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Introduction To Machine Learning Live Course Taught By Legendary Professor Raphael Douaddy

Introduction To Machine Learning Live Course Taught By Legendary Professor Raphael Douaddy

Primer on Artificial Intelligence and Machine Learning

Dates: Mar 1-2-3, 2023
Time: 9:00 am to 1:00 pm EST (New York)
Online by Zoom
Instructors: Raphael Douady, Patrice Kiener
Contact: primers@raphaeldouady.com
#machinelearning#artificialintelligence#ai#deeplearning#neuralnetworks

March 1 : Basic concepts

Type and Size of Problem:

  • Univariate or low dimensional problem (e.g. engineering)
  • High dimensional problem (e.g. imaging, sound)
  • Notion of the “5V’s”: Volume, Velocity, Variety, Veracity, Value
  • Introduction to the main concepts of Machine Learning and their usage (in the above lists):
  • Random Forest
  • Neural Networks
  • Convolutional networks
  • Support Vector Machines and kernel methods

March 2 : Optimization and Clustering algorithms

  • Optimization without constraints:
  • Simplex methods
  • Gradient descent
  • Stochastic Gradient
  • Pseudo Newton: BFGS, Levenberg-Marquardt
  • Simulated annealing
  • Optimization under constraints
  • Regularization: LASSO, Ridge, etc.
  • Clustering and Classification:
  • Supervised vs. unsupervised
  • Clustering algorithms: K-mean, density-based, hierarchical, community, etc.

March 3 : Advanced methods, Practical implementation

Advanced methods in Machine Learning:

  • Deep learning
  • Reinforcement learning
  • Linear and Quadratic Programming
  • Genetic algorithms
  • How to implement an AI project in a real industrial context

Registration: https://lnkd.in/esqDqTYY

Please note that only correctly and fully filled registration forms will be considered for participation.

Patrice Kiener is a French #datascientist, specialized in analyzing industrial and financial data in complex environments, using the most advanced techniques of artificial intelligence and machine learning. He is the founder of INMODELIA, a consulting firm dedicated to helping the industry in their “big data” challenges. He is a contributor to the R software, where he created several modules and maintains three packages in CRAN.

His expertise ranges from chemical analysis (tracking the origin of metals and mining products), optimization of chemical processes, environmental modeling (prediction of water supply), medical devices, extreme risk in financial markets, etc. Prior to that, he was a senior manager in NETRAL, the editor of NEURO ONE, still considered today one of the best neural network software for time series models and studies, and actively participated in several state and EU supported industry-university partnership projects. He holds an MS degree in food engineering, where he started his career in France and in Asia (Japan, China).

Introduction To Machine Learning Live Course Taught By Legendary Professor Raphael Douaddy

Artificial Intelligence & Machine Learning