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 
Labels:

Comments

Post a Comment

Popular posts from this blog

TTNT Training Tactical Targeting Network Technology : Tonex training

TTNT Training, Tactical Targeting Network Technology Training includes all aspects of Department of Defense (DoD)’s TTNT waveforms for use in air-to-air networks of high-speed aircraft at 1755–1850 MHz which is currently used and shared by commercial LTE/LTE-A cellular users. Tactical Targeting Network Technology (TTNT) represents a secure, robust and low latency IP-based TDL waveform delivering the fastest adhoc mesh network to the tactical edge. Learn about: Advanced JTRS waveform for aircraft battlefield communications Overview of Tactical Targeting Network Technology (TTNT) TTNT Architecture and Building Blocks, TTNT related technologies Basics of Tactical Targeting Network Technology (TTNT) waveform technology, TTNT operation, TTNT radio terminals TTNT use cases for dynamic battlespace and networking needs of warfighter, Time Sensitive Target Networking Technology (TSTNT) requirements Tactical Data Link Transformation (TD-L) Capability Document (CDD) Joint Airborne Network
Post a Comment
Read more

How To Learn Cost Risk and Uncertainty Analysis ?

The uncertainty analysis training course covers both theoretical and practical aspects of uncertainty measurements. Learn how to apply risk and uncertainty analysis into decision making and project management. Why do you need uncertainty analysis ? The uncertainty analysis training course will give you a step-by-step training and sufficient knowledge (a combination of information, skills, and tools) about uncertainty estimation that you can perform such assessment in your organization. Learning opportunities, Learning objectives : Understand the principals of measurement uncertainty calculations Practical measurements performing Importance of uncertainty analysis Various statistical approaches Measurement functions Methods of evaluation uncertainty Sensitivity coefficients Determining effective degree of freedom More… Course Outline : It can be tailored based on your needs. Introduction to cost risk and uncertainty Risk and uncertainty cost Schedule risk analysis Initial cost estimates
Post a Comment
Read more

Learning MBSE (Model Based Systems Engineering) in 4 Days

Did you know MBSE reduces cost and improves productivity for manufacturers ? What is MBSE ? MBSE stands for “Model Based Systems Engineering”. MBSE implemented using languages like SysML. And, is a methodology that has achieved a great value over the past 10-15 years and continues to be refined and improved today. Industries with great impact of MBSE There are several industries in this list that are greatly impacted by MBSE. The top industries are, Transportation and mobility Aerospace and defense Industrial equipment Energy and utilities Architecture and construction Life sciences/ High-tech Marine and offshore Financial and business services Consumer goods and retail Natural resources Consumer packaged goods and retail How Does MBSE Reduce Cost ? Over the past decade, manufacturers have sought innovative ways to reduce costs and increase quality and efficiency as well as needing to adopt digital models to support design and development. What is MBSE Goal, Why MBSE is needed ? MBSE
Post a Comment
Read more