Neural networks approach the _____ in a different way
problem
A large number of _____ digits
handwritten
Develop a _____ which can learn from those training examples
system
4By increasing the number of training examples, the network can learn more about _____
handwriting
AI in finance - Two Sigma are NOT looking for the stock trader archetype of yore, the alpha male who makes big bets based on _______ with market patterns
personal experience
More and more, hedge funds are being infused with ____
AI
Many of their _____ are actually mathematicians, computer scientists and business analyst in disguise.
traders
Three main areas of AI in finance
1. Fraud detection and compliance
2. Banking chatbots and robo-advisory services
3. Algorithmic trading
________ can label events as “fraud” versus “non fraud” and fraudulent transactions can then be stopped in real time
classification algorithms
Benefits of AT
HFT (High-Frequency Trading ) is the most recognizable form of AT and uses high-speed
communications and algorithms in financial market transactions
There are four common AT strategies that are now briefly described
slides
credit card detection is
the most successful applications of AI - supervised
4a chatbot that can be accessed through Facebook Messenger and helps a customer save
money in small increments
**
The ____ layers within the architecture mean that each neuron is connected to the outputs of all the neurons in the layer below
dense
Algorithmic trading is about ______ trading rules into a program
implementing
Algorithmic systems often make_______ or millions of trades per day.
thousands
HFT (High-Frequency Trading ) is the most ______ form of AT and uses high-speed
communications and algorithms in financial market transactions
recognizable