Thanks for your inquiry.

Slides may be requested at any time by contacting the instructor using the "contact" form at lazyprogrammer.me.

Best regards

## Search found 81 matches

- Fri Aug 12, 2022 6:51 pm
- Forum: Bayesian Machine Learning (All)
- Topic: May I know where can I download all the slides?
- Replies:
**1** - Views:
**35**

- Fri Aug 12, 2022 6:49 pm
- Forum: Bayesian Machine Learning (All)
- Topic: Bayesian Linear Regression With One Input - Given Variance
- Replies:
**1** - Views:
**16**

### Re: Bayesian Linear Regression With One Input - Given Variance

Thanks for your inquiry. This is mostly a theoretical course in preparation for future courses, so one has to keep that in mind. Look at the final code lecture to see how we deal with it (empirical estimation). Or you can use the full Bayesian method in which the variance is assumed unknown and the ...

- Wed Aug 10, 2022 2:07 am
- Forum: Bayesian Machine Learning (All)
- Topic: MAP Estimation - Expectation of w
- Replies:
**1** - Views:
**15**

### Re: MAP Estimation - Expectation of w

Good question. We left some symbols out there for brevity (this is normal). Recall that expected values are always with respect to a specific distribution. e.g. E_p [X] is different from E_q [X] In the Bayesian formulation we are interested in E[w | X, y] (w wrt the distribution p(w | X, y)), not wr...

- Tue Aug 02, 2022 6:32 am
- Forum: Time Series Analysis, Forecasting, and Machine Learning
- Topic: Ask for solving an error
- Replies:
**1** - Views:
**47**

### Re: Ask for solving an error

Thanks for your inquiry.

Please note that the #1 source of student error is copying code incorrectly. Therefore, the first thing one should always do is cross-reference with the working code.

Let us know if that doesn't work, or if you found that the official code is not working.

Cheers!

Please note that the #1 source of student error is copying code incorrectly. Therefore, the first thing one should always do is cross-reference with the working code.

Let us know if that doesn't work, or if you found that the official code is not working.

Cheers!

- Thu Jun 09, 2022 4:13 am
- Forum: General Discussion
- Topic: PCA no stretching?
- Replies:
**2** - Views:
**3062**

### Re: PCA no stretching?

Thanks for your inquiry. The reason is purely mathematical. If you want to learn the actual details of PCA, I'd recommend looking at the course "Unsupervised Deep Learning in Python" where this is discussed in detail. In the Finance course the section on PCA is only meant to look at the ma...

- Sat May 28, 2022 6:58 pm
- Forum: Data Science: Natural Language Processing (NLP) in Python / Machine Learning: Natural Language Processing in Python (V2)
- Topic: Add "The Central Message" lecture to preview before purchase
- Replies:
**1** - Views:
**2768**

### Re: Add "The Central Message" lecture to preview before purchase

Thanks for your suggestion.

I consider pretty much everything in this lecture to be obvious (so much so, that it wasn't even added until years after the course already existed).

Which parts of it weren't obvious to you?

I consider pretty much everything in this lecture to be obvious (so much so, that it wasn't even added until years after the course already existed).

Which parts of it weren't obvious to you?

- Mon May 16, 2022 8:25 pm
- Forum: Data Science: Supervised Machine Learning in Python
- Topic: smoothing in variance
- Replies:
**1** - Views:
**1943**

### Re: smoothing in variance

Thanks for your inquiry.

As you recall, MNIST is an image dataset. Some pixels have a constant value of 0.

In that case, the variance is 0. If the variance is 0 the PDF goes to infinity, which cannot be used for computations.

As you recall, MNIST is an image dataset. Some pixels have a constant value of 0.

In that case, the variance is 0. If the variance is 0 the PDF goes to infinity, which cannot be used for computations.

- Thu May 05, 2022 2:01 am
- Forum: General Discussion
- Topic: TF - IDF to a Pair
- Replies:
**1** - Views:
**1517**

### Re: TF - IDF to a Pair

Thanks for your inquiry.

TF-IDF can be used on any non-standard symbols you like. In fact, in the course "Machine Learning: Natural Language Processing in Python (V2)" that is what we did.

TF-IDF can be used on any non-standard symbols you like. In fact, in the course "Machine Learning: Natural Language Processing in Python (V2)" that is what we did.

- Sun May 01, 2022 2:09 am
- Forum: Deep Learning: Advanced NLP and RNNs (Advanced NLP and Sequence Models with Deep Learning)
- Topic: Attention 7, Visualizing attention
- Replies:
**1** - Views:
**2004**

### Re: Attention 7, Visualizing attention

Thanks for your inquiry.

It looks like you might be mixing up the "graph building phase" (symbolic variables) and the "inference phase" (numerical values).

It looks like you might be mixing up the "graph building phase" (symbolic variables) and the "inference phase" (numerical values).

- Mon Apr 25, 2022 7:50 pm
- Forum: General Discussion
- Topic: SIMPLERNN
- Replies:
**9** - Views:
**2821**

### Re: SIMPLERNN

The data links are given in the course (see the "where to get the code" lecture)