Machine Learning Training Bootcamp

Machine learning & artificial intelligence. Machine learning is playing an increasingly important role in computing and artificial intelligence. Suits any article on AI, algorithms, machine learning, quantum computing, artificial intelligence. 

Machine learning training bootcamp is a 3-day technical training course that covers the fundamentals of machine learning, a form and application of artificial intelligence (AI).

Attendees will learn, comprehend and master ideas on machine learning concepts, key principles, techniques including: supervised and unsupervised learning, mathematical and heuristic aspects, modeling to develop algorithms, prediction, linear regression, clustering, classification, and prediction.

Learning Objectives:
  • Learn about Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) 
  • List similarities and differences between AI, Machine Learning and Data Mining 
  • Learn how Artificial Intelligence uses data to offer solutions to existing problems 
  • Explore how Machine Learning goes beyond AI to offer data necessary for a machine to learn. 
  • Clarify how Data Mining can serve as foundation for AI and machine learning. 
  • List the various applications of machine learning and related algorithms 
  • Learn how to classify the types of learning such as supervised and unsupervised learning 
  • Implement supervised learning techniques such as linear and logistic regression 
  • Use unsupervised learning algorithms including deep learning, clustering , etc. 
  • Learn about classification data and Machine Learning models 
  • Select the best algorithms applied to Machine Learning 
  • Learn the concepts and operation of support neural networks, vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means and clustering 
  • more... 

Course Agenda and Topics:
  • The Basics of Machine Learning 
  • Machine Learning Techniques, Tools and Algorithms 
  • Data and Data Science 
  • Review of Terminology and Principles 
  • Applied Artificial Intelligence (AI) and Machine Learning 
  • Popular Machine Learning Methods 
  • Learning Applied to Machine Learning 
  • Principal Component Analysis 
  • Principles of Supervised Machine Learning Algorithms 
  • Principles of Unsupervised Machine Learning 
  • Regression Applied to Machines Learning 
  • Principles of Neural Networks 
  • Large Scale Machine Learning 
  • Introduction to Deep Learning 
  • Applying Machine Learning 
  • Overview of Algorithms 
  • Overview of Tools and Processes 

Call us today at +1-972-665-9786. 

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