Free Download Trends in Teaching-Learning Technologies: Proceedings of NERC 2022
English | 2023 | ISBN: 9819948738 | 234 Pages | PDF EPUB (True) | 23 MB
The book provides an insight into various facets of teaching and learning methodologies assisted by the technological advancements. The primary goal is to share with the readers about different experiences of technical as well as non-technical institutes in teaching and learning methodologies for improving the existing procedures. This volume will be of interest to those in academia and research.

Free Download Tkinter, Data Science, And Machine Learning
English | 2023 | ASIN : B0CH62R5RY | 282 Pages | EPUB | 10 MB
In this project, we embarked on a comprehensive journey through the world of machine learning and model evaluation. Our primary goal was to develop a Tkinter GUI and assess various machine learning models on a given dataset to identify the best-performing one. This process is essential in solving real-world problems, as it helps us select the most suitable algorithm for a specific task. By crafting this Tkinter-powered GUI, we provided an accessible and user-friendly interface for users engaging with machine learning models. It simplified intricate processes, allowing users to load data, select models, initiate training, and visualize results without necessitating code expertise or command-line operations. This GUI introduced a higher degree of usability and accessibility to the machine learning workflow, accommodating users with diverse levels of technical proficiency.

Free Download The Machine Learning Workshop - Second Edition: Get ready to develop your own high-performance machine learning algorithms with scikit-learn 2nd edition
by Hyatt Saleh
English | 2020 | ISBN: 9781839219061 | 285 Pages | PDF True | 6 MB

Free Download Statistical Learning in Genetics: An Introduction Using R
English | 2023 | ISBN: 3031358503 | 693 Pages | PDF EPUB (True) | 90 MB
This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, where millions of genetic markers for each individual are coupled with medical records, generating an unparalleled resource for linking human genetic variation to human biology and disease. Similar developments have taken place in animal and plant breeding, where genetic marker information is combined with production traits. An important task for the statistical geneticist is to adapt, construct and implement models that can extract information from these large-scale data. An initial step is to understand the methodology that underlies the probability models and to learn the modern computer-intensive methods required for fitting these models. The objective of this book, suitable for readers who wish to develop analytic skills to perform genomic research, is to provide guidance to take this first step.

Free Download Learning Microsoft Forms from Scratch
Last updated 12/2023
Duration: 1h 22m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 506 MB
Genre: eLearning | Language: English
Create and Manage Online Forms with Ease

Free Download Python Machine Learning:
Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
by Sebastian Raschka

Free Download Python Essentials in Minutes: Rapid Learning Series: A Beginner's Guide and Quick Recap (Programming Essentials Unleashed: Rapid Learning Series)
by Lakshminarayan Shrivas
English | 16 July 2023 | ISBN: N/A | ASIN: B0CC3KGYWV | 158 Pages | PDF | 28.5 MB

Free Download On Global Learning: Pragmatic Constructivism, International Practice and the Challenge of Global Governance
English | 2023 | ISBN: 100938578X | 330 Pages | PDF | 2 MB
Global security, climate and health challenges have all created a deep-seated unease about international society's capacity to cope with change. International Relations should help practitioners develop appropriate responses, but Jason Ralph argues that IR would be better positioned to do so if it drew more explicitly on the insights of classical Pragmatism. By bringing this tradition in from the margins, Ralph comprehensively engages norm, practice, realist and global IR theory to extend the 'new constructivist' research agenda in a normative direction. He develops a 'Pragmatic Constructivist' approach to assess how well communities of practice facilitate the learning that mitigates emergent social problems and improves lived experiences. This normative assessment focuses on the extent to which communities of practice are characterized by inclusive reflexivity and deliberative practical judgment. These two tests are then applied to critique existing communities of practice, including the UN Security Council, the UNFCCC and the WHO.

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English | 2023 | ISBN: 3031391780 | 205 Pages | PDF EPUB (True) | 6 MB
This book provides a broad overview of the key results and frameworks for various NSAI tasks as well as discussing important application areas. This book also covers neuro symbolic reasoning frameworks such as LNN, LTN, and NeurASP and learning frameworks. This would include differential inductive logic programming, constraint learning and deep symbolic policy learning. Additionally, application areas such a visual question answering and natural language processing are discussed as well as topics such as verification of neural networks and symbol grounding. Detailed algorithmic descriptions, example logic programs, and an online supplement that includes instructional videos and slides provide thorough but concise coverage of this important area of AI.

Free Download Mathematics for Machine Learning: A Deep Dive into Algorithms
English | 2023 | ASIN : B0CGMVTWQW | 320 Pages | EPUB | 1.2 MB
"Mathematics for Machine Learning: A Deep Dive into Algorithms" is a comprehensive guide that bridges the gap between mathematical theory and practical applications in the dynamic world of machine learning. Whether you're a data science enthusiast, a budding machine learning engineer, or a seasoned practitioner, this book equips you with the essential mathematical foundations that power cutting-edge algorithms and data-driven insights.