ksachdeva Profile
ksachdeva

@ksachdeva

Followers
160
Following
227
Statuses
134

Joined March 2008
Don't wanna be here? Send us removal request.
@ksachdeva
ksachdeva
1 year
@docmilanfar For me first understanding SSM (the model) and then Bayesian view on filtering and seeing Kalman filter an “algo” for LGSSM (model) was useful. I explain it here -
0
4
13
@ksachdeva
ksachdeva
3 years
@EikoFried @rlmcelreath Indeed, initially this single term created lot of challenges for me
0
0
1
@ksachdeva
ksachdeva
3 years
An in-depth explanation of challenges and one potential remedy for gradient estimation in stochastic computational graphs
1
0
3
@ksachdeva
ksachdeva
3 years
Variational Autoencoder, Latent Variable Model & Amortized Inference...
0
0
4
@ksachdeva
ksachdeva
3 years
What is Probabilistic Programming? + A quick & opinionated review of @mcmc_stan @pymc_devs @PyroAi @TuringLang @TensorFlow Probability (TFP) using an example from @rlmcelreath's Statistical Rethinking book
0
3
27
@ksachdeva
ksachdeva
3 years
The Metropolis Algorithm. Watch the full tutorial (The Metropolis-Hastings Algorithm) on youtube (
0
1
7
@ksachdeva
ksachdeva
4 years
@BecomingDataSci A series of YouTube tutorials on Bayesian regression & inference. So far 9 videos and many more to come. . An attempt to cover both the intuition and underlying mathematics. 🙏
0
0
2
@ksachdeva
ksachdeva
4 years
0
0
1
@ksachdeva
ksachdeva
4 years
@rlmcelreath .. students admire & love you back for all the wisdom you grant.
0
0
0
@ksachdeva
ksachdeva
4 years
Published a tutorial on Importance Sampling
0
0
1
@ksachdeva
ksachdeva
4 years
A visual introduction to Rejection Sampling! Full tutorial on YouTube
1
0
2
@ksachdeva
ksachdeva
4 years
Published a video explaining "MADE: Masked Autoencoder for Distribution Estimation" MADE is an essential component in many modern Normalizing Flows algorithms
2
0
3
@ksachdeva
ksachdeva
4 years
Published a comprehensive tutorial on Normalizing Flows - Motivations, The Big Idea, & Essential Foundations
1
0
2
@ksachdeva
ksachdeva
4 years
@jeremyphoward The complexity/Simplicity of a language is a function of how it is taught and the domain for which it is designed! E.g. Your fastai effort makes the complex subject of ML relatively simpler. So what is the problem - language or the teachers :)
0
0
0
@ksachdeva
ksachdeva
4 years
@willkurt IMHO reason great libraries got written in python are because of domain expertise & not because language is superior. Refactoring/updates/performance/lack of tests are real issues in any industrial code & python makes my heart stop because of lack of strong typing and tools.
0
0
0
@ksachdeva
ksachdeva
4 years
@smdiehl @willkurt If you take inspiration from JavaScript community then it can be done. Many JavaScript libraries did manage to have type definitions. It is about the community effort... seems most of the python developers still do not appreciate the importance of type annotations.
0
0
0
@ksachdeva
ksachdeva
5 years
RT @TDataScience: But what is Entropy? by @ksachdeva
0
5
0
@ksachdeva
ksachdeva
5 years
RT @PeterKolchinsky: If you are hearing about #covid19 “reinfections” in Asia, I can offer you my take as a virologist. The best explanatio…
0
12K
0
@ksachdeva
ksachdeva
5 years
@ozataman @rlmcelreath @fehiepsi @junpenglao Yes there is one for pyro (1st Ed) and numpyro (2nd Ed) by @fehiepsi ..see the links to all the ports here -
1
0
2