Machine Learning For Computer Scientists And Data Analysts
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Machine Learning For Computer Scientists And Data Analysts
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Author : Setareh Rafatirad
language : en
Publisher: Springer Nature
Release Date : 2022-07-09
Machine Learning For Computer Scientists And Data Analysts written by Setareh Rafatirad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-09 with Technology & Engineering categories.
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
Algorithms Discover The Computer Science And Artificial Intelligence Used To Solve Everyday Human Problems Optimize Habits Learn Anything And Organize Your Life
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Author : Trustgenics
language : en
Publisher: Thomas William
Release Date :
Algorithms Discover The Computer Science And Artificial Intelligence Used To Solve Everyday Human Problems Optimize Habits Learn Anything And Organize Your Life written by Trustgenics and has been published by Thomas William this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Now, you might look at this title and shy away, thinking that a book with "algorithms" in its title must be just for techies and computer scientists. However, this book is very accessible to those with no background in computer science. In fact it is a must-listen for anyone interested in what our digital future looks like. Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day we make millions of decisions, from selecting a life partner, to organizing your closet, to scheduling your life, to having a conversation. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Studies continue to show that the algorithms can do a better job than experts in a range of fields. Everywhere you look, artificial intelligence is beginning to permeate all types of industries, and expectations are that it will continue to grow in the future. Imagine the possibilities: More accurate medical diagnoses. Better military strategies that could save lives. Detect abnormal genes in an unborn child. Predict changes in weather and earthquake. Safer self-driving cars that have learned your personal preferences. Analyze DNA samples and identify potential medical risks. Smart homes that will anticipate your every needs. Predicting where cyber hackers and online threats may occur. Artificial intelligence is reshaping health care, science, engineering, and life. The results will make our lives more productive, better organized, and essentially much happier. Get started Now!
Machine Learning And Data Analytics For Predicting Managing And Monitoring Disease
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Author : Roy, Manikant
language : en
Publisher: IGI Global
Release Date : 2021-06-25
Machine Learning And Data Analytics For Predicting Managing And Monitoring Disease written by Roy, Manikant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.
The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy
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Author : John Macintyre
language : en
Publisher: Springer Nature
Release Date : 2021-10-27
The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John Macintyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-27 with Computers categories.
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
Research Symposium On Data Analytics Machine Learning And Artificial Intelligence Damlai 2024
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Author : Prof. (Dr.) Shailesh
language : en
Publisher: Allied Publishers
Release Date : 2024-03-29
Research Symposium On Data Analytics Machine Learning And Artificial Intelligence Damlai 2024 written by Prof. (Dr.) Shailesh and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.
This proceedings of Symposium on DAMLAI–2024, jointly organized by GTU – Ahmedabad and ISI – Kolkata, includes extended abstracts of research problems under study, by the research scholars of GTU, along with the proposed solution and primary results. These problems encompass blood glucose estimation, state of human minds during the meditation, underwater wireless sensor networks, automatic analog circuit environment, image steganography, employability of the students, reward-based crowdfunding, flood hazard, prediction of lung cancer, cloud computing security and wireless networked control systems. The book also contains various use cases, new algorithms, novel solutions of real-time problems based on AI, ML and DA for supply chain management, quality management, manufacturing systems, healthcare, transportation developed by invited experts of Indian Statistical Institute, Kolkata and Indian Institute of Management, Ahmedabad. The book will be useful to the students of under graduate and post graduate who are willing to contribute in related cutting-edge technologies. It will also inspire them to explore opportunities in artificial intelligence and connected research domains.
Practical Machine Learning For Data Analysis Using Python
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Author : Abdulhamit Subasi
language : en
Publisher: Academic Press
Release Date : 2020-06-05
Practical Machine Learning For Data Analysis Using Python written by Abdulhamit Subasi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-05 with Computers categories.
Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. - Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas - Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data - Explores important classification and regression algorithms as well as other machine learning techniques - Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features
Foundations Of Data Science And Data Analysis Tools
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-03-03
Foundations Of Data Science And Data Analysis Tools written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-03 with Computers categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Machine Learning Approaches And Applications In Applied Intelligence For Healthcare Data Analytics
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Author : Abhishek Kumar
language : en
Publisher: CRC Press
Release Date : 2022-03-09
Machine Learning Approaches And Applications In Applied Intelligence For Healthcare Data Analytics written by Abhishek Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-09 with Computers categories.
In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity. Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges. This book is useful for research scholars and students involved in critical condition analysis and computation models.
Management Decision Making Big Data And Analytics
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Author : Simone Gressel
language : en
Publisher: SAGE
Release Date : 2020-10-12
Management Decision Making Big Data And Analytics written by Simone Gressel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Business & Economics categories.
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
2024 Yearbook Emerging Technologies In Learning
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Author : Michael E. Auer
language : en
Publisher: Springer Nature
Release Date : 2025-05-29
2024 Yearbook Emerging Technologies In Learning written by Michael E. Auer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
This book brings together global scholars to examine critical developments in education, from the integration of artificial intelligence (AI) in various educational contexts to the evolving relationship between on-campus, remote, and hybrid learning and the rise of digitally native learners. As educational paradigms shift rapidly in response to globalization, digitization, and technological advances, this book provides a timely exploration of the future of higher education. Organized into three sections, the book delves into: Generative AI in Higher Education—Unpacking the transformative potential and challenges of AI tools in teaching and learning. Remote, Virtual, and Hybrid Teaching in Higher Education—Exploring innovative teaching modalities that redefine classroom boundaries. Educational Research and Emerging Pedagogical Trends in Higher Education—Highlighting cutting-edge research that addresses the evolving demands of modern learners. For educators, researchers, and EdTech professionals, this yearbook serves as an essential resource to stay ahead in the ever-evolving landscape of technology-enhanced learning.