I am 44, have two finance degrees and have been in the investment/hedge fund industry for 25 years
Ive decided after all these years that i want to build my own trading system which helps me select stocks, warn me away from danger and give me the information i need in a very visual way. At the same time i would like to use machine learning/AI inorder to possibly find better analysis that what i currently do.
I think the way forward is through Python/R?. I would need to learn Maths again before i can attempt the machine learning/AI modules.
Id be incredibly appreciative if someone could give me detailed suggestions of what MATHS i might need, and what Python/R course i should take and any more information that might be helpful.
At the moment i am going through a maths course at the KHAN academy to learn from simple concepts from even high school such as Trigonometry, matrices, vectors, and even basic algebra. I want to review it again and then my plan was to move on to Python…but in truth i have no clue what i am taking on.
I am taking a machine learning course now, python is probably your way to go since their open source libraries are expanding quite fast I believe.
You don’t really need loads of math for these modules since they are made in a way that skips the math.
What you need is to understand the results, here statistics and probability is more important.
Also machine learning techniques to check how well the machine is performing, look into a basic machine learning course which teach you these algorithms.
The math would come in if you are trying to understand the algorithm behind the machine learning method and implement it yourself.
I cannot give you a good advice on a python course, if you have experience from any programming at all, you could start solving projecteuler.net problems and using google to search for what you would need.
Otherwise there might be some threads in the python part of this forum which recommend good courses
hi glafs thanks for the very useful info and encouragement. Ok i will do some probability and inferential and descriptive statistics and take python directly first before moving to machine learning.
I have ZERO NO NONE NADA knowledge of programming. Absolutely nothing.
Andrew Ng’s machine learning course on Coursera has been one of my favorite online courses I’ve ever taken. Its very interactive and well paced, loaded with programming exercises that help you understand and apply concepts. I’d say it’s a must take if you’re a beginner interested in machine learning. Linear Algebra is something you definitely need to know if you’re getting into statistical learning, and the course does a good job introducing you to it as well.
Hey there! I’m 40, quit my job in september and am picking up front end development which wasn’t a real thing back when I was 18.
I finished my first interview and hope to be hired next week. so it’s never too late for a career change or shift!
Since you’re mathematically driven I suggest app development where you can deep dive in the theory.
However if you’re more visually inclined like myself, reactjs, css are worth learning for frontend. Jquery if your job needs it like mine (yes I needed to pick it up in a day which I did).
Python is an excellent start for newbie programmers. Go on hackerrank finish the 30 days of code challenge (reminds me I have to as well) and you’ll find some nifty one line solutions to problems that take coders in C half a page or more!
My ex boyfriend said the “lazier” you are the better a coder you’ll become! I tend to agree.