Practical Machine Learning with Rust: Creating Intelligent Applications in Rust by Joydeep Bhattacharjee
English | December 11, 2019 | ISBN: 1484251202 | 369 pages | MOBI | 2.47 Mb
Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you'll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud.

Objects to Learn about and Objects for Learning 1: Which Teaching Practices for Which Issues?
English | 2022 | ISBN: 1786306719 | 240 Pages | EPUB (True) | 2 MB
Resulting from a conference that took place in Amiens, France, in June 2019, this book examines the place and role of objects centered in teaching practices from kindergarten to university, both in the context of France and elsewhere. These "objects for learning" are considered in their physicality as productions, work or signs that are used for learning. They become "objects to learn about" when the object itself is the learning objective.

Michael Keet, "Moneyfulness®: Learning to Live with Money"
English | ISBN: 1642796166 | 2020 | 220 pages | EPUB | 2 MB
Moneyfulness® is a unique combination of financial and mindfulness insight to address the heart of money stress: how people think about money.

Nandinee Haq, "Machine Learning for Medical Image Reconstruction: 5th International Workshop, MLMIR 2022, Held in Conjunction with MICC"
English | ISBN: 3031172469 | 2022 | 165 pages | PDF | 26 MB
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.

Machine Learning Empowered Intelligent Data Center Networking:
Evolution, Challenges and Opportunities
English | 2023 | ISBN: 9811973946 | 170 Pages | PDF EPUB (True) | 6 MB

Liberating Learning: Educational Change as Social Movement By Santiago Rincón-Gallardo
2019 | 138 Pages | ISBN: 1138491748 | PDF | 4 MB
This book is about three complementary ideas: 1) learning is a practice of freedom; 2) liberating learning in public education requires widespread cultural change in classrooms, schools, and entire education systems; and 3) social movements have been the most powerful vehicles for widespread cultural change, and in their logic of operation lie the keys to liberate learning. Drawing on existing knowledge and new research on educational change, the author offers nine principles of action to liberate learning in schools and across entire educational systems. Topics discussed include learning, pedagogy, leadership, education policy, widespread cultural change, collective action, and whole system improvement. Written for educators and leaders interested in transforming teaching and learning in classrooms and schools, as well as for public intellectuals and people interested in widespread pedagogical change, the book articulates a new way to think about and pursue educational change.

Learning GitHub Actions
English | 2023 | ISBN: 9781098131067 | 99 Pages | MOBI EPUB (True) | 12 MB
Automate your build, test, and deployment pipeline with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using actions in GitHub. You'll learn what they are and how they can be used, created, and incorporated into your processes.

Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series) by Ethem Alpaydin
English | March 24, 2020 | ISBN: 0262043793 | 712 pages | PDF (Converted) | 15 Mb
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.

Vishnu Subramanian, "Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch"
English | ISBN: 1788624335 | 2018 | 262 pages | PDF | 2 MB
Build neural network models in text, vision and advanced analytics using PyTorch

AWS Certified Machine Learning Specialty : Study Guide with Practice Questions & Labs - Data Engineering, Analysis and Modeling : First Edition - 2022 by IP Specialist
English | 2022 | ISBN: N/A | ASIN: B09QMV7TRZ | 430 pages | EPUB | 26 Mb
AWS MLS C01 - AWS Certified Machine Learning Specialty: Study Guide with Practice Questions and Labs - First Edition