Skip to main content

Machine Learning Training Bootcamp : Tonex Experts


Machine Learning training bootcamp is a 3-day specialized training course that covers the essentials of machine learning, a shape and utilization of man-made reasoning (AI).
Machine learning computerizes the information investigation process by empowering PCs, machines and IoT to learn and adjust through experience connected to particular undertakings without unequivocal programming. 



Learning Objectives:

  • Learn about Artificial Intelligence and Machine Learning 
  • 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, adapt and optimize / Clarify how Data Mining can serve as foundation for AI and machine learning to use existing information to highlight patterns 
  • 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 and recommender systems (RS) used to help users find new items or services, such as books, music, transportation, people and jobs based on information about the user or the recommended item 
  • Learn about classification data and Machine Learning models 
  • Select the best algorithms applied to Machine Learning 
  • Make accurate predictions and analysis to effectively solve potential problems 
  • List Machine Learning concepts, principles, algorithms, tools and applications 
  • 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 
  • Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning / Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering and recommendation systems 

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 


Request More Information . Call +1-972-665-9786.

Visit Tonex website below
Machine Learning Training Bootcamp 

Comments

Popular posts from this blog

LTE M and NB IoT Crash Course

LTE  M and NB IOT crash course. Tonex offers LTE  M and NB IOT crash course to all the Engineers, Technical and product marketing professional working for wireless operators. Price: $2,999.00 Length: 2 Days Continuing Education Credits: 13 PHD LTE M and NB IOT Crash Course is a 2 day customized LTE training focuses on fundamentals of LTE access technology focusing on LTE M and NB IoT. The training course provides an in-depth overview of the various aspects of the new LTE based radio, LTE M connectivity and NB IoT concepts optimized for IoT. Internet of Things (IoT) has demonstrated a clear market need for many utility, power and energy business use cases, sensors must have battery-efficient connectivity to unlock the true potential of IoT. LTE M is the simplified industry term for the LTE MTC low power wide area (LPWA) technology standard published by 3GPP in the Release 13 specification. It specifically refers to LTE Cat M1, suitable for the IoT. LTE M is a low pow...

Space Systems Engineering Fundamentals Training

Space Systems Engineering Fundamentals training by Tonex introduces fundamental principles of systems engineering applied to space systems. The course " Space Systems Engineering Fundamentals " provides an overview of space systems engineering, covering topics such as Introduction to Space Systems Engineering, Space Environment, Orbital Mechanics, Spacecraft Subsystems, Design and Integration, Launch Vehicles and Launch Operations, Mission Operations, and Reliability and Safety. It is designed for engineers, scientists, and managers involved in the design, development, and operation of space systems. Course deigned for: The "Space Systems Engineering Fundamentals" course is designed for engineers, scientists, and managers who are interested in learning the basics of space systems engineering. It is beneficial for those interested in pursuing a career in the space industry. Why attend? Attending the "Space Systems Engineering Fundamentals" course by Tonex c...

CCSDS Systems Engineering Training, Consultative Committee for Space Data Systems

CCSDS Systems Engineering Training, Consultative Committee for Space Data Systems. CCSDS Training. Tonex Training offers 2 days technical course on Space Data Systems , Course number 908. This course covers CCSDS’s goals and benefits, end-to-end data systems, space data system physical interfaces, space data system functional model and recommendations. What is CCSDS ? The Consultative Committee for Space Data Systems (CCSDS) was founded in 1982 allied the major space agencies of the world. The goal was to provide a forum for discussion of common problems in the development and operation of space data systems. Course designed for : This CCSDS course is best fit for, Network managers, Applications developers, Product managers, Sales and marketing professionals involved in CCSDS projects. Learning Opportunity : Intro to CCSDS Summary of the problem to solve Overview of CCSDS's data- and information-system Recommendations (Blue Books) Introduction to Space Protocol Stack Overview of CC...