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Essentials of Python for Artificial Intelligence and Machine Learning

BuchGebunden
509 Seiten
Englisch
Springererschienen am15.02.20242024
This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib.mehr
Verfügbare Formate
BuchGebunden
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextThis includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib.
Details
ISBN/GTIN978-3-031-43724-3
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2024
Erscheinungsdatum15.02.2024
Auflage2024
ReiheSynthesis Lectures on Engineering, Science, and Technology
Seiten509 Seiten
SpracheEnglisch
IllustrationenXIX, 509 p. 163 illus., 148 illus. in color.
Artikel-Nr.54453433

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Statistical Methods and Models.- Python Language Basics.- Introduction to Numpy.- Introduction to Pandas.- Data Manipulation With Pandas.- Data Visualization With Python.- Machine Learning.- Data Pipelines Using Python.- Mlops: Machine Learning Operations.mehr

Schlagworte

Autor

Pramod Gupta has more than 20 years of experience as a researcher and academician in various organizations including work with NASA, GE, VISA, and University of California and startups. He has a PhD from McMaster University in Electrical and Computer Engineering with specialization in Neuro-Control of Robotic Manipulators. He has more than 40 publications on these subjects. His research areas include, Neural Networks, Machine Learning, Artificial Intelligence, Data Modeling and Analytics and Data mining. Presently, he is working as adjunct faculty and independent data science consultant.

Anupam Bagchi has more than 20 years of experience working in the Silicon Valley in various roles. He has experience in big companies like IBM and Stanford, as well as start-ups that have produced cutting edge technologies. Though, most of his carrier has primarily been as a software engineer at various seniority levels, he has been working as an active data scientist for the past 10 years. His experience spans various domains such as XML parsing, content management, big data, ecommerce, internet of things (IoT), networking, artificial intelligence applied to bioinformatics and business intelligence applied to travel industry.
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Bagchi, Anupam