Tag: Machine

Free Download Hands-On TinyML
by Banerjee, Rohan;
English | 2023 | ISBN: 9355518447 | 308 pages | True PDF | 32.32 MB
Learn how to deploy complex machine learning models on single board computers, mobile phones, and microcontrollers

Free Download Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries
by Goel Neha
English | 2023 | ISBN: 1668487853 | 570 pages | True PDF EPUB | 55 MB
Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.

Free Download Graph-Powered Analytics and Machine Learning with TigerGraph
by D, Victor Lee Ph.;Nguyen, Phuc Kien;Thomas, Alexander;
English | 2023 | ISBN: 1098106652 | 317 pages | True PDF | 18.65 MB
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

Free Download Explainable Machine Learning Models and Architectures
by Tripathi, Suman Lata;Mahmud, Mufti;
English | 2023 | ISBN: 1394185847 | 273 pages | True PDF EPUB | 87.91 MB
Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine learning models. Many real-time applications like processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems to have a lot of scope for improvements in terms of accuracy, speed, computational powers and overall power consumption.

Free Download Encyclopedia of Data Science and Machine Learning
by Wang John
English | 2023 | ISBN: 1799892204 | 3143 pages | True EPUB | 260/154.52 MB
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed.

Free Download Debugging Machine Learning Models with Python
by Madani, Ali;MacKinnon, Stephen;
English | 2023 | ISBN: 1800208588 | 345 pages | True PDF | 28.37 MB
Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world success

Free Download Controlling Epidemics With Mathematical and Machine Learning Models
by Varghese Abraham
English | 2023 | ISBN: 1799883434 | 278 pages | True PDF EPUB | 36.68 MB
Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.

Free Download Combating Women’s Health Issues with Machine Learning: Challenges and Solutions
by Edited by Meenu Gupta and D. Jude Hemanth
English | 2023 | ISBN: 1032455195 | 251 pages | True PDF | 27.51 MB
The main focus of this book is the examination of women’s health issues and the role machine learning can play as a solution to these challenges. This book will illustrate advanced, innovative techniques/frameworks/concepts/machine learning methodologies, enhancing the future healthcare system. Combating Women’s Health Issues with Machine Challenges and Solutions examines the fundamental concepts and analysis of machine learning algorithms. The editors and authors of this book examine new approaches for different age-related medical issues that women face. Topics range from diagnosing diseases such as breast and ovarian cancer to using deep learning in prenatal ultrasound diagnosis. The authors also examine the best machine learning classifier for constructing the most accurate predictive model for women’s infertility risk. Among the topics discussed are gender differences in type 2 diabetes care and its management as it relates to gender using artificial intelligence. The book also discusses advanced techniques for evaluating and managing cardiovascular disease symptoms, which are more common in women but often overlooked or misdiagnosed by many healthcare providers. The book concludes by presenting future considerations and challenges in the field of women’s health using artificial intelligence. This book is intended for medical researchers, healthcare technicians, scientists, programmers and graduate-level students looking to understand better and develop applications of machine learning/deep learning in healthcare scenarios, especially concerning women’s health conditions.

Free Download Artificial Intelligence and Machine Learning Techniques for Civil Engineering
by Plevris Vagelis
English | 2023 | ISBN: 1668456435 | 404 pages | True PDF EPUB | 66.56 MB
In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering.

Published 9/2023
Created by Marco Peixeiro
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 44 Lectures ( 7h 13m ) | Size: 3 GB
Deploy ML models with Streamlit and share your data science work with the world