Advanced Machine Learning: Fundamentals and algorithms by Amit Tyagi Paperback B

Description: Advanced Machine Learning by Amit Tyagi, Khushboo Tripathi, Avinash Sharma Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Basic understanding of machine learning algorithms via MATLAB, R, and Python. Inclusion of examples related to real-world problems, case studies, and questions related to futuristic technologies. Publisher Description Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms. Author Biography Dr. Amit Kumar Tyagi is working as an Assistant Professor, at the National Institute of Fashion Technology, 110016, New Delhi, India. Previously, he has worked as Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, 600127, Chennai, Tamilandu, India for the period of 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013. Dr. Khushboo Tripathi received her Ph. D. degree in computer science from the University of Allahabad, Prayagraj. She has completed her M. Tech in Computer Science and Engineering from KNIT Sultanpur, M. Sc, and B.Sc. from the University of Allahabad, Prayagraj. Dr. Avinash Kumar Sharma is currently working as an Associate Professor at the Department of Computer Science & Engineering, Sharda School of Engineering and Technology (SSET), Sharda University, Greater Noida. Dr. Avinash Kumar Sharma has completed his Ph.D at Uttarakhand Technical University, Dehradun (A State Govt. University) in Cloud Computing. Details ISBN 9355516347 ISBN-13 9789355516343 Title Advanced Machine Learning Author Amit Tyagi, Khushboo Tripathi, Avinash Sharma Format Paperback Year 2024 Pages 520 Publisher BPB Publications GE_Item_ID:160707525; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-09-01T06:00:56.000Z

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