Ganapathi Padmavathi (10 results)

Taschenbuch. Condition: Neu. A Simple Course on Data Science with Python | Padmavathi Ganapathi | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200003317 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Neuware -Usage of Internet and smart devices have simplified and facilitated the operations in remote mode and at the same time, a huge amount of data is generated and shared across the network. Data is produced from multiple sources and the amount is no smaller. Developing meaningful insights from the raw and unstructured data is a major challenge to all the organizations today, as their business processes depend on data. The science behind the data must be understood and Data Science has emerged as a major discipline that tries to address most of the challenges. Data Science is an interdisciplinary field that involves analytical process, scientific techniques, statistical and mathematical concepts, computer science, programming knowledge, data analytics, big data, data mining, machine learning, and deep learning domains. The important topics are discussed, and Python is used for implementation. The course is suitable for Professionals and Students to learn the concepts thoroughly and start a career in Data Science.Books on Demand GmbH, Überseering 33, 22297 Hamburg 212 pp. Englisch.

Condition: New. In.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Usage of Internet and smart devices have simplified and facilitated the operations in remote mode and at the same time, a huge amount of data is generated and shared across the network. Data is produced from multiple sources and the amount is no smaller. Developing meaningful insights from the raw and unstructured data is a major challenge to all the organizations today, as their business processes depend on data. The science behind the data must be understood and Data Science has emerged as a major discipline that tries to address most of the challenges. Data Science is an interdisciplinary field that involves analytical process, scientific techniques, statistical and mathematical concepts, computer science, programming knowledge, data analytics, big data, data mining, machine learning, and deep learning domains. The important topics are discussed, and Python is used for implementation. The course is suitable for Professionals and Students to learn the concepts thoroughly and start a career in Data Science. 212 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ganapathi PadmavathiProf. Padmavathi Ganapathi is the Professor and Dean-School of Physical Sciences and Computational Sciences, Avinashilingam Institute for Home Science and Higher Education for Women. Her areas of interest include,.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Usage of Internet and smart devices have simplified and facilitated the operations in remote mode and at the same time, a huge amount of data is generated and shared across the network. Data is produced from multiple sources and the amount is no smaller. Developing meaningful insights from the raw and unstructured data is a major challenge to all the organizations today, as their business processes depend on data. The science behind the data must be understood and Data Science has emerged as a major discipline that tries to address most of the challenges. Data Science is an interdisciplinary field that involves analytical process, scientific techniques, statistical and mathematical concepts, computer science, programming knowledge, data analytics, big data, data mining, machine learning, and deep learning domains. The important topics are discussed, and Python is used for implementation. The course is suitable for Professionals and Students to learn the concepts thoroughly and start a career in Data Science.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides vital research on the application of machine learning techniques for network security research. Highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the a.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the advancement of technology continues, cyber security continues to play a significant role in today's world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.