Machine Learning

Overview

Machine Learning provides advanced-level training on Machine Learning applications and algorithms. It will give you hands-on experience in multiple, highly sought-after machine learning skills in both supervised and unsupervised learning.

Target Audience

Duration- 2days Workshop + Post Workshop Support

Deliverables

Learning Out Come

Machine Learning

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https://dreamsplus.in/courses/machine-learning/ Machine Learning
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Overview

Machine Learning provides advanced-level training on Machine Learning applications and algorithms. It will give you hands-on experience in multiple, highly sought-after machine learning skills in both supervised and unsupervised learning.

Target Audience

 

  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Data Science professionals who already have experience in R or Python
  • Professionals working in eCommerce, search, and other online consumer-based organizations
  • Software professionals looking for a career switch into the field of analytics
  • Graduates looking to build a career in Data Science and machine learning
  • Experienced professionals who would like to harness machine learning in their fields to get more insight about customers

Duration- 2days Workshop + Post Workshop Support

Deliverables

  • 2 days Instructor-Led Classroom training from Certified Trainer of Senior Profile.
  • Course materials(soft copy) and practice exercises
  • Data Analytics Course Completion Certification

Learning Out Come

  • Classify the types of learning including supervised and unsupervised
  • Identify the various applications of machine learning algorithms
  • Perform supervised learning techniques: linear and logistic regression
  • Understand classification data and models
  • Use unsupervised learning algorithms including deep learning, clustering, and recommendation systems
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  • Enrolled 50
Date : 11/10/2023 Language : Japanees

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Exam Details

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  • Exam duration: 90 minutes
  • Number of questions: 40
  • Pass mark: 65% (26 out of 40)
  • Open book/notes: no

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