kirpekar

Define work?

My day is 10 hours, door to door.

I spend (realistically)

-- 3 hours commuting on the bus, doing emails, sheets, bugs, easy stuff

-- 2-3 hours in meetings

-- 2-3 hours of individual focussed work

-- 1-2 hours lunch, snacks, coffee, chatting, non work errands, personal email, shopping

I did a nanodegree, it was a complete waste of time for me.

It was impossible for me to get a job with those (basic) skills. A lot more is needed.

I have been on the other side also as a hiring manager. I would never screen (let alone hire) anyone just on the basis of the nanodegree

Over the last 12 years I have interviewed dozens of candidates for jobs. Not a single wore a suit.

The suit is really dead in the workplace (in Silicon Valley)

Wow - impressive!

Guy should have called Click and Clack

1. Where there is a will, there is a way.

2. To get something done, give it to someone who is busy.

This can be a nice calculation based on the contour lines. I'm sure there are several local optimal solutions (Bay Area, San Diego) but I'd be interested in working on an elegant "doable" solution (e.g. no more than 200 miles of travel a week)

Easy:

The Bogleheads' Guide to Investing

A Random Walk Down Wall Street

You will know 99.9% of what you need to know.

They must be talking to Japanese or German companies. I suspect German.

What has that got to do with the stock price?

In the active v/s passive debate it has now become widely clear that passive wins ALL the time when controlled for risk.

I wonder what the market for such a product is compared to main stream actively managed funds. Why should I choose some unknown "expert" off the Internet instead of say Bill Gross, Peter Lynch or John Neff?

Heavy list, I've read a few, but skimmed through most of these.

I'm certain only a handful of people have read all these books completely.

  Location: SF Bay Area
  Remote: Yes
  Willing to relocate: No
  Technologies: MATLAB, Mathematica, Python, R and other machine learning tools.
  Résumé/CV: Please send me email
  Email: kirpekar @ gmail.com

I have a PhD in engineering from Berkeley and I've been working at a large Bay Area hardware company for about 8 years. I recently refreshed my knowledge on machine learning (I took the online Stanford class on ML). Entry level positions are OK too. I'm interested in working on:

  Linear and Logistic Regression
  Neural Networks
  Support Vector Machines
  Clustering Algorithms
  Eigenvalue Analysis
  Anomaly Detection
  Recommender Systems