I got started being into algorithms and then making games with ai opponents like http://bitmultiplayerchess.com, http://wordsmashing.com
I took andrew ng’s coursera machine learning course which i would highly recommend, also his deep learning course is worth it too :)
His course inspired me to create a cryptocurrency trading bot which i spun into a business offering forecasting for altcoin markets: http://BitBank.nz - Crypto Market Predictions with Machine Learning
I managed to make much more successful forecasts by understanding the fundamentals taught in that course like under-fitting and over-fitting and how to visualize whats happening by plotting a learning curve ect.
The forecasting algorithm really just applies the fundamentals thoroughly in perhaps a novel way, e.g. some features we compute at the current time include the linear regression of trades over time weighted by their amount
So its definitely worth the investment i think :) try and apply the teaching to solve a real world problem which i think is the interesting part, although you’ll end up doing a lot of data engineering you’ll savor the AI/ML part even more and start to appreciate strategies for how you can improve your performance in your case and test them out.
Having a play around with the create your own deep neural net at playground.tensorflow.org is pretty helpful, try and conceptualize what youve been taught in the courses by playing around with that, e.g. add more layers/breadth to your network to watch it get more and more powerful and begin to overfit when you add noise to your data ect.
His course inspired me to create a cryptocurrency trading bot which i spun into a business offering forecasting for altcoin markets: http://BitBank.nz - Crypto Market Predictions with Machine Learning
I managed to make much more successful forecasts by understanding the fundamentals taught in that course like under-fitting and over-fitting and how to visualize whats happening by plotting a learning curve ect.
The forecasting algorithm really just applies the fundamentals thoroughly in perhaps a novel way, e.g. some features we compute at the current time include the linear regression of trades over time weighted by their amount
So its definitely worth the investment i think :) try and apply the teaching to solve a real world problem which i think is the interesting part, although you’ll end up doing a lot of data engineering you’ll savor the AI/ML part even more and start to appreciate strategies for how you can improve your performance in your case and test them out.
Having a play around with the create your own deep neural net at playground.tensorflow.org is pretty helpful, try and conceptualize what youve been taught in the courses by playing around with that, e.g. add more layers/breadth to your network to watch it get more and more powerful and begin to overfit when you add noise to your data ect.