At 280 pages, the report is too long to cover in detail, but we’ve pulled out the most salient points for you below.

Main Points

• Banks will need to hire excellent data scientists who also understand how markets work
• Machines are best equipped to make trading decisions in the short and medium term
• An army of people will be needed to acquire, clean, and assess the data 
• There are different kinds of machine learning. And they are used for different purposes
• Supervised learning will be used to make trend-based predictions using sample data
• Unsupervised learning will be used to identify relationships between a large number of variables
• Deep learning systems will undertake tasks that are hard for people to define but easy to perform
• Reinforcement learning will be used to choose a successive course of actions to maximize the final reward
• You won’t need to be a machine learning expert, you will need to be an excellent quant and an excellent programmer
• These are the coding languages and data analysis packages you’ll need to know
• And these are some examples of popular machine learning codes using Python
• Support functions are going to need to understand big data too

Read more here. 

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