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#Robust Machine Learning and Artificial Intelligence
Technology have a main ingredient :
MATHematical Design
#We share
Logic⨁Knowledge
#Collaborative innovation in:
Healthcare
Drug Discovery
Diagnostic Tools
Omics Data Science
Signal Processing
Radio Satellite
Medical Data
Image Processing
Satellite Image Mapping
fRMI Denoising and Detection
Quantum Computing
Cryptography
Sensor Modelling
Semiconductors
Metrology Tools
Finance
Volatility Insights
Answer Artificial Intelligence Challenges with Robust Technology
Semiconductors
Improve productivity and reduce costs using an accurate prediction methodology
Cars and Aircraft's manufacturing:
Optimize the production chain to better control interactions
Real-time bid decisions help
Estimate market volatility
Customer behavior prediction
Organize assets
Reliable market reports
Discovery of past errors
channels
Clinical Trails Companion for Regulatory Organisms
Data analysis of post-market complaints
Driven parallel investigation on
phase 4
Clinical Trails Companion for Pharmaceutical Laboratories
Second opinion report to decide
trails continuation on phase 3
Mathematical systemic methods adapted to challenges from signal processing and computational biology to quantum computing.
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Against copy and paste methods, against fitting data without mathematical data topology comprehension, against patterning problems with ''miracle'' methods such as deep learning, we process the data with great accuracy, picking from a broad mathematical culture the appropriate tool to create the best machine learning algorithm, with the warranty of robustness and optimality, ahead of the data science state of the art. No worries, we use also well-tailored deep learning when needed.
We are able to find the needle in the haystack while discovering assets of your data that may be never sought.
Our clients experienced spectacular business increases using our technology.
The success of your project is our main focus. A professional fully available for you will ensure step by step each stage.
We keep deadlines and make all efforts to identify time-changing issues.
ROBUSTNESS FOR MACHINE LEARNING APPLICATIONS
Time format: 2 days; extension on demand
Public:
R&D /ML Devs/Data Science Teams, AI Departments
Special: Focus for industries where precision is an asset: Finance, Clinical Trials, Robotics, Data Management
Prerequisites:
** good knowledge of standard ML techniques
** logical skills
*** motivation
Topic: A robust AI aplication is not only a quality label, it is a responsability. This is much more than adding noise to the model and study outputs. The rigorousity and good fit of a ML algorithm with respect to the problem to solve are concepts mathematicaly defined
which have to follow rules making the Robust Data Scientist Chart.
This is a consistent difference with heavy impact on products.
So let's talk about robustness!
First Day: Robustness : how to check it?
AM: Concept comprehension, methodology and pitfalls
PM : Coding exercises to help the class objectifs on current work
Second Day: How to build a robust algorithm
AM: Overspread, Deepness, Localisation
PM: Real time implementations; ongoing or future AI projects of participants are welcome
AVANTIV CAMBRIDGE Attendence Certificate for all participants
Are you stacked in the middle of your project? We are happy to assist you. Apply for our monthly plan to get immediate debugging service. You may benefit from our preferential rates for perennial connexions.
You subscribed to the Ping Plan assistance and you wish to have your project quickly done. Take advantage of our experience and entrust us with implementation tasks also. You will be delighted not only by the quality of the output but the clarity style of the documentation.
We take care of your project from the beginning to the end. With quick and accurate responses to all your queries, you’ll be ahead of the time and the best in your business.
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Improve your skills by joining our webinar
When EASY becomes TOXIC :
How to overcome typical mistakes in MACHINE LEARNING made with ''COPY & PASTE" approach
2nd of August 16:00-17:00 (GMT + 1)
Steering parameters to fit data & model in ML is a common task for the Data Scientist. The webinar uplifts awareness about many cases when this habit is dangerous, contributing to the error propagation and making AI prone to wrong answers..
Thank you for your registration!
The webinar link will be send to you 24 hours before the event.
Be ready to meet with us on 2nd of August by 4pm London UK time (GMT+1).
Have a good time!
Avantiv Team