Description
- ISBN-13: 9780141975658
- Publisher: Penguin Books Ltd
- Binding: Paperback
- No of Pages: 544
- Spine Width: 29 mm
- Width: 130 mm
- ISBN-10: 0141975652
- Publisher Date: 18 Apr 2013
- Height: 197 mm
- Returnable: Y
- Weight: 366 gr
Availability: Out of Stock
The Signal and the Noise
SKU: 9780141975658
Original price was: ₹799.00.₹639.00Current price is: ₹639.00.
“The Signal and the Noise” by Mari Andrew explores how to navigate uncertainty and make better predictions. From the stock market to everyday life, Andrew reveals how to cut through the noise of data and find the signal, offering insights into forecasting and smarter decision-making. ISBN: 9780141975658
Out of stock
Description
Additional information
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| Weight | 0.5 kg |
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Arjun Kumar Arora –
An okay read. I grasped some useful concepts, but it wasn’t a page-turner.
Sahil Khadane –
A must read for data scientists! Great insights into signal vs noise.
Prachi Charde –
I thought it was an above average book. The topic was interesting and somewhat relevant.
Shubh Maheshwari –
Informative and well-researched, though a bit academic for casual readers.
Sagar –
A thought-provoking read! Some parts were a bit dense, but overall, a valuable perspective on prediction.
Rahul Rakesh –
Helpful for understanding data analysis, but it is a slow and steady read.
Garima Sharma –
Some chapters were great, others were a bit of a slog. Mixed feelings overall.
Hemant Tandon –
A game-changer! This book has transformed my approach to problem-solving. It’s useful information.
Susanta Mandal –
Interesting concepts, but the writing felt a bit dry at times. Could have used more real-world examples.
Rishabh Sonker –
I liked the premise, but the details were too much to follow.
Sabhyata Yadava –
Excellent book! A clear and concise guide to understanding probability and prediction.
Yuvraj Jaiswal –
Disappointed. I found it repetitive and not as insightful as other books on this topic.
Kapil Yadav –
Fantastic! I learned so much about forecasting. A must-read for anyone interested in data analysis.
Rajat Bharti –
A good overview, though I wish it delved deeper into specific forecasting techniques.
Akshat Jain –
Definitely worth the read, it had interesting points about probability.
Nikhil Yadav –
Brilliant! Changed the way I think about information and making decisions. Highly recommended.
Shubham Srivastava –
Superb! Andrew breaks down complex ideas in a way that’s easy to understand.
Mukul Singh Patel –
Not what I expected. It was okay, but didn’t quite live up to the hype. Some good insights here.
Vishakh Aditya Dhingra –
Challenging but rewarding. Definitely requires careful reading, but worth the effort.