Analytical Web Note - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analytical Web Note write by . This book was released on 2015. Analytical Web Note available in PDF, EPUB and Kindle. This note presents indicators that can be useful for the regular monitoring of skills mismatches across EU Member States. It distinguishes three broad groups of skills mismatch indicators: indicators of macroeconomic skills mismatch, specific skills shortages, and on-the-job skills mismatch. The indicators of macroeconomic skills mismatch measure the discrepancy between employment outcomes for workers with low, medium, and high skills. This type of indicator is most useful for informing macroeconomic policy and generally identifies countries in which individuals with low skills face significant challenges in the labour market. Specific skills shortage indicators reflect shortages of very specific skills profiles, as experienced by employers trying to recruit such profiles. Indicators of on-the-job skills mismatch measure the discrepancy between the skills individual workers have and those that are needed for their job. The latter two sets of indicators are most useful to inform policy in designing and maintaining a well-functioning education and training system (including adult education) that provides high-quality education and is responsive to the needs of today's as well as tomorrow's labour market.
Predictive Analytics
Predictive Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Predictive Analytics write by Eric Siegel. This book was released on 2016-01-12. Predictive Analytics available in PDF, EPUB and Kindle. "Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
BIOS Instant Notes in Analytical Chemistry
BIOS Instant Notes in Analytical Chemistry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook BIOS Instant Notes in Analytical Chemistry write by David Kealey. This book was released on 2004-08-02. BIOS Instant Notes in Analytical Chemistry available in PDF, EPUB and Kindle. Instant Notes in Analytical Chemistry provides students with a thorough comprehension of analytical chemistry and its applications. It supports the learning of principles and practice of analytical procedures and also covers the analytical techniques commonly used in laboratories today.
Understanding User-Web Interactions via Web Analytics
Understanding User-Web Interactions via Web Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Understanding User-Web Interactions via Web Analytics write by Bernard J. Jansen. This book was released on 2009-08-08. Understanding User-Web Interactions via Web Analytics available in PDF, EPUB and Kindle. This lecture presents an overview of the Web analytics process, with a focus on providing insight and actionable outcomes from collecting and analyzing Internet data. The lecture first provides an overview of Web analytics, providing in essence, a condensed version of the entire lecture. The lecture then outlines the theoretical and methodological foundations of Web analytics in order to make obvious the strengths and shortcomings of Web analytics as an approach. These foundational elements include the psychological basis in behaviorism and methodological underpinning of trace data as an empirical method. These foundational elements are illuminated further through a brief history of Web analytics from the original transaction log studies in the 1960s through the information science investigations of library systems to the focus on Websites, systems, and applications. Following a discussion of on-going interaction data within the clickstream created using log files and page tagging for analytics of Website and search logs, the lecture then presents a Web analytic process to convert these basic data to meaningful key performance indicators in order to measure likely converts that are tailored to the organizational goals or potential opportunities. Supplementary data collection techniques are addressed, including surveys and laboratory studies. The overall goal of this lecture is to provide implementable information and a methodology for understanding Web analytics in order to improve Web systems, increase customer satisfaction, and target revenue through effective analysis of user–Website interactions. Table of Contents: Understanding Web Analytics / The Foundations of Web Analytics: Theory and Methods / The History of Web Analytics / Data Collection for Web Analytics / Web Analytics Fundamentals / Web Analytics Strategy / Web Analytics as Competitive Intelligence / Supplementary Methods for Augmenting Web Analytics / Search Log Analytics / Conclusion / Key Terms / Blogs for Further Reading / References
Analytical Web Note
Analytical Web Note - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analytical Web Note write by . This book was released on 2015. Analytical Web Note available in PDF, EPUB and Kindle. This note provides a descriptive overview of the data collected under the EU Labour Market Policy Statistics (LMP) database managed by the European Commission. The analysis in the note covers a number of indicators on expenditure and beneficiaries as contained in the LMP database. 1 On the basis of these statistics/ indicators one can analyse for example the structural features between countries: which countries focus more strongly on the so-called active labour market policies and which seem to do focus on support policies / benefits. One can also see, for example, how LMP expenditure and the number of beneficiaries of LMP developed over time in comparison to the size of the unemployment challenge as a result of the crisis and whether different policy responses took place across Member States and between the EU and the euro area. Labour market policies are important to support people move from inactivity and unemployment into employment and find more rewarding and productive jobs. They play a crucial part in helping people search for a new job through income support and job searching mechanisms, acquire new skills though training, make successful career shifts, start their own business, etc. As such, they contribute to fostering inclusive growth as part of the Europe 2020 strategy for jobs and growth.
