Zion Tech Group

Learning From Data


Price: $28.00
(as of Dec 31,2024 15:18:53 UTC – Details)




Publisher ‏ : ‎ AMLBook (January 1, 2012)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 213 pages
ISBN-10 ‏ : ‎ 1600490069
ISBN-13 ‏ : ‎ 978-1600490064
Item Weight ‏ : ‎ 1.45 pounds
Dimensions ‏ : ‎ 9.45 x 6.69 x 0.39 inches

Customers say

Customers find the book provides a good introduction to learning from data. They appreciate the clear presentation of concepts and principles in an intuitive way. The book is structured well and provides thorough explanations of different theories and models. Readers appreciate the author’s pacing, weaving narrative into the knowledge early on. Overall, they find the book practical and useful as a complement to MOOCs on machine learning. They also mention that the printing quality is unbeatable for the price.

AI-generated from the text of customer reviews


In today’s digital age, data is everywhere. From social media interactions to online shopping habits, businesses and organizations have access to more information than ever before. But what good is all this data if we don’t know how to use it effectively?

Learning from data is crucial for making informed decisions and driving success in any industry. By analyzing and interpreting data, we can uncover valuable insights, identify trends, and predict future outcomes. Whether it’s improving customer experience, optimizing marketing strategies, or streamlining operations, data-driven decision-making can have a significant impact on the bottom line.

But learning from data isn’t just about collecting numbers and statistics. It also involves understanding the context behind the data, asking the right questions, and drawing meaningful conclusions. Data literacy is essential for anyone looking to harness the power of data in their work.

So, whether you’re a business owner, a marketer, a researcher, or simply someone curious about the world around you, learning from data is a skill worth investing in. By embracing data-driven decision-making, we can unlock new opportunities, drive innovation, and stay ahead of the curve in today’s fast-paced world.
#Learning #Data,principles of machine learning: the three perspectives

Comments

Leave a Reply

Chat Icon