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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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Guardat en:
Autors principals: Nyamawe, Ally S., Mjahidi, Mohamedi M., Nnko, Noe E., Diwani, Salim A., Minja, Godbless G., Malyango, Kulwa
Format: Online
Idioma:anglès
Publicat: Taylor & Francis 2025
Matèries:
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
Accés en línia:ONIX_20250206_9781040267639_2
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ONIX_20250206_9781040267639_2

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