
Title

Data Science in Layman's Terms: Machine Learning,New
Delivery time: 8-12 business days (International)
Machine learning has been one of the fastest growing fields over the last decade. Machines that can learn are becoming a part of our everyday lives. Machines that display intelligence and the ability to learn are powered by mathematics and algorithms. These topics do not have to be difficult. This book teaches a basic understanding of everything related to machine learning, so that beginner or intermediate level data scientists can expand their skills sets, and so that curious intellectuals can gain an understanding of the field.This book provides a complete overview of machine learning. It builds on the information presented by its predecessor, Data Science in Layman's Terms: Statistics. The book strikes a balance between an easyreading tutorial and a theory intensive textbook, by first presenting the ideas, conceptually, at a high level, and then diving into the details and mathematics. Every chapter is accompanied by practical examples with Python, and R where applicable. The material in the first half of the book is arranged linearly, where each chapter builds on the knowledge of the previous chapters. The second half of the book explores subfields of machine learning, like natural language processing, computer vision, reinforcement learning, and network science.Some of the practical applications you will learn from this book are how to: Construct a simulated agent that plays games without any instructions, and watch it learn to play on its own. Apply facial recognition to photos and videos in real time. Perform market basket analysis and clustering to improve marketing effectiveness or improve a customer's shopping experience. Identify similar music, using sound alone. Generate realistic looking anime character faces. Identify abstract topics in text documents, and analyze how sentiment about different topics changes over time. Predict pairs of people who might soon connect in a social network, and explore how networks change over time. Convert scans or images of documents to text. Learn how to build neural networks with Keras, and how to probe them with TensorBoard to identify how they could be improved.The GitHub repository accompanying this book can be found at: https: //github.com/nlinc1905/dsiltmlcode
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.