Machine Learning and Data Science : Fundamentals and Applications

Agrawal, Prateek; Gupta, Charu; Sharma, Anand; Nadaan, Vishu; Joshi, Nisheeth

ISBN 10: 1119775612 ISBN 13: 9781119775614
Editorial: Wiley-Scrivener, 2022
Usado Encuadernación de tapa dura

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Vendedor de AbeBooks desde 6 de abril de 2009

Este artículo en concreto ya no está disponible.

Descripción

Descripción:

Unread book in perfect condition. N° de ref. del artículo 41632137

Denunciar este artículo

Sinopsis:

MACHINE LEARNING AND DATA SCIENCE

Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia.

Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms.

These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

Acerca del autor:

Prateek Agrawal, PhD, completed his BTech in computer science engineering from Uttar Pradesh Technical University, Lucknow, India and MTech from ABV-IIITM, Gwalior, India. He also received his PhD from IKG-Punjab Technical University, Punjab, India. He has more than ten years of research and teaching experience. He has worked as a post-doctoral researcher at the department of ITEC, University of Klagenfurt, Austria and also serves as an associate professor in the school of computer science engineering, Lovely Professional University, India. He has authored more than 50 research papers in various peer reviewed journals and conferences. He is a life member of IET research society. He is a reviewer and editorial member of many journals of high repute. He also served as technical program committee member of many international conferences.

Charu Gupta, PhD, graduated with her BE and MTech in computer science and engineering, with honors. She completed her doctoral degree at the Department of Computer Science, Banasthali Vidyapith, Rajasthan, India. Presently serving as assistant professor at Bhagwan Parshuram Institute of Technology, she has over 10 years of teaching experience. She is a faculty coordinator (Delhi Section) of Free and Open Source Cell (FOSS cell) from the International Centre for Free and Open Source Software (ICFOSS), Govt. of Kerala, India. She is also the faculty co-ordinator of the e-Yantra Lab setup initiative (eLSI) in collaboration with IIT Bombay in the Department of Computer Science and Engineering, BPIT. She also has numerous papers in scientific and scholarly journals to her credit.

Vishu Madaan, PhD, received her BTech and MTech degrees in computer science engineering from Lovely Professional University, Phagwara, India and earned her PhD in computer science from IKG-Punjab Technical University, Punjab. She is an assistant professor with Lovely Professional University and has more than eight years of teaching and research experience. She has authored more than 30 research articles in peer-reviewed conferences and journals. She is also a member of IEEE and is a reviewer for many international conferences and technical journals.

Anand Sharma, PhD, received his PhD in engineering from MUST, Lakshmangarh, his MTech from ABV-IIITM, Gwalior and BE from RGPV, Bhopal. He has been working with Mody University of Science and Technology, Lakshmangarh for over 10 years and has more than 14 years of experience of teaching and research. He has pioneered research in the areas of information systems, information security, IoT, knowledge management and machine learning. He is the Vice-Chairman of CSI-Lakshmangarh Chapter and Student Branch Coordinator of CSI-MUST, student branch. He has authored or edited five books and has more than 70 papers in scientific and scholarly journals and conferences. He has organized more than 15 conferences, seminars, and workshops and is serving on the editorial boards of several journals as and is on the program committees of several international conferences.

Nisheeth Joshi, PhD, is an associate professor at Banasthali Vidyapith, India. He did his PhD in the area of natural language processing and is the recipient of the prestigious ISTE-U.P. Government National Award for Outstanding Work Done in Specified Areas of Engineering and Technology. He has authored several papers in scientific and technical journals and conferences. He has also been a mentor and consultant to various start-ups working in the areas of cognitive computing, natural language processing, speech processing, multimodal information retrieval and machine translation. He was also a consultant to C-DAC Pune where he developed the evaluation methodology for the Mantra Machine Translation System. This Machine Translation System is being used by Rajya Sabha, the Upper House of Parliament of India and Department of Official Languages, with the Government of India. In addition, he has two technology transfers and four copyrights to his credit.

"Sobre este título" puede pertenecer a otra edición de este libro.

Detalles bibliográficos

Título: Machine Learning and Data Science : ...
Editorial: Wiley-Scrivener
Año de publicación: 2022
Encuadernación: Encuadernación de tapa dura
Condición: As New

Los mejores resultados en AbeBooks

Imagen de archivo

Publicado por Wiley-Scrivener, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Antiguo o usado Tapa dura

Librería: HPB-Red, Dallas, TX, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_394288945

Contactar al vendedor

Comprar usado

EUR 156,55
Envío por EUR 3,21
Se envía dentro de Estados Unidos de America

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Prateek Agrawal
Publicado por John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: CitiRetail, Stevenage, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Hardcover. Condición: new. Hardcover. MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781119775614

Contactar al vendedor

Comprar nuevo

EUR 200,01
Envío por EUR 42,64
Se envía de Reino Unido a Estados Unidos de America

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Prateek Agrawal
Publicado por John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Hardcover. Condición: new. Hardcover. MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781119775614

Contactar al vendedor

Comprar nuevo

EUR 218,59
Gastos de envío gratis
Se envía dentro de Estados Unidos de America

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Publicado por Wiley-Scrivener, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: Majestic Books, Hounslow, Reino Unido

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. pp. 350. Nº de ref. del artículo: 379325263

Contactar al vendedor

Comprar nuevo

EUR 234,41
Envío por EUR 7,49
Se envía de Reino Unido a Estados Unidos de America

Cantidad disponible: 3 disponibles

Añadir al carrito

Imagen de archivo

Prateek Agrawal (Ed.)
Publicado por John Wiley & Sons Inc, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura Original o primera edición

Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. 2021. 1st Edition. Hardcover. . . . . . Nº de ref. del artículo: V9781119775614

Contactar al vendedor

Comprar nuevo

EUR 235,92
Envío por EUR 10,50
Se envía de Irlanda a Estados Unidos de America

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Prateek Agrawal
Publicado por Wiley Aug 2022, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Buch. Condición: Neu. Neuware - MACHINE LEARNING AND DATA SCIENCEWritten and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia.Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms.These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. Nº de ref. del artículo: 9781119775614

Contactar al vendedor

Comprar nuevo

EUR 236,52
Envío por EUR 62,50
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen de archivo

Publicado por Wiley-Scrivener, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: Books Puddle, New York, NY, Estados Unidos de America

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. pp. 350. Nº de ref. del artículo: 26384545936

Contactar al vendedor

Comprar nuevo

EUR 250,10
Envío por EUR 3,42
Se envía dentro de Estados Unidos de America

Cantidad disponible: 3 disponibles

Añadir al carrito

Imagen de archivo

Agrawal, Prateek/ Gupta, Charu/ Sharma, Anand/ Nadaan, Vishu/ Joshi, Nisheeth
Publicado por Wiley-Scrivener, 2021
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: Revaluation Books, Exeter, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Hardcover. Condición: Brand New. 350 pages. 0.39x0.39x0.39 inches. In Stock. Nº de ref. del artículo: __1119775612

Contactar al vendedor

Comprar nuevo

EUR 254,09
Envío por EUR 11,53
Se envía de Reino Unido a Estados Unidos de America

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen de archivo

Prateek Agrawal (Ed.)
Publicado por John Wiley & Sons Inc, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America

Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9781119775614

Contactar al vendedor

Comprar nuevo

EUR 295,49
Envío por EUR 8,99
Se envía dentro de Estados Unidos de America

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen de archivo

Prateek Agrawal
Publicado por John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Nuevo Tapa dura

Librería: AussieBookSeller, Truganina, VIC, Australia

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Hardcover. Condición: new. Hardcover. MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781119775614

Contactar al vendedor

Comprar nuevo

EUR 301,03
Envío por EUR 31,69
Se envía de Australia a Estados Unidos de America

Cantidad disponible: 1 disponibles

Añadir al carrito