Designing Machine Learning Systems - D, Balakrishnan

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Résumé :
Machine learning has become a critical component of modern technology, shaping industries from healthcare and finance to marketing and entertainment. Yet, building effective machine learning systems is about more than just selecting the right algorithm...

Biographie:
Mr. D. Balakrishnan, received B.Tech degree in the field of Information Technology from Kamaraj College of Engineering and Technology, Virudhunagar, Affiliated to Anna University Chennai, Tamilnadu, India. He received M.Tech degree in the field of Computer Science and Engineering from Kalasalingam University, Krishnankoil, Tamil Nadu, India. Now, He is doing Ph.D in Computer Science and Engineering (Internet of Things) in Kalasalingam Academy Research Education. He published in many Research paper in various journals,National and International Conferences. He is having more than 14+ years of teaching experience. His area of interest include Internet of Things (IoT), Machine Learning, Operating Systems and Network Security etc. He is currently working as Assistant Professor in the Department of Computer Science and Engineering at Kalasalingam Academy of Research and Education, Virudhunagar District, Tamilnadu, India. Mrs. M. Umasree, received B.E Degree in the field of Computer science and Engineering from V.P.M.M Engineering College for Women, Krishnankoil,Virudhunagar District, Affiliated to Anna University Chennai, Tamilnadu, India. She received M.Tech Degree in the field of Computer Science and Engineering from Kalasalingam University, Krishnankoil, Tamil Nadu, India. She published many Research paper in National and International Conferences.Her area of interest include Internet of Things (IoT), Machine Learning, Cloud Computing and Network Security etc. She is currently working as Assistant Professor in the Department of Computer Science and Engineering at Sri Vidya College of Engineering & Technology,Virudhunagar-626005, Virudhunagar(Dt), Tamilnadu, India. Dr. N. Sridevi is a Assitant Professor, Department of Computer Science and Engineering in Sathyabama Institute of Science and Technology, India. She received her B.E., from Anna University, India. She received her M.E. and Ph.D. from Anna University, India. She is a member in ISTE, IETE, IASTE and IAE. She has published 11 papers in national and international conferences/journals. Her research interests include Wireless Networks security, Mobile Ad hoc Networks....

Sommaire:
it requires a holistic approach that considers design, scalability, deployment, and ongoing maintenance. This book, Designing Machine Learning Systems, offers readers a comprehensive guide to creating resilient and scalable machine learning systems that can deliver real-world results. Whether you're an engineer, data scientist, or product manager, this book is designed to bridge the gap between theory and practice, emphasizing system design principles crucial for long-term success. Through a step-by-step approach, we explore key topics such as data engineering, model selection, and the deployment lifecycle. Each chapter provides insights into best practices, tools, and frameworks that simplify the process of taking machine learning from experimentation to production. With a focus on reliability, scalability, and performance, this book aims to equip readers with a practical toolkit to build robust machine learning systems capable of handling complex demands. By the end, readers will not only understand the technical foundations but also gain the confidence to design, deploy, and monitor machine learning systems that align with real-world business objectives....