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Author: Carlos Alberto De Bragança Pereira
Publisher: MDPI
ISBN: 3036507922
Category : Technology & Engineering
Languages : en
Pages : 256
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Book Description
With the increase in data processing and storage capacity, a large amount of data is available. Data without analysis does not have much value. Thus, the demand for data analysis is increasing daily, and the consequence is the appearance of a large number of jobs and published articles. Data science has emerged as a multidisciplinary field to support data-driven activities, integrating and developing ideas, methods, and processes to extract information from data. This includes methods built from different knowledge areas: Statistics, Computer Science, Mathematics, Physics, Information Science, and Engineering. This mixture of areas has given rise to what we call Data Science. New solutions to the new problems are reproducing rapidly to generate large volumes of data. Current and future challenges require greater care in creating new solutions that satisfy the rationality for each type of problem. Labels such as Big Data, Data Science, Machine Learning, Statistical Learning, and Artificial Intelligence are demanding more sophistication in the foundations and how they are being applied. This point highlights the importance of building the foundations of Data Science. This book is dedicated to solutions and discussions of measuring uncertainties in data analysis problems.
Author: Carlos Alberto De Bragança Pereira
Publisher: MDPI
ISBN: 3036507922
Category : Technology & Engineering
Languages : en
Pages : 256
Get Book Here
Book Description
With the increase in data processing and storage capacity, a large amount of data is available. Data without analysis does not have much value. Thus, the demand for data analysis is increasing daily, and the consequence is the appearance of a large number of jobs and published articles. Data science has emerged as a multidisciplinary field to support data-driven activities, integrating and developing ideas, methods, and processes to extract information from data. This includes methods built from different knowledge areas: Statistics, Computer Science, Mathematics, Physics, Information Science, and Engineering. This mixture of areas has given rise to what we call Data Science. New solutions to the new problems are reproducing rapidly to generate large volumes of data. Current and future challenges require greater care in creating new solutions that satisfy the rationality for each type of problem. Labels such as Big Data, Data Science, Machine Learning, Statistical Learning, and Artificial Intelligence are demanding more sophistication in the foundations and how they are being applied. This point highlights the importance of building the foundations of Data Science. This book is dedicated to solutions and discussions of measuring uncertainties in data analysis problems.
Author:
Publisher:
ISBN:
Category : Bonds
Languages : en
Pages : 1064
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Book Description
Author: T. Daniel Coggin
Publisher: John Wiley & Sons
ISBN: 9781883249519
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
Applied Equity Valuation provides comprehensive coverage of the theory and practice of all aspects of valuation, including security valuation in a complex market, bottom-up approach to small capitalization active management, top down/thematic equity management, implementing an integrated quantitative investment process, applying the DDM, value-based equity strategies, market-neutral portfolio management, enhanced indexing, dynamic style allocation, and exploiting global equity pricing anomalies.
Author: Aboul-Ella Hassanien
Publisher: Springer Nature
ISBN: 3030442896
Category : Technology & Engineering
Languages : en
Pages : 880
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Book Description
This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
Author: Constantine Stephanidis
Publisher: Springer
ISBN: 3030235254
Category : Computers
Languages : en
Pages : 596
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Book Description
The three-volume set CCIS 1032, CCIS 1033, and CCIS 1034 contains the extended abstracts of the posters presented during the 21st International Conference on Human-Computer Interaction, HCII 2019, which took place in Orlando, Florida, in July 2019.The total of 1274 papers and 209 posters included in the 35 HCII 2019 proceedings volumes was carefully reviewed and selected from 5029 submissions. The 208 papers presented in these three volumes are organized in topical sections as follows: Part I: design, development and evaluation methods and technique; multimodal Interaction; security and trust; accessibility and universal access; design and user experience case studies. Part II:interacting with games; human robot interaction; AI and machine learning in HCI; physiological measuring; object, motion and activity recognition; virtual and augmented reality; intelligent interactive environments. Part III: new trends in social media; HCI in business; learning technologies; HCI in transport and autonomous driving; HCI for health and well-being.
Author: Leszek Rutkowski
Publisher: Springer Science & Business Media
ISBN: 3540221239
Category : Computers
Languages : en
Pages : 1233
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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held in Zakopane, Poland in June 2004. The 172 revised contributed papers presented together with 17 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on neural networks, fuzzy systems, evolutionary algorithms, rough sets, soft computing in classification, image processing, robotics, multiagent systems, problems in AI, intelligent control, modeling and system identification, medical applications, mechanical applications, and applications in various fields.
Author: Mark Lowe
Publisher: Alakai Publishing LLC
ISBN:
Category : Business & Economics
Languages : en
Pages : 133
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Book Description
Do you want to know the secret behind billionaire investors like Warren Buffet and Bill Gates who have successfully increased the size of their holdings over the years? Are you interested to participate in the stock market, but you are afraid to lose your investment capital? Are you looking for effective investment strategies that will provide you with regular passive income and potential wealth accumulation? Then, this book is for you! Dividend Investing Simplified: The Step-by-Step Guide to Make Money and Create Passive Income in the Stock Market with Dividend Stocks will help you learn the fundamental concepts behind a specific strategy used by investors who are currently reaping the rewards of their carefully designed investment portfolio. Inside, you will discover: - The benefits and drawbacks of investing in dividend stocks - The common terms used by dividend investors - The different factors you need to consider before you buy dividend stocks - The different strategies used by successful dividend investors - The specific steps in conducting due diligence - The top reasons why investors are reinvesting their dividends instead of cashing out - And a whole lot more! If the books you have read so far have failed to help you understand the dynamics of dividend investing, this one can. With specific actionable steps that you can use to guide your decisions from buying to selling dividend stocks, this book can help you understand why savvy stock investors are attracted to companies that are paying regular dividends. Featuring the top strategies used in dividend investing (HGDRS, HDYS, diversification, and DRIPs) this book explains why it is important that you must follow a specific game plan to help you win the exciting yet volatile game of dividend stock investing. You can really make money in the stock market by investing in companies that are paying regular dividends. For example, if you have invested in dividend stocks of these companies, you might be reaping the rewards of payouts plus capital growth: - Chevron Corp has returned 200% - Altria Group has returned 300% - Con Edison (formerly known as New York Gas Light Company) has returned 130% So, crack this one open today so you can start implementing the strategies used by millionaire stock market investors. P. S. As the popular Chinese adage goes, “The best time to plant trees was 20 years ago, and today is the second-best time.” But avoid the “Just Do It Mentality”! You can’t just randomly pick stocks from the list of dividend-paying companies in the stock exchange. You need a plan, and this book will teach you how to build your own game plan to win. So scroll up, click “Buy Now” and start investing in profitable dividend stocks today!
Author: Doug K. Le Du
Publisher: BookLocker.com, Inc.
ISBN: 1601451636
Category : Business & Economics
Languages : en
Pages : 288
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Book Description
"Preferred Stock Investing" teaches non-experts a simple method of investing in investment grade preferred stocks for annual returns that have averaged more than 14 percent since January 2001. The book purchase includes a subscription to the monthly email CDx3 Preferred Stock Newsletter.
Author:
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 1282
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Book Description
Author: John E. Silvia
Publisher: John Wiley & Sons
ISBN: 1118569547
Category : Business & Economics
Languages : en
Pages : 400
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Book Description
Discover the secrets to applying simple econometric techniques to improve forecasting Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables. Using simple econometric techniques, author John E. Silvia focuses on a select set of major economic and financial variables, revealing how to optimally use statistical software as a template to apply to your own variables of interest. Presents the economic and financial variables that offer unique insights into economic performance Highlights the econometric techniques that can be used to characterize variables Explores the application of SAS software, complete with simple explanations of SAS-code and output Identifies key econometric issues with practical solutions to those problems Presenting the "ten commandments" for economic and business forecasting, this book provides you with a practical forecasting framework you can use for important everyday business applications.
