INTRODUCING: A FREE Meeting with a Proven Machine Learning Expert
Now you can Meet A
Machine Learning Expert
So that your Innovative Business project be a success
Meet Guillaume Chevalier, founder at Neuraxio Inc.:

==> 150+ citations on his publicated Machine Learning research papers
==> 100+ numerical projects for 15+ companies in 3 countries
==> 57+ Artificial Intelligence (AI) projects
==> 25+ talks, conferences and pitches
==> 9+ years of programming experience
==> 7+ years of programming experience in machine learning
==> 7+ certificates on AI/ML/DL from various authorities
==> 4+ years providing services as an AI consultant
enter Your Info below to Book a Meeting
(and get A first Free coaching video for executives by email)
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This is an offer limited in time, and available only until fully booked.
Check out
Our business process.
- That's how How We Work.
How should you progress through your machine learning project, from scratch to beginning? Take a look: 
Machine Learning Business Process Neuraxio
It's simple: first, define the problem. Unbelievably, that's often the hardest step. Then an evaluation metric depending on your business goals and data imbalance. In the figure above at the left, you prepare your data (ideally, or we help you with it as well). At the right, we identify and provide the algorithms we believe is the best to solve your problem. Then the data meets the algorithm and that makes for a hot mix. 

But how we choose our models? There are hudrends and thounsands of different possible algorithms to use out there. It's the same for ways to preprocess your data into the algorithm. That requires expertise, creativity and investigation. It also entirely depends on the identified problem to solve, and your quantities of data as follow: 
How to choose a machine learning or deep learning model
To sum up:
Request a meeting with our one-man-army consultant & expert, Guillaume Chevalier, to kickstart your project on the right path and provide you with a plan. Get a first analysis and coaching contract with us before we start your project with a new contract (or before you delegate this to your next intern or employee):
Disclaimer: By doing business with us, you may overgo several stages of frustration, disappointment, and irritability. However, by doing business with us, you will be less dissatisfied than you were before and your project should be well set to be realizable. Machine Learning projects are hard. 
Check out Guillaume Chevalier's
Portfolio of Public projects
On GitHub - This isn't even considering all the 
business & Private projects that he contributed to:
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