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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