Practical Machine Learning

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application...

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প্রধান লেখক: Nyamawe, Ally S., Mjahidi, Mohamedi M., Nnko, Noe E., Diwani, Salim A., Minja, Godbless G., Malyango, Kulwa
বিন্যাস: Online
ভাষা:ইংরেজি
প্রকাশিত: Taylor & Francis 2025
বিষয়গুলি:
অনলাইন ব্যবহার করুন:ONIX_20250206_9781040267639_2
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author Nyamawe, Ally S.
Mjahidi, Mohamedi M.
Nnko, Noe E.
Diwani, Salim A.
Minja, Godbless G.
Malyango, Kulwa
author_browse Diwani, Salim A.
Malyango, Kulwa
Minja, Godbless G.
Mjahidi, Mohamedi M.
Nnko, Noe E.
Nyamawe, Ally S.
author_facet Nyamawe, Ally S.
Mjahidi, Mohamedi M.
Nnko, Noe E.
Diwani, Salim A.
Minja, Godbless G.
Malyango, Kulwa
author_sort Nyamawe, Ally S.
collection Directory of Open Access Books
description The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models. This is a core resource for students and instructors of machine learning and data science looking for a beginner-friendly material which offers real-world applications and takes ethical discussions into account. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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spelling doab-20.500.12854ir-1519712025-07-21T15:44:42Z Practical Machine Learning Nyamawe, Ally S. Mjahidi, Mohamedi M. Nnko, Noe E. Diwani, Salim A. Minja, Godbless G. Malyango, Kulwa Ethics pre-processing data collection hyperparameter optimization data cleaning programming choosing algorith models cloud computing responsible AI explainable AI XAI classification regression python thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models. This is a core resource for students and instructors of machine learning and data science looking for a beginner-friendly material which offers real-world applications and takes ethical discussions into account. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. 2025-02-17T03:30:23Z 2025-02-17T03:30:23Z 2025-02-06T15:10:27Z 2025 book ONIX_20250206_9781040267639_2 https://library.oapen.org/handle/20.500.12657/98246 9781040267639 9781032770291 9781003486817 9781032782164 9781040267660 https://directory.doabooks.org/handle/20.500.12854/151971 eng open access image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/98246/1/9781040267639.pdf https://library.oapen.org/bitstream/20.500.12657/98246/1/9781040267639.pdf Taylor & Francis Chapman and Hall/CRC Press 10.1201/9781003486817 10.1201/9781003486817 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 9781040267639 9781032770291 9781003486817 9781032782164 9781040267660 Chapman and Hall/CRC Press 226 open access
spellingShingle Ethics
pre-processing
data collection
hyperparameter optimization
data cleaning
programming
choosing algorith
models
cloud computing
responsible AI
explainable AI
XAI
classification
regression
python
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
Nyamawe, Ally S.
Mjahidi, Mohamedi M.
Nnko, Noe E.
Diwani, Salim A.
Minja, Godbless G.
Malyango, Kulwa
Practical Machine Learning
title Practical Machine Learning
title_full Practical Machine Learning
title_fullStr Practical Machine Learning
title_full_unstemmed Practical Machine Learning
title_short Practical Machine Learning
title_sort practical machine learning
topic Ethics
pre-processing
data collection
hyperparameter optimization
data cleaning
programming
choosing algorith
models
cloud computing
responsible AI
explainable AI
XAI
classification
regression
python
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
topic_facet Ethics
pre-processing
data collection
hyperparameter optimization
data cleaning
programming
choosing algorith
models
cloud computing
responsible AI
explainable AI
XAI
classification
regression
python
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
url ONIX_20250206_9781040267639_2
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