Machine Learning applied to geosciences and mining | Training course
Learn the concepts and practices of Machine Learning applied to the mining industry to aid decision-making at every phase of mineral resource modeling.
Objectives
The course is designed to help you understand Machine Learning techniques, enabling you to develop routines for:
– Defining geological or geometallurgical domains
– Applying classification algorithms in mining applications
– Utilizing regression algorithms in mining applications
– Considering practical implementations
– Integrating Sklearn and Isatis.neo
Outlines
- Half of the course is devoted to methodological presentations, and the second half to practical exercises to deepen the understanding of concepts. The focus is on illustrations and the practical contribution of the covered concepts.
- Computer exercises with Isatis.neo Mining Edition.
- Course material and temporary software license provided.
Who should attend
This course targets professionals seeking to gain both theoretical and practical knowledge of Machine Learning and its applications in geosciences and the mining industry.
Course content
- Module I: General aspects of Machine Learning and introduction to the Python language.
- Module II: Unsupervised learning
Data transformations, clustering techniques – theory and practice, cluster quality evaluation. - Module III: Supervised learning
Predictive models – theory and practice, model validation, hyper-parameter tuning, model application.
** The course can be reduced to two days by removing Module II or Module III from the program.
Prerequisites
Basic knowledge of statistics, algebra, and geostatistics is recommended. Familiarity with Python is optional.
Training – Registration policy
Qualiopi label, a guarantee of the quality of our training
Our training courses are Qualiopi certified. That means that they comply with a unique French national quality reference system. This recognition guarantees the quality of the training courses we deliver and allows our trainees to be eligible for various French funding.
Registration Fee
Class fees include one set of course materials and one full Isatis license valid for one month.
Attendees are invited to use their own laptop for computer exercises. A temporary demo version of the software package(s) used for this purpose (i.e. Isatis, Isatis.neo or Kartotrak) will be freely supplied by Geovariances.
For courses to be held in Geovariances only, if you are unable to bring your own laptop during the training session, be sure to inform your sales contact and Geovariances will endeavour to provide you with a computer for the session duration.
Please note that admission will be only confirmed on receipt of your formal purchase order and after full payment.
Payment
Geovariances will invoice your company for the approved course cost amount in full unless cancellation notice has been given 10 working days before the course date.
Payment is required prior to the course to confirm the registration.
Payment options: credit card (American Express is not accepted – please provide with your card details) or wire transfer to BRED Fontainebleau HDV – IBAN number: FR76 1010 7003 2700 0302 7055 623.
Venue
Courses can be organized in or outside Geovariances premises (hotel, client premises). Please refer to the course description for more details.
Training hours are from 9:00 am to 5:00 p.m. unless otherwise specified.
Accomodation
Fee does not cover hotel accommodation. Attendees should make their own reservations directly.
Cancellation
No refund will be made for cancellation notified by a registered participant to Geovariances within 2 weeks (10 working days) prior to the course or for ’no shows’.
Attendee can be substituted.
Geovariances reserves the right to cancel a session if the minimum number of registrations is not reached and to schedule an additional session if the number of registrations is in excess of the maximum number of attendees.
Queries
Should you have any question or need further information, do not hesitate to contact us.