“…--Mona Hosseini, grad student in Genomic Medicine and Statistics at the University of Oxford The book begins by teaching you these core concepts: The differences between Unix, a command line, a shell, and Terminal Exactly how commands, arguments, and flags work The basics of Terminal's interface and how to customize it Next, it's on to the command line, where you'll learn: How to navigate your Mac's file system Basic file management: creating, copying, moving, renaming, opening, viewing, and deleting files Creating symbolic links The types of command-line programs How to start and stop a command-line program How to edit a text file in nano What a profile is, why it's cool, and how to customize yours The importance of your PATH and how to change it, if you need to How to get help (Joe goes way beyond telling you to read the man pages) You'll extend your skills as you discover how to: Create basic shell scripts to automate repetitive tasks. …”

“…Marketing data -- from buyer behavior to statistics on marketing campaign effectiveness and ROI -- is already available to B2B marketers in various Martech platforms they are already using or can be made readily available with some changes to data collection and integration efforts tied to each company's key performance indicators (KPIs), yet most B2B marketing teams do not take advantage of this information. …”

“…These techniques are important to business analysts and data scientists that are using statistical prediction in a business setting. Matt also discusses statistics and the roles of independant and dependant variables; and a clear understanding of basic regression, a neural network, logistic regression, and a decision tree model will be helpful for getting the most from this video. learn how to apply linear regression, neural networks, logistic regression, and decision tree models to your data in RapidMiner understand when and why to apply each of the four models examined you will learn to assess if your data is appropriate for certain types of predictive modeling Matt North is a professor of Information Systems at Utah Valley University, where he teaches courses on data analytics and database development, administration and security. …”

“…This video, designed for learners with a basic understanding of statistics and computer programming, provides a detailed introduction to three specific types of unsupervised learning: cluster analysis, association analysis, and principal components analysis, as applied to health data sets both at the individual and population levels. …”

“…Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. …”

“…And while he employs a wealth of illustrative charts, graphs, and statistics, he presents the material in an accessible style, and peppers the text with powerful personal anecdotes. …”

“…Angie holds a PhD in physics from London's University College, Gary Willis holds a PhD in statistical physics from London's Imperial College, and Alessandra Stagliano holds a PhD in computer science from the University of Genoa. …”

“…This course is designed for the person who is new to the science of data analytics, who has completed at least one college-level math class, and is comfortable with basic statistics. The course explains the core methods used in data analytics and how to apply those methods in conjunction with RapidMiner, a free and easy-to-use (no programming knowledge required) data analytics platform. …”

“…Orlik introduces 35 of China's most significant economic statistics. Orlik explains why each indicator matters, how it is collected and computed, and its impact on equity, commodity, and currency markets. …”

“…They systematically address common executive objections to social media, offer realistic guidance on reducing its risks, and present up-to-date statistics and case studies demonstrating its business value. …”

“…Drawing on contributions from a wide spectrum of experts in fields including financial economics, econometrics, mathematical finance, operations research, numerical analysis, risk management and statistics, the Encyclopedia of Quantitative Finance faithful reflects the multidisciplinary nature of its subject. …”

“…In Decision Analytics: Microsoft Excel , best selling statistics expert and consultant Conrad Carlberg will show you how—hands-on and step-by-step. …”

“…Back in 1987, Nobel laureate Robert Solow quipped, "You can see the computer age everywhere but in the productivity statistics." This costly condition soon became known as the "productivity paradox." …”

“…These days, a college resume without internship experience is considered "naked." Indeed, statistics show that internship experience leads to more job offers with higher salaries-and in this tough economy, college grads need all the help they can get. …”

“…In Everyone's a Winner, Joel Best- acclaimed author of Damned Lies and Statistics and many other books-shines a bright light on the increasing abundance of status in our society and considers what it all means. …”

“…This new edition includes: updated stories and examples of the Influencer model; new research on behavior change; practical applications for today's challenges; new insights from the authors' experience applying the model over the last fifteen years; updated statistics, facts, and figures; and new case studies and business examples. …”

“…This volume contributes to the reconstruction of this quite unknown period of Fermi's life, marked however by the publication of the Fermi statistics, a scientific breakthrough which would bring the Italian scientist to international celebrity thanks to its application in several fields of physics. …”

“…How does ML differ from statistics, physical testing, and numerical simulation? …”

“…Data Smart is your field guide to building statistics, machine learning, and powerful artificial intelligence concepts right inside your spreadsheet. …”

“… A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. …”