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Where do you find these ML wizard conusltants? I've been looking to hire someone part time for a project to help build a model but most good people have no tim
by andr3w321 11y ago
Where do you find these ML wizard conusltants? I've been looking to hire someone part time for a project to help build a model but most good people have no time and I don't trust that anyone on elance or similar is any good.
- nalourie 11y agoDepending on the project / time line I'd be interested to help. Is there a way to get in touch?
- andr3w321 11y agoWhoops on phone and replied to wrong comment. If anyone is interested contact me andr3w321@gmail.com
- davmre 11y agoEmail older PhD students at your local university, assuming you have a strong local university. Describe your problem in a few sentences to get them interested, and offer competitive compensation ($100-$200/hr depending on location) in exchange for a few hours per week of their time.
- JasonCEC 11y agoThe short answer is: _you don't_. That's not how machine learning works at scale. To quote from a great recent article: (I can't find the link, sorry) It's one thing to create an excellent fraud detection model in R, and quite another to build: - Fault-tolerant ingest of live data at scale that could represent fraudulent actions - Real-time computation of features based on the data stream - Serialization, versioning and management of a fraud detection model - Real-time prediction of fraud based on computed features at scale - Learning over all historical data - Incremental update of the production model in near-real-time - Monitoring, testing, productionization of all of the above You don't build a data team out of a single person and tack on an easy model to build a company - it takes a team to build a real data project, and those teams are hard to find, hard to recruit, and hard to make successful.
- evandev 11y agoWe're based near a large University and hire Masters/PhD students about to graduate first as a part time/intern then full-time. It has worked out pretty well for us.