What books are you currently reading?

[alain]

Is Machine Learning for Hackers worth reading?

depends. It's like an introduction and it gets you familiar with tricks and applications of R in Machine Learning, data manipulation and graphing with ggplot2.

 

[Sanket Patel]

depends. It's like an introduction and it get's you familiar with tricks and applications of R in Machine Learning, data manipulation and graphing with ggplot2.

I think I'll give it a try, though I'll probably to see if I can replace R with Python.

Actually, I just took a look at the other book, Machine Learning in Action, and that looks like a better choice for now, given that I want a Python approach to ML.

Thanks!

 

[Jonathan B]

Currently reading Options Volatility and Pricing, so far the amount of knowledge given in the earlier chapters make the book worth while. Still have yet to finish the Intelligent Investor, I finished about half way.

 

[IlyaKEightSix]

Finished Jaekle and Tomasini's trading systems book, now will start on Machine Learning for Hackers thanks to alain.

 

[riemanndirac]

George Martin : A Clash of Kings

Needham : Visual Complex Analysis

 

[Analytic Bastard]

Is Machine Learning for Hackers worth reading?

That's the first thing I thought. Looks like pretty standard stuff.

I must say, however, that the applications are excellently picked.

 

[Analytic Bastard]

Finished Jaekle and Tomasini's trading systems book, now will start on Machine Learning for Hackers thanks to alain.

How do you rate the information in Trading Systems?

 

[IlyaKEightSix]

How do you rate the information in Trading Systems?

It's not the goose that lays the golden eggs, that's for sure. Necessary, but far from sufficient.

 

[TheMaster]

Just picked up "Paul Wilmott on Quantitative Finance" and on page 80, good read so far.

 

[bigbadwolf]

Reading this has persuaded me to read Dan Brown's Da Vinci Code.

 

[mhy]

I'm going through Schaum's outline of calculus, lol. Seriously! I haven't touched calculus since 2008.

 

[Ian Kaplan]

Financial Modeling Under Non-Gaussian Distributions by Jondeau et al for my risk analysis course. It's a pretty good book and I can recommend it for your bookshelf. The writing is clear, as is the math. The exposition is descriptive, without lots of proofs (for those who like proofs, be warned). Obviously non-Gaussian distributions are the heart of the matter when it comes to dealing with financial data, so this is a good reference.

 

[Jonathan B]

I'm going through Schaum's outline of calculus, lol. Seriously! I haven't touched calculus since 2008.

Schaum's outline is a really great book for calculus, I ended up picking it up this past semester for roughly $2.00 on amazon, can't beat it!

Currently reading Principles of Financial Engineering, great entry level book into the field.

 

[alex.h.perkins]

Fixed Income Securities by Pietro Veronesi
Analysis of Financial Time Series by Ruey Tsay
Infinite Jest by David Foster Wallace

 

[ThaiMathDude]

Real analysis: Modern techniques and their applications (Folland)
Why nations fail (Acemoglu)

 

[DailyStockSelect]

antii fragility - nassim taleb
try to include his concepts in my programming
not an easy task tho!

 

[C S]

I've generally found you have to make time for it. I read on average about 3 books a week in the 300 page, paperback range. Obviously larger books (like the Norman Davies one mentioned above) take a little longer.
I generally read a night and on the weekends.

A lot of people waste their time during the commute. They flip through their newspaper or stare at their phone when they've clearly lost interest. I read The Economist in the morning commute and a sci-if novel in the evening commute.

 

[C S]

Recent reading:

Schiller, irrational exuberance (finally!)
Zelazny, Lord of Light
M. Jackson, Whiskey: the definitive world guide

 

[bigbadwolf]

Zelazny, Lord of Light

Excellent stuff, using Indian mythology (Yama, Mara, Agni, Vishnu).

 

[Daniel Duffy]

I am reading (and coding) "Differential Evolution" by Price et al.

DE is for global optimisation and is based on mutation, crossover and selection of the Darwin theory.

It's very interesting and robust stuff.