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Essentials of Python for Artificial Intelligence and Machine Learning
Buch von Anupam Bagchi (u. a.)
Sprache: Englisch

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Beschreibung
This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python¿s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. 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. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.
This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python¿s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. 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. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.
Über den 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.

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.

Details
Erscheinungsjahr: 2024
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Synthesis Lectures on Engineering, Science, and Technology
Inhalt: xix
509 S.
15 s/w Illustr.
148 farbige Illustr.
509 p. 163 illus.
148 illus. in color.
ISBN-13: 9783031437243
ISBN-10: 3031437241
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Bagchi, Anupam
Gupta, Pramod
Hersteller: Springer Nature Switzerland
Springer International Publishing
Synthesis Lectures on Engineering, Science, and Technology
Maße: 246 x 173 x 34 mm
Von/Mit: Anupam Bagchi (u. a.)
Erscheinungsdatum: 15.02.2024
Gewicht: 1,059 kg
Artikel-ID: 127364640
Über den 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.

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.

Details
Erscheinungsjahr: 2024
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Synthesis Lectures on Engineering, Science, and Technology
Inhalt: xix
509 S.
15 s/w Illustr.
148 farbige Illustr.
509 p. 163 illus.
148 illus. in color.
ISBN-13: 9783031437243
ISBN-10: 3031437241
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Bagchi, Anupam
Gupta, Pramod
Hersteller: Springer Nature Switzerland
Springer International Publishing
Synthesis Lectures on Engineering, Science, and Technology
Maße: 246 x 173 x 34 mm
Von/Mit: Anupam Bagchi (u. a.)
Erscheinungsdatum: 15.02.2024
Gewicht: 1,059 kg
Artikel-ID: 127364640
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