Machine Learning Algorithms: Handbook by Aman Kharwal Paperback Book

Description: Machine Learning Algorithms by Aman Kharwal Estimated delivery 3-12 business days Format Paperback Condition Brand New Description In "Machine Learning Algorithms: Handbook," Aman Kharwal, founder of Statso.io, takes you on an enlightening journey through the fascinating world of machine learning. Whether you are a seasoned data scientist or a curious beginner, this book provides a holistic overview of the essential algorithms that form the backbone of modern machine learning.With clarity and precision, Aman demystifies complex concepts, guiding you step-by-step through the fundamentals of regression, classification, clustering, deep learning, and time series forecasting. Each chapter presents a deep dive into a specific algorithm, equipping you with the knowledge and skills to tackle real-world problems head-on.Key Features: 1. Clear Explanations of Machine Learning Algorithms: The book offers clear and concise explanations of machine learning algorithms, ensuring that readers of all levels can grasp the concepts effortlessly.2. Hands-On Approach: Packed with practical examples using Python and code snippets, youll gain a hands-on understanding of how each algorithm works and learn to implement them in real projects.3. Comprehensive Coverage: From linear regression and support vector machines to decision trees and neural networks, the book covers a wide array of algorithms, giving you a solid foundation to explore diverse problem domains.4. Performance Evaluation Methods: Learn how to evaluate the effectiveness of your models, identify areas for improvement, and optimize their performance using industry-standard evaluation techniques.5. Data Preprocessing Techniques: Discover the critical elements of data preprocessing that lay the groundwork for building robust and accurate machine learning models.6. Time Series Forecasting: Explore advanced algorithms specifically designed for time series data, a critical component of numerous real-world applications.7. Appendix for Easy Reference: Access all parameters of commonly used machine learning algorithms in a handy appendix, facilitating efficient model tuning.Whether you are interested in learning the fundamentals of all Machine Learning algorithms, implementation of Machine Learning algorithms using Python, or preparing for an interview, "Machine Learning Algorithms: Handbook" will help you in every way. Details ISBN 935648483X ISBN-13 9789356484832 Title Machine Learning Algorithms Author Aman Kharwal Format Paperback Year 2023 Pages 234 Publisher Clever Fox Publishing GE_Item_ID:145293572; 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

Price: 40.77 USD

Location: Fairfield, Ohio

End Time: 2024-11-05T15:36:01.000Z

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