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@ -4,6 +4,7 @@
<p align="center">
<a href="#download">Download PDF</a>
<a href="#about">About</a>
<a href="#about">Errata</a>
</p>
<h1 align="center">
@ -11,6 +12,7 @@
</h1>
# A PERSONAL NOTE:
"Keep learning, or risk becoming irrelevant."
In this first volume, I purposely present a coherent, cumulative, and content-specific core curriculum of the data science field, including topics
such as information theory, Bayesian statistics, algorithmic differentiation, logistic regression, perceptrons, and convolutional neural networks.
@ -19,19 +21,27 @@ I hope you will find this book stimulating.
It is my belief that you the postgraduate students and job-seekers for whom the book is primarily meant will benefit from
reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
**Follow up for more updates on our work:**
## **I would like to solicit corrections, criticisms, and suggestions from students and other readers. Although I have tried to eliminate errors over the multi year process of writing and revising this text, a few undoubtedly remain. In particular, some typographical infelicities will no doubt find their way into the final version.** **I hope you will forgive them.**
**Contact Amir:**
* https://www.linkedin.com/in/amirivry/
* https://scholar.google.com.mx/citations?user=rQCVwksAAAAJ&hl=iw
**Contact Shlomo:**
* https://www.linkedin.com/in/quantscientist/
* https://scholar.google.com.mx/citations?user=bM0LGgcAAAAJ&hl
This book is available for purchase through Amazon and other standard distribution channels. Please see the publisher's web page to order the book or to obtain further details on its publication. A manuscript of the book can be found below—it has been made available for personal use only and must not be sold.
* https://amazon.com/author/quantscientist
* https://www.linkedin.com/in/amirivry/
* https://scholar.google.com.mx/citations?user=rQCVwksAAAAJ&hl=iw
---
# Download
@ -107,5 +117,65 @@ These chapters appear alongside numerous in-depth treatments of topics in Deep L
Shlomo Kashani, Author of the book _Deep Learning Interviews_ www.interviews.ai: entropy@interviews.ai
<h1 align="center">
<img src="https://github.com/BoltzmannEntropy/interviews.ai/blob/main/assets/droput2-ans.png" width="100%"></a>
<img src="https://github.com/BoltzmannEntropy/interviews.ai/blob/main/assets/droput2-ans.png" width="50%"></a>
</h1>
# Errata (May not be up to date)
## ***Minor corrections are not included.***
Thank you to all the readers who pointed out these issues.
**Errata for the version** **03/12/2020** **printing and reflected in the online version:**
1. Question number **PRB-267 -CH.PRB- 8.91** was removed due to lack of clarity
2. Question number **PRB-115 - CH.PRB- 5.16** was removed due to lack of clarity
**Errata for the version** **05/12/2020** **printing and reflected in the online version:**
1. Page 230, Question number **PRB-178** amend “startified scross validation“ TO “stratified cross validation.“
2. Page 231, Question number **PRB-181** added a ” .“ after data-folds
3. Page 231, Question number **PRB-191** amend “an” to “a”
4. Page 234, Question number **PRB-192** “in” repeated twice
5. Page 236, Question number **PRB-194 amend** “approached” to “approaches“, “arr” to “arr001”
6. Page 247, Question number **PRB-210 amend** “an” to “a”
7. Page 258, Question number **PRB-227 amend** “A confusion metrics” to “A confusion matrix”
8. Page 271, Question number **PRB-240 amend** “MaxPool2D(4,4,)” to “MaxPool2D(4,4)”
9. Page 273, Question number **PRB-243 amend** “identity” to “identify”
10. Page 281, Question number **PRB-254 amend** “suggest” to “suggests”
11. Page 283, Question number **PRB-256** “happening” misspelled
12. Page 286, “L1, L2” amended to “Norms”
13. Page 288, Question number **SOL-184** **amend** “the full” to “is the full”
14. Page 298, Question number **SOL-208** **amend** “ou1” to “out”
15. Page 319, Question number **SOL-240** **amend** “torch.Size([1, 32, 222, 222]).” to “torch.size([1, 32, 222, 222]).“
16. Page 283, Question number **PRB-256** “happening” was misspelled
**Errata for the version** **07/12/2020** **printing and reflected in the online version:**
1. Page 187, Question number **PRB-140** two missing plots (6.3, 6.4) which did not render correctly on the print version
![ball001.png](https://images.squarespace-cdn.com/content/v1/5c33c435f93fd4233f157b43/1607530038262-PGU5F0YDMFA9NON3NKZA/ball001.png?format=500w)
6.3
![ball002.png](https://images.squarespace-cdn.com/content/v1/5c33c435f93fd4233f157b43/1607530124438-1U0OIE7QPO0DSMP8LKBS/ball002.png?format=500w)
6.4
**Errata for the version** **09/21/2020** **printing and reflected in the online version:**
1. Page 34, Solution number **SOL-19** , 0.21886 should be 0.21305 and 0.21886 ± 1.95 × 0.21886 should be **0.21305** ± 1.95 × 0.21886
2. Page 36-7, Solution number **SOL-21** ,4.8792/0.0258 = **189.116** and not 57.3 and pi(33) = 0.01748 and not pi(33) = **0.211868**.
3. Page 49, **PRB-47** “What is the probability that the expert is a **monkey**“ should be “What is the probability that the expert is a **human**
**Errata for the version** **09/22/2020** **printing and reflected in the online version:**
1. Page 73, Solution number **SOL-56** should read ”The Hessian is generated by **differentiating**
2. Page 57, Problem number **PRB-65** should read ”**two** neurons”
**Errata for the version** **09/24/2020** **printing and reflected in the online version:**
1. Page 78, Solution number **SOL-64** , the OnOffLayer is off only if at least 150 out of 200 neurons are off. Therefore, this may be represented as a Binomial distribution and the probability for the layer to be off is :
![2020-12-24 21_08_52-E__Sync_branded_interviews.ai_amazon_21-12-2020_chap_bayes.tex - TeXstudio.png](https://images.squarespace-cdn.com/content/v1/5c33c435f93fd4233f157b43/1608836963860-U8ZD3L5L4IL5QKOAUZD8/2020-12-24+21_08_52-E__Sync_branded_interviews.ai_amazon_21-12-2020_chap_bayes.tex+-+TeXstudio.png?format=750w)