches -- Welcome With Music -- Follow My Virtual Background -- Synchronized Drawing -- Virtual Hallway Meetup -- Conclusion -- 3 Let's Do This: Breaking the Ice -- Around the World via Recipes -- Open Up -- How Many Can You Name? -- Time Perspectives -- Technology Two-Step -- Three of Anything -- Story Time -- What's Your Band Name? …”

Tabla de Contenidos: “…; 2.2 Data Cleaning; 2.3 Handling Missing Data. 2.4 Identifying Misclassifications2.5 Graphical Methods for Identifying Outliers; 2.6 Measures of Center and Spread; 2.7 Data Transformation; 2.8 Min-Max Normalization; 2.9 Z-Score Standardization; 2.10 Decimal Scaling; 2.11 Transformations to Achieve Normality; 2.12 Numerical Methods for Identifying Outliers; 2.13 Flag Variables; 2.14 Transforming Categorical Variables into Numerical Variables; 2.15 Binning Numerical Variables; 2.16 Reclassifying Categorical Variables; 2.17 Adding an Index Field; 2.18 Removing Variables that are not Useful; 2.19 Variables that Should Probably not be Removed. 2.20 Removal of Duplicate Records2.21 A Word About ID Fields; The R Zone; R Reference; Exercises; Chapter 3: Exploratory Data Analysis; 3.1 Hypothesis Testing Versus Exploratory Data Analysis; 3.2 Getting to Know The Data Set; 3.3 Exploring Categorical Variables; 3.4 Exploring Numeric Variables; 3.5 Exploring Multivariate Relationships; 3.6 Selecting Interesting Subsets of the Data for Further Investigation; 3.7 Using EDA to Uncover Anomalous Fields; 3.8 Binning Based on Predictive Value; 3.9 Deriving New Variables: Flag Variables; 3.10 Deriving New Variables: Numerical Variables. 3.11 Using EDA to Investigate Correlated Predictor Variables3.12 Summary of Our EDA; The R Zone; R References; Exercises; Chapter 4: Dimension-Reduction Methods; 4.1 Need for Dimension-Reduction in Data Mining; 4.2 Principal Components Analysis; 4.3 Applying PCA to the Houses Data Set; 4.4 How Many Components Should We Extract?; 4.5 Profiling the Principal Components; 4.6 Communalities; 4.7 Validation of the Principal Components; 4.8 Factor Analysis; 4.9 Applying Factor Analysis to the Adult Data Set; 4.10 Factor Rotation; 4.11 User-Defined Composites…”