MACHINE LEARNING ONLINE TRAINING

KITS Online Training Institute provides best Machine Learning Online Training by our highly professional trainers.We are delighted to be one of the best leading IT online training with best experienced IT professionals and skilled resources. We have been offering courses to consultants, companies so that they can meet all the challenges in their respective technologies.

Machine Learning Training Course Content

Week 1: Introductory Topics

Week 2: Linear Regression and Feature Selection

Week 3: Linear Classification

Week 4: Support Vector Machines and Artificial Neural Networks

Week 5: Bayesian Learning and Decision Trees

Week 6: Evaluation Measures

Week 7: Hypothesis Testing

Week 8: Ensemble Methods

Week 9: Clustering

Week 10: Graphical Models

Week 11: Learning Theory and Expectation Maximization

Week 12: Introduction to Reinforcement Learning

Highlights of Machine Learning Online training:-

*  Very in depth course material with Real Time Scenarios for each topic with its Solutions for Machine Learning Online Trainings.

*  We Also provide Case studies  for Machine Learning Online Training.

*  We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real time Experts.

*  We provide you with your recorded session for further Reference.

* We also provide Normal Track, Fast Track and Weekend Batches also for Machine Learning Online Training.

* We also provide Cost Effective and Flexible Payment Schemes.

What is Machine Learning?

Machine Learning is a system that can learn from example through self-improvement and without being explicitly coded by programmer. The breakthrough comes with the idea that a machine can singularly learn from the data (i.e., example) to produce accurate results.

Machine learning combines data with statistical tools to predict an output. This output is then used by corporate to makes actionable insights. Machine learning is closely related to data mining and Bayesian predictive modeling. The machine receives data as input, use an algorithm to formulate answers.

A typical machine learning tasks are to provide a recommendation. For those who have a Netflix account, all recommendations of movies or series are based on the user’s historical data. Tech companies are using unsupervised learning to improve the user experience with personalizing recommendation.

Machine Learning vs. Traditional Programming

Traditional programming differs significantly from machine learning. In traditional programming, a programmer code all the rules in consultation with an expert in the industry for which software is being developed. Each rule is based on a logical foundation; the machine will execute an output following the logical statement. When the system grows complex, more rules need to be written. It can quickly become unsustainable to maintain.

Machine learning is supposed to overcome this issue. The machine learns how the input and output data are correlated and it writes a rule. The programmers do not need to write new rules each time there is new data. The algorithms adapt in response to new data and experiences to improve efficacy over time.

Application of Machine learning

Augmentation:

  • Machine learning, which assists humans with their day-to-day tasks, personally or commercially without having complete control of the output. Such machine learning is used in different ways such as Virtual Assistant, Data analysis, software solutions. The primary user is to reduce errors due to human bias.

Automation:

  • Machine learning, which works entirely autonomously in any field without the need for any human intervention. For example, robots performing the essential process steps in manufacturing plants.

Finance Industry

  • Machine learning is growing in popularity in the finance industry. Banks are mainly using ML to find patterns inside the data but also to prevent fraud.

Government organization

  • The government makes use of ML to manage public safety and utilities. Take the example of China with the massive face recognition. The government uses Artificial intelligence to prevent jaywalker.

Healthcare industry

  • Healthcare was one of the first industry to use machine learning with image detection.

Marketing

  • Broad use of AI is done in marketing thanks to abundant access to data. Before the age of mass data, researchers develop advanced mathematical tools like Bayesian analysis to estimate the value of a customer. With the boom of data, marketing department relies on AI to optimize the customer relationship and marketing campaign.

What you will learn in this Machine learning course?

  • Fundamentals of using data to train machines
  • Representation of an artificial neural network
  • Linear regression with multiple variables
  • Logistic regression for classifying data
  • Support Vector Machines algorithms
  • Designing of a machine learning system
  • Principle Component Analysis for data modeling.

What are the prerequisites to learn machine learning?

Anybody can take this Training Course regardless of their prior skills.

Scheduling Demo With Trainer:

If you would like to take the online demo for Machine Learning trainer can you please make an inquiry or fill the form for demo registration, one of our executives will arrange a meeting with the expert trainer.

Course Finished Certificate :

After finish, the course we provide Machine Learning course finished certificate of kits technologies looks like

datastage online training

 

 

 

Machine Learning Online Training Overall rating: ★★★★☆ 4.4 based on 435 reviews
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