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 English | 2021 | ISBN: 1032131756 | 177 pages | True PDF | 10.02 MB Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fine-grained patterns and take timely and accurate decisions, but it also creates a lot of challenges such as slow training and scalability of machine learning models. One of the major challenges in machine learning is to develop efficient and scalable learning algorithms, i.e., optimization techniques to solve large scale learning problems.  English | 2014 | ISBN:0367772361 | 205 pages | pdf | 12.75 MB Improve your life fearlessly with this essential guide to kaizen-the art of making great and lasting change through small, steady steps.  English | 2021 | ISBN: 978-8770224031 | 772 pages | pdf | 184.75 MB The study of stem cell biology is under intensive investigation. Because stem cells have the unique capability to self-renew and differentiate into one or several cell types, they play a critical role in development, tissue homeostasis and regeneration. Stem cells also constitute promising cell candidates for cell and gene therapy.  English | 2021 | ISBN: 1292362219 | 1026 pages | True PDF | 99.95 MB For courses inIntroductory Statistics.  English | 2018 | ISBN: 1292161558 , 978-1292165417 | 900 pages | True PDF | 69.89 MB For courses in introductory statistics. Classic, yet contemporary; theoretical, yet applied--McClave & Sincich's Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasises inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises. Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.  English | 2021 | ISBN: 1119827396 | 451 pages | True PDF EPUB | 20.64 MB Continue your statistics journey with this all-encompassing reference  English | 2020 | ISBN: 1319109020 , 978-1319109028 | 1164 pages | PDF | 34.46 MB There are books on statistical theory and books on statistical methods. This is neither. It is a book on statistical ideas and statistical reasoning and on their relevance to public policy and to the human sciences from medicine to sociology. We have included many elementary graphical and numerical techniques to give flesh to the ideas and muscle to the reasoning. Students learn to think about data by working with data. We have not, however, allowed technique to dominate concepts. Our intention is to teach verbally rather than algebraically, to invite discussion and even argument rather than mere computation, though some computation remains essential. The coverage is considerably broader than one might traditionally cover in a one-term course, as the table of contents reveals. In the spirit of general education, we have preferred breadth to detail.  English | 2021 | ISBN: 0128158611 | 460 pages | True PDF EPUB | 52.83 MB Statistical Modeling using Local Gaussian Approximationextends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more.  English | 2021 | ISBN: 036728054X| 381 pages | pdf | 10.75 MB Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis.Statistical Methods for Handling Incomplete Datacovers the most up-to-date statistical theories and computational methods for analyzing incomplete data.  English | 2018 | ISBN: 1292086033 , 978-1292086033 | 283 pages | True PDF | 9.76 MB Is there a link between people's heart rate and blood pressure? |
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