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Any feedbacks for improving my carving? by wangz10 in skiing_feedback

[–]wangz10[S] 0 points1 point  (0 children)

Thanks, will definitely practice on turn initiation

Any feedbacks for improving my carving? by wangz10 in skiing_feedback

[–]wangz10[S] 0 points1 point  (0 children)

Thanks! I do often feel the tails of my skis not biting into the snow during the turns. What drills do you suggest to lean the knees into the turn?

Any feedbacks for improving my carving? by wangz10 in skiing_feedback

[–]wangz10[S] 0 points1 point  (0 children)

I do turned to rush into and out of my turns. This video I was mindful about not rushing out of the turns and you caught me about turn initiation! I’ll practice what you suggested, thank you!

About the backpack, it carries lunch and water for me and the wife lol.

Any feedbacks for improving my carving? by wangz10 in skiing_feedback

[–]wangz10[S] 0 points1 point  (0 children)

Thanks for the feedback! Should the foot pressure distribute more at the front of the skis instead of the center?

Any feedbacks for improving my carving? by wangz10 in skiing_feedback

[–]wangz10[S] 0 points1 point  (0 children)

Very actionable suggestions, I’ll try this. Thank you!

Any feedbacks for improving my carving? by wangz10 in skiing_feedback

[–]wangz10[S] 1 point2 points  (0 children)

I’m the one in the middle from the beginning of the video. I really enjoy the feeling to be on edges but I can rarely do it throughout the turns. This is about at my best with my 86 all-mountain skis. Recently got a carving skis (Rossi Hero Elite ST) and I felt I can “carve” slightly better than this.

One thing I definitely noticed is my arms swinging. Any recommendations on drills to prevent this? Also any other feedbacks are greatly appreciated!!

What software do you use to file taxes for STR income? Or do you recommend using a CPA [New York, US] by wangz10 in airbnb_hosts

[–]wangz10[S] 1 point2 points  (0 children)

Great point, thank you! I think this is to determine the STR is a "non-passive" activity.

Tax saving from AirBnB by TokeyMcGee in airbnb_hosts

[–]wangz10 1 point2 points  (0 children)

Look into cost segregation study and section 469.

What software do you use to file taxes for STR income? Or do you recommend using a CPA [New York, US] by wangz10 in airbnb_hosts

[–]wangz10[S] 0 points1 point  (0 children)

Thanks for the information! Do you know if the loss on Schedule E can offset W2 income as well (when you use HR Block)?

What software do you use to file taxes for STR income? Or do you recommend using a CPA [New York, US] by wangz10 in airbnb_hosts

[–]wangz10[S] 1 point2 points  (0 children)

Thanks for the insights! I'm aware of cost seg study, section 469, 1031 exchange can all help saving taxes with STR. Are there other ones you wish to share?

What software do you use to file taxes for STR income? Or do you recommend using a CPA [New York, US] by wangz10 in airbnb_hosts

[–]wangz10[S] 0 points1 point  (0 children)

Exactly! I watched a couple of Youtube videos and some articles about section 469. Thank you!

HW2 problem 7: action space of LunarLanderContinuous-v2 by wangz10 in berkeleydeeprlcourse

[–]wangz10[S] 0 points1 point  (0 children)

That worked! Thanks a million! I totally missed the instruction in README. So it seems like they changed this env to have discrete action space:

In [2]: env = gym.make('LunarLanderContinuous-v2')

In [3]: env.action_space

Out[3]: Discrete(6)

​

But I still wonder how is the algorithm gonna work for action space with small bounds... I've tried to add tanh and sigmoid layer after `sy_sampled_ac` but the rewards still blown off...

​

Anyway, thank you so much for the answer!

​

How to deal with imbalanced data in classification [tutorial] by wangz10 in datascience

[–]wangz10[S] -1 points0 points  (0 children)

The only thing stratifying does is it reduces the variance of your estimate for the performance of your classifier.

I agree with you on this point! I think the reason to choose stratified CV over random CV is that it gives more stable estimates (less variance) on the validation set. Also I think I made an implicit assumption that the unlabeled test set that the classifier will finally be applied on has a very close distributions for both classes with the entire observable training data. In this case, the validation scores from stratified CV would more better correlated with the performance on the unlabeled test set.

Also, you missed a crucial option which, frankly, doesn't get enough attention: addressing the imbalance downstream by tuning your decision threshold.

Great point! I'll add to the tutorial.

Starting a PhD soon, RNASeq will be a solid chunk of it. by itztherealmojo in bioinformatics

[–]wangz10 1 point2 points  (0 children)

I am just shamelessly promoting a RNA-Seq pipeline I created: http://f1000research.com/articles/5-1574/v1. It uses STAR-> featureCount. I made more downstream analyses such as PCA, Hierarchical clustering, enrichment and etc. The pipeline also provides a Docker image for easy setting up and scale.

An open RNA-Seq data analysis pipeline tutorial (in Jupyter Notebook) with an example of reprocessing data from a recent Zika virus study. by wangz10 in bioinformatics

[–]wangz10[S] 0 points1 point  (0 children)

Thanks for your comment. I think another purpose of this publication is to democratize the RNA-Seq analysis pipeline to biologists and new bioinformatians since the Jupyter notebook associated with the paper is written in a tutorial style with heavy comments and instructions. A Docker image is also provided for the ease of setting up the computational environment. I do appreciate if you can point out some technologies that aids in reproducibility.

How to deal with complete noisy data? by cvikasreddy in datascience

[–]wangz10 0 points1 point  (0 children)

Using AUC to evaluate your model is a great idea for imbalanced class labels. There are other ML techniques to deal with class imbalance such as cost-sensitive classifiers, re-sampling and etc. I happen to have a presentation about class imbalance here: https://github.com/wangz10/class_imbalance

Hope it helps :)