Machine Learning Expert

Why This Course

  • Machine learning enables computers to act and make data-driven decisions rather than being explicitly programmed to carry out a certain task.

  • It enables computers to get into a mode of self-learning without being explicitly programmed.

  • Machines can aid in filtering useful pieces of information that help in major advancements, and we are already seeing how this technology is being implemented in a wide variety of industries.

  • The long-term future of machine learning is very bright.Machine learning is already an incredibly powerful tool that can do a surprisingly good job of solving really hard classification problems.

  • The global machine learning market is expected to grow from USD 1.41 Billion in 2017 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1%.

  • The main driving factors for the market are proliferation in data generation and technological advancement.

Prerequisite for the course
There is no prerequisite for taking this training.Basic knowledge of any programming language will be beneficial

What You Will Learn

  •  In this course you will learning machine learning, datamining, and statistical pattern recognition.

  • Supervised learning and unsupervised learning.

  • PRE-Processing

  • Normalization,Dimension Reduction,Image Processing.

  • Learning

  • Supervised,Unsupervised.

Course Contents

  • Goals and objectives of machine learning.

  • Anamaly and outlier detection.

  • Density Estimation and model based approaches to machine learning.

  • Deep learning.

  • Machine learning research methodology.

  • Create predictive models with linear algebra and improve them with calculus.

  • Sentence core process,linear Algebra:spread sheets for your equation.

  • Machine Learning.

  •  end-to-end process of investigating data through a machine learning lens, and you'll apply what you've learned to a real-world data set. ... Included in Product.

  • Knowledge Representation.

  • Expert System.

  •  Rich LearningContent. Interactive Quizzes.

Course Description

  • Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns.

  • Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed.

  • When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves.

About Training

Machine learning is a core sub-area of artificial intelligence.Learn about machine learning expert from our trainers from the scratch and become an expert in machine learning expert with the help of trainers and useful materials of the course.

FAQ

What if You miss a  class?

You can access recording video of to your missed class on our website.

Can i attend a demo class before enrollment?

You can view our live-demo  session recordings always.

Who should go for this Training?

This training of qwikmind is suited for all the professional which will be provided by trained IT professional.

Prerequisite for the course?

There is no prerequisite for taking this training.Basic knowledge of any programming language will be beneficial.

What if I have more queries?

Write to us at contact@qwikmind.com with your query and we will get back to you soon.

 
 
 
 
 
 

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