Free Download AWS Machine Learning by Example
Updated: September 24, 2019
Duration: 1h 25m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 702 MB
Level: Intermediate | Genre: eLearning | Language: English
Take a deeper dive into machine learning with Amazon Web Services (AWS). In this practical course, instructor Jonathan Fernandes helps to familiarize you with common machine learning tasks, demonstrating how to approach each one using key techniques: binary classification, multiclass classification, and regression. Throughout the course, he walks through several examples, using Kaggle datasets for hands-on exploration. Plus, he reviews some essential machine learning concepts and helps to familiarize you with other AWS capabilities, including SageMaker and Deep Learning AMIs.

Free Download Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch
English | 2023 | ISBN: 1098106822 | 391 Pages | EPUB (True) | 7 MB
Get up to speed on Apache Spark, the popular engine for large-scale data processing, including machine learning and analytics. If you're looking to expand your skill set or advance your career in scalable machine learning with MLlib, distributed PyTorch, and distributed TensorFlow, this practical guide is for you. Using Spark as your main data processing platform, you'll discover several open source technologies designed and built for enriching Spark's ML capabilities. Scaling Machine Learning with Spark examines various technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLFlow, TensorFlow, PyTorch, and Petastorm. This book shows you when to use each technology and why. If you're a data scientist working with machine learning, you'll learn how to: Build practical distributed machine learning workflows, including feature engineering and data formats Extend deep learning functionalities beyond Spark by bridging into distributed TensorFlow and PyTorch Manage your machine learning experiment lifecycle with MLFlow Use Petastorm as a storage layer for bridging data from Spark into TensorFlow and PyTorch Use machine learning terminology to understand distribution strategies

Free Download Paulo Spurgeon De Paula, Carmen Filgueiras, Joanna Filguerias, "Learning Portuguese: Conversation and Grammar"
English | 2010 | ISBN: 8578440528 | 363 pages | PDF | 76 MB
The book brings 300 games and/or activities for use in the classroom, classified in 4 levels of difficulty: basic, intermediate, advanced and any level. The activities are aimed at three major areas of English teaching: icebreakers or warm-up, vocabulary and grammar. Games require little or no preparation on the part of the teacher. With a small theoretical introduction on the use of games.

Free Download Learning Disability and Inclusion Phobia: Past, Present, Future By C. F. Goodey
2016 | 194 Pages | ISBN: 0415822009 | PDF | 3 MB
The social position of learning disabled people has shifted rapidly over the last 20 years, from long-stay institutions, first into community homes and day centres, and now to a currently emerging goal of "ordinary lives" for individuals using person-centred support and personal budgets. These approaches promise to replace a century and a half of "scientific" pathological models based on expert assessment, and of the accompanying segregated social administration which determined how and where people led their lives, and who they were. This innovative volume explains how concepts of learning disability, intellectual disability and autism first came about, describes their more recent evolution in the formal disciplines of psychology, and shows the direct relevance of this historical knowledge to present and future policy, practice and research. Goodey argues that learning disability is not a historically stable category and different people are considered "learning disabled" as it changes over time. Using psychological and anthropological theory, he identifies the deeper lying pathology as "inclusion phobia", in which the tendency of human societies to establish an in-group and to assign out-groups reaches an extreme point. Thus the disability we call "intellectual" is a concept essential only to an era in which to be human is essentially to be deemed intelligent, autonomous and capable of rational choice. Interweaving the author's historical scholarship with his practice-based experience in the field, Learning Disability and Inclusion Phobia challenges myths about the past as well as about present-day concepts, exposing both the historical continuities and the radical discontinuities in thinking about learning disability.

Free Download Leadership for Deeper Learning: Facilitating School Innovation and Transformation by Jayson W. Richardson, Justin Bathon
English | 2021 | ISBN: 0367336170, 0367342758 | 190 pages | PDF | 1,5 MB
This exciting book explores how leaders have implemented, sustained, and pushed innovative, deeper learning opportunities in their school settings.

Free Download Deep Reinforcement Learning in Unity: With Unity ML Toolkit by Abhilash Majumder
English | December 27, 2020 | ISBN: 1484265025 | 584 pages | MOBI | 26 Mb
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.

Lowrie T Digital Games and Mathematics Learning Potential, and Pitfalls 2017 | 8.69 MB
N/A | 318 Pages

Title: DK-SIMINA 2 in 1 Multiplication Table and Digital Addition Table P0PP Math Toy, Rainbow Dimple Fingertip Toy, Multiplication Table Math Manipulation Game, Create Various Math Operations (1 PCS)
Author: N/A
Year: N/A

Free Download Machine Learning Foundations: Calculus
Released 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 29m | Size: 423 MB
Studying artificial intelligence and machine learning can be difficult enough, but what if you threw some calculus into the mix? It may sound daunting, but understanding the foundations of calculus can help you design and implement machine learning algorithms, and without a solid foundation in calculus your work in machine learning can quickly become overwhelming. In this course, Terezija Semenski teaches you functions, derivatives, integrals, and the foundations of multivariate calculus. If you struggle with calculus concepts and techniques used to design and implement ML algorithms, check out this course with Terezija for the knowledge to overcome those challenges.

Free Download Machine Learning and AI Foundations: Value Estimations
Duration: 1h 4m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 155 MB
Level: Beginner + Intermediate | Genre: eLearning | Language: English
Value estimation—one of the most common types of machine learning algorithms—can automatically estimate values by looking at related information. For example, a website can determine how much a house is worth based on the property's location and characteristics. In this project-based course, discover how to use machine learning to build a value estimation system that can deduce the value of a home. Follow Adam Geitgey as he walks through how to use sample data to build a machine learning model, and then use that model in your own programs. Although the project featured in this course focuses on real estate, you can use the same approach to solve any kind of value estimation problem with machine learning.
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Learn ChatGPT The Future of Learning by A A Kabir | 503.97 KB
N/A | 34 Pages

Title: ebookshelve.top
Author: A.A. KABIR
Year: 2016