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Author: Prin. Dr. Sushma Thirekar Publisher: Success Publication ISBN: Category : Education Languages : en Pages : 228
Book Description
"Unlock the complexities of educational statistics with 'Statistical Mastery in Education' by Professor Sarah Brown. A comprehensive guide for educators navigating advanced statistical concepts in educational research."
Author: Prin. Dr. Sushma Thirekar Publisher: Success Publication ISBN: Category : Education Languages : en Pages : 228
Book Description
"Unlock the complexities of educational statistics with 'Statistical Mastery in Education' by Professor Sarah Brown. A comprehensive guide for educators navigating advanced statistical concepts in educational research."
Author: Jeremy J Foster Publisher: SAGE ISBN: 1412900131 Category : Social Science Languages : en Pages : 194
Book Description
The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify. This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration.
Author: Mauly Halwat Hikmat Publisher: Springer Nature ISBN: 2384760866 Category : Education Languages : en Pages : 2656
Book Description
This is an open access book. The COVID-19 pandemic in the last two years has influenced how educational system works. Online learning became the primal policy taken by all institutions in the world to lower the risk of the virus spread. Despite the drawbacks of the online learning, teachers and students were accustomed with the distant learning through web meetings, Learning Management Systems (LMS) and other online learning platforms. In that time, topics under digital learning and education 5.0 were the main stakes in academic disseminations. This year some institutions start to conduct their teaching and learning process classically as before the pandemic, others are still continuing online and not few are in hybrid. This leaves a question: what learning reform should be made in post-pandemic era? This conference invites researchers, experts, teachers and students to discuss the coping solutions of the question. It is important for them to contribute to the understanding of re-imaging online education for better futures, innovative learning design, new skills for living and working in new times, global challenge of education, learning and teaching with blended learning, flipped learning, integrating life skills for students in the curriculum, developing educators for the future distance learning, humanities learning in the digital era, assessment and measurement in education, challenges and transformations in education, technology in teaching and learning, new learning and teaching models. Not limited to these, scholars may add another interesting topic related to learning reform in post-pandemic era to present.
Author: Biju, Soly Mathew Publisher: IGI Global ISBN: 1668486989 Category : Computers Languages : en Pages : 321
Book Description
The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.
Author: Prussia (Germany). Ministerium der Geistlichen, Unterrichts- und Medizinal-Angelegenheiten Publisher: ISBN: Category : Education Languages : en Pages : 158
Author: Mikhail Kanevski Publisher: John Wiley & Sons ISBN: 1118623266 Category : Social Science Languages : en Pages : 224
Book Description
This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.
Author: Prin. Dr. Sushma Thirekar
Author: Prin. Dr. Sushma Thirekar
Author: Jeremy J Foster
Author: Mauly Halwat Hikmat
Author: Biju, Soly Mathew
Author: Prussia (Germany). Ministerium der Geistlichen, Unterrichts- und Medizinal-Angelegenheiten
Author: 
Author: Mikhail Kanevski
Author: National Library of Medicine (U.S.)
Author: Karl John Holzinger
Author: