Crypto is big, Tensorflow, AI, and Machine Learning is bigger. But has anyone put them together; yes!
Now, does the membership want to learn how the guys at FNF and JPM make bank with bots?
Challenge Rating
Class Description
By the end of the 40 credit hour class students would be expected to have experience with devops, data science, and automation tools. Along with made at least one automated trade on the test network (ie no real and/or fiat money involved) and progressed towards completing either the Backend Development or Data Visualization Certifications.
Class Topics
- Setting up
Tensorflowand developingMachine Learningmodels - Building
scipyandtfbase bots for automated trading viaPoloniexandQuandlAPIs against the bitcoin Testnet3 network. - Using
Grafana,Telegraf, Redis, and MongoDB as datastore and graphing tools - Deploying clustered applications to
Docker SwarmviaTravisCIandGit
Requirements
- Passed the Python class or
- Sign up for VCC Community Grid access
- Working laptop with docker installed.
- Modern IDE vim, atom, sublime, or c9 (caveat c9 is now a aws product and requires registration with amazon).
Certification Offered
Class time will cover overlapping topics in both Data Visualization Certificates and Backend Development Certificates
Best time for the class that you would attend?
- 11am-1pm
- 3pm-5pm
- 7pm-9pm
- 9pm-11pm
0 voters
Does the space want this class?
- Yes
- No, never
- Take it off site
- We only do maker stuff here
0 voters