Revealed Sciences

Revealed Sciences
Author: Justin K. Stearns
Publsiher: Cambridge University Press
Total Pages: 331
Release: 2021-07-08
Genre: History
ISBN: 9781107065574

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Provides a detailed overview of the place of the natural sciences in the scholarly and educational landscape of Early Modern Morocco, this study challenges previous negative depictions of the natural sciences in the Muslim world to demonstrate the vibrancy of an Early Modern Muslim society in seventeenth-century Morocco.

The Presbyterian Review

The Presbyterian Review
Author: Charles Augustus Briggs,Archibald Alexander Hodge,Francis Landrey Patton,Benjamin Breckenridge Warfield
Publsiher: Unknown
Total Pages: 816
Release: 1885
Genre: Presbyterian Church
ISBN: WISC:89077096964

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Includes section "Reviews of recent theological literature".

Appletons Popular Science Monthly

Appletons  Popular Science Monthly
Author: William Jay Youmans
Publsiher: Unknown
Total Pages: 1130
Release: 1898
Genre: Science
ISBN: HARVARD:TZ1AED

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The Science of Belief

The Science of Belief
Author: Bradley Stubbs
Publsiher: Unknown
Total Pages: 110
Release: 2017-11-05
Genre: Electronic Book
ISBN: 1549742515

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The greatest book to create the greatest winning mindset. A unique book that gives anyone the edge over their opposition in terms of mindset and their ability to win. Bradley Charles Stubbs, the Coach Whisperer takes you on a journey through the mind. While he makes you aware of your strengths he empowers your weaknesses to ensure winning results. The Science of Belief is an extension on Neuroscience. Whilst neuroscience understands the brain, the science of belief puts the brain into action. It develops techniques to activate the brain into a winning mindset.

The Popular Science Monthly

The Popular Science Monthly
Author: Anonim
Publsiher: Unknown
Total Pages: 798
Release: 1873
Genre: Science
ISBN: MINN:31951T00080716K

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Century Illustrated Monthly Magazine

Century Illustrated Monthly Magazine
Author: Anonim
Publsiher: Unknown
Total Pages: 982
Release: 1893
Genre: Periodicals
ISBN: CHI:72981649

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Scribner s Monthly an Illustrated Magazine for the People

Scribner s Monthly  an Illustrated Magazine for the People
Author: Anonim
Publsiher: Unknown
Total Pages: 962
Release: 1893
Genre: Electronic Book
ISBN: PSU:000020213619

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Data Science Revealed

Data Science Revealed
Author: Tshepo Chris Nokeri
Publsiher: Apress
Total Pages: 252
Release: 2021-03-21
Genre: Computers
ISBN: 1484268695

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Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures behind each model. The book covers parametric methods or linear models that combat under- or over-fitting using techniques such as Lasso and Ridge. It includes complex regression analysis with time series smoothing, decomposition, and forecasting. It takes a fresh look at non-parametric models for binary classification (logistic regression analysis) and ensemble methods such as decision trees, support vector machines, and naive Bayes. It covers the most popular non-parametric method for time-event data (the Kaplan-Meier estimator). It also covers ways of solving classification problems using artificial neural networks such as restricted Boltzmann machines, multi-layer perceptrons, and deep belief networks. The book discusses unsupervised learning clustering techniques such as the K-means method, agglomerative and Dbscan approaches, and dimension reduction techniques such as Feature Importance, Principal Component Analysis, and Linear Discriminant Analysis. And it introduces driverless artificial intelligence using H2O. After reading this book, you will be able to develop, test, validate, and optimize statistical machine learning and deep learning models, and engineer, visualize, and interpret sets of data. What You Will Learn Design, develop, train, and validate machine learning and deep learning models Find optimal hyper parameters for superior model performance Improve model performance using techniques such as dimension reduction and regularization Extract meaningful insights for decision making using data visualization Who This Book Is For Beginning and intermediate level data scientists and machine learning engineers