Title
Machine Learning for Dummies,Used
Delivery time: 8-12 business days (International)
Your nononsense guide to making sense of machine learningMachine learning can be a mindboggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, realtime ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a muchneeded entry point for anyone looking to use machine learning to accomplish practical tasks.Covering the entrylevel topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learningbased tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data&;or anything in between&;this guide makes it easier to understand and implement machine learning seamlessly. Grasp how daytoday activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform patternoriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using AnacondaDive into this complete beginner's guide so you are armed with all you need to know about machine learning!
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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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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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Frequently Asked Questions
- Q: What topics are covered in 'Machine Learning for Dummies'? A: 'Machine Learning for Dummies' covers basic concepts of machine learning, programming languages like Python and R, and practical applications, including data analysis and pattern recognition.
- Q: Is this book suitable for beginners? A: Yes, this book is specifically designed for beginners who want to understand machine learning without prior experience.
- Q: What programming languages does the book teach? A: The book teaches the fundamentals of Python and R, which are essential for implementing machine learning tasks.
- Q: How many pages does the book have? A: 'Machine Learning for Dummies' has a total of 410 pages.
- Q: Who are the authors of this book? A: The book is authored by John Paul Mueller, a data science expert.
- Q: What is the binding type of the book? A: The book is available in paperback binding.
- Q: When was 'Machine Learning for Dummies' published? A: The book was published on January 1, 2016.
- Q: Does the book include practical examples? A: Yes, it includes practical examples and exercises to help readers apply machine learning concepts.
- Q: What level of math knowledge is required to understand the book? A: While some basic math knowledge is helpful, the book is designed to simplify complex concepts for readers who may be apprehensive about math.
- Q: Can this book help with real-world machine learning applications? A: Yes, the book offers insights into how machine learning is used in real-world applications, such as fraud detection and automation.