HN user

rahmaniacc

130 karma

Machine Learning leader who is passionate about using technology to improve learning tools and the education landscape. Reach me at rahmaniacc @ email service from google

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www.deadlanguagesociety.com 1y ago

Why ChatGPT writes like that

rahmaniacc
1pts0
www.youtube.com 2y ago

BeyondATC Traffic Injection [video]

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www.federalregister.gov 2y ago

Modernizing H-1B; Program Improvements Affecting Nonimmigrant Workers

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economictimes.indiatimes.com 3y ago

Seattle Startup CFO Takes $35M Without Permission, Loses It in Crypto Crash

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www.wired.com 3y ago

The Spaceport at the Edge of the World

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slate.com 3y ago

Why Are All Action Heroes Named Jack, James, or John?

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statmodeling.stat.columbia.edu 4y ago

Lee Wilkinson has passed away

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news.ycombinator.com 4y ago

Ask HN: Subscription service to hire full stack developers?

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www.wired.com 5y ago

The Buzzy, Chatty, Out-of-Control Rise of Clubhouse

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beta.regulations.gov 5y ago

U.S. DOT – Automated Vehicles Comprehensive Plan

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2pts0
medium.com 5y ago

What’s Your Hour in ‘Silicon Valley Time’? (2015)

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6pts0
news.ycombinator.com 5y ago

Ask HN: Should I hire a corporate lawyer before signing a term sheet?

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3pts2
www.a1k0n.net 6y ago

Donut math: how donut.c works [2011]

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1pts0
www.wired.com 6y ago

The Cubicle Is Back. Blame (Or Thank) the Coronavirus

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3pts0
www.buzzfeednews.com 6y ago

Instagram rushing to roll out memorial account feature due to Covid-19 deaths

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1pts0
news.ycombinator.com 6y ago

Ask HN: Tools/Editors to Create User Interface

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5pts2
thenextweb.com 6y ago

Raspberry Pi’s $5 model is powering ventilators to fight coronavirus

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www.eff.org 6y ago

California Legislator Introduces Fiber Broadband for All Bill

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www.pcmag.com 6y ago

Butthole recognition is now here

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19pts4
arstechnica.com 6y ago

Zoombombing is a crime, not a prank, prosecutors warn

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43pts68
arstechnica.com 6y ago

T-Mobile, Sprint took a risk by finishing merger without Calif. approval

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hexus.net 6y ago

Intel Core i9-10999K doubles current-gen performance

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www.independent.co.uk 6y ago

‘Dictatorships often start in the face of a threat’: UN privacy chief warns

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72pts11
cluster.covid19india.org 6y ago

Network map of Covid 19 cases in India

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jerz.setonhill.edu 9y ago

Writing Effective Dialogue (Punctuation and Actions in Creative Writing)

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uxdesign.cc 9y ago

Analysis of the iOS 10 lock screen experience

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www.pnas.org 10y ago

Computer-based personality judgments are more accurate than those made by humans

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github.com 10y ago

Caffe on Spark open sourced

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www.theatlantic.com 10y ago

Our Planet Is Among the First of Many, Many Earths

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hplusmagazine.com 10y ago

Selfies reveal smartphone pin

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3pts3

Key points taken from here - https://threadreaderapp.com/thread/1716587317257732472.html

1. Expanded H-1B cap exemptions would make it easier for research organizations to qualify for cap-exempt H-1Bs

2. Automatic cap-gap extensions will make it easier for international students to stay here after they graduate

3. The new rule would make it easier for immigrant founders to stay here on H-1Bs to grow their companies

4. Beneficiary-first selection would put immigrants in the driver's seat in picking between competing job offers. It would also help level the playing field by making it harder for IT outsourcing companies to game the system and boost their chances of securing visas

5. "Prior deference" will give certainty and predictability when it comes to visa renewals

Seems really promising!

This is great. I am have hired many many engineers over many years, and I have not seen a significant difference in the quality of engineers who had a formal CS degree vs. another quantitative degree (physics, math etc.). I have noticed some differences in engineers who have gone through bootcamps, but they are usually great at getting things done, so it has never mattered.

Also curious if there is a list somewhere out there for similar self-taught path for other subjects?

Hi peter,

I was on a H1b and quit my job in March (I still have a year and few months left on my H1b). I applied for a change of status to a h4 (this is still in progress with the USCIS) and had planned to relocate to India in June to start my company, but am still in the US waiting for the covid situation to resolve. Is there any option for me to start the company here?

The pandemic is really bringing out the personalities of civilians, scientists and world leaders alike, from people hoarding essential supplies to scientist making racist remarks like this to world leaders stopping the export of masks and other kinds of aid to the neighbors. "Hangover from the colonial mentality" is the best way to phrase this. Hope the scientists really meant it when the apologized and we all behave like the civilized people we claim to be!

CourseHero (https://coursehero.com) | Redwood City, CA | ONSITE | Full-time | NLP Engineer, Machine Learning Engineer

Course Hero is changing education by building a global community of students, the largest digital library of study materials, and innovative machine learning technology to support both learning and teaching.

Our engineering teams release code every day to millions of people, so we're looking for someone who can embrace challenges, build new features, and iterate quickly. Our projects are big ­­- many terabytes of data and millions of users around the world - ­­but our team is small, so you’ll see projects from start to finish and work closely with product managers and designers to ensure successful results.

We are looking for a Staff/Senior Machine learning engineer who can hit the ground running and work on a lot of fun (and challenging) projects that range from recommending relevant content to our users to extracting question/answer pair from documents. You’ll be a part of the engineering team at Course hero and will ship products that are used by millions of users. We are a data driven company and we are looking to disrupt the field of education and help millions of students learn more effectively by leveraging machine learning and AI. We are looking for people with experience in building machine learning pipelines and algorithms, expert coding skills in python, scala or an equivalent language. We deal with a lot of documents (text data), so relevant experience with Natural language processing is preferred.

Reach out to vaidy at coursehero if you are interested and mention HN in the subject!

CourseHero (https://coursehero.com) | Redwood City, CA | ONSITE | Full-time | NLP Engineer, Machine Learning Engineer

Course Hero is changing education by building a global community of students, the largest digital library of study materials, and innovative machine learning technology to support both learning and teaching.

Our engineering teams release code every day to millions of people, so we're looking for someone who can embrace challenges, build new features, and iterate quickly. Our projects are big ­­- many terabytes of data and millions of users around the world - ­­but our team is small, so you’ll see projects from start to finish and work closely with product managers and designers to ensure successful results.

We are looking for a Staff/Senior Machine learning engineer who can hit the ground running and work on a lot of fun (and challenging) projects that range from recommending relevant content to our users to extracting question/answer pairs from documents. You’ll be a part of the engineering team at Course hero and will ship products that are used by millions of users. We are a data driven company and we are looking to disrupt the field of education and help millions of students learn more effectively by leveraging machine learning and AI.

Reach out to vaidy at coursehero if you are interested and please mention HN in the subject!

I started my career in machine learning with absolutely no knowledge in it. It is definitely some thing that you can learn on the job. You do need a background in linear algebra/ statistics to understand the theory behind different algorithms that will help you decide what algorithm to choose (SVM vs Random Forest for ex.).

Like suggested in the other comment, the best place to start is probably by working on projects with open data sets. Try experimenting with different algorithms, feature engineering techniques. This is especially important because there are plenty of algorithms and identifying which algorithm works for which kind of data set is useful.

Do you think it is somehow going to be better when there are more autonomous cars on the road(all networked) and the behavior of the other cars on the road is easily predictable? And with that machines wouldn't have to adapt to the behavior of human beings but to other machines (which seems a lot easier). Seems more utopian to me though.

But you do require a license to drive around a car, while this "hobby" does not require anything of that sort. Which is why it is questioned a lot. I belong to camp 2 as well, but i can understand why it might be a cause of concern for many.