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Machine Learning: The Ultimate Beginner's Guide to Machine Learning - Paperback
$21.55
In stock
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Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.
by Edward Mize (Author)
Are you ready to leverage the power of machine learning? Well, this is the basic theory you need to go through first!
What if you could learn about machine learning without needing any coding experience or prior knowledge?
Imagine adding 'machine learning' to your LinkedIn profile and actually be able to use it to sort through data!
Multi-time best selling information technology and mathematics author, Edward Mize, presents the perfect introduction to machine learning for any beginner. With books and a blog that receives tens of thousands of readers monthly, Edward has compiled the most practical and high-level introduction to the components and statistical concepts found in machine learning. Well-known and incredibly popular for his ability to teach complex topics in an easy-to-understand way, you won't have any issues grasping these plain-English explanations.
Do you want to learn about and implement machine learning but don't know where to begin?
Do you want to master the basics so you can start digging deeper into machine learning?
Or if the idea of exploring machine learning in an easy and engaging way at home sounds appealing to you...
THEN THIS BOOK IS FOR YOU!
In this book, you will get:
- A comprehensive breakdown of the basics of machine learning that every beginner needs to know, understand, and master (explained in simple terms that anyone can understand).
- Clear explanations and visual representations of all concepts taught, such as decision trees.
- An introduction to the different concepts in machine learning, such as association analysis, recommender systems, regression analysis, data reduction, and more.
- Edward's personal email address for unlimited customer support if you have any questions.
- And much, much more...
Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page!
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Cindi Book is the trade name of Cindi Book LLC, a Texas-registered online-only retailer. We provide clear contact, shipping, return, and checkout information so customers can make informed purchasing decisions.
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Cindi Book LLC
2124 Cactus Ct, Keller, TX 76248
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Orders ship within the United States. Cindi Book branded titles typically arrive in 5–9 business days, including 0–2 business days of handling and 5–7 business days in transit. Supplier-fulfilled items typically arrive in 8–11 business days, including 1–3 business days of handling and 7–8 business days in transit. Business days are Monday–Friday, excluding U.S. federal holidays. Delivery estimates are not guarantees. Cindi Book items have a flat $9.99 shipping charge. Shopify Collective items use shipping rates set by the supplier. Orders containing items from different fulfillment sources may include more than one shipping charge. Your full shipping total is shown at checkout before payment.
Returns & Refunds
Standard U.S. returns are accepted for eligible new, unopened items within 30 days of carrier delivery. Returns are by mail. Customers are responsible for standard return shipping, there is no restocking fee, and standard exchanges are not offered. Once an approved return is received and inspected, the refund is issued to the original payment method within 5 business days. Damaged, defective, or incorrect items are handled at no return-shipping cost to the customer.
Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.
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