Event details

  • 04 May, 2019 11 : 00 am -
    04 May, 2019 02 : 00 pm
  • Vanita
  • Prog360 Classroom, Southern Park, New Delhi, India, Delhi

About the event


What To Expect:
Mode of Delivery - The classes are held both online and in physical classrooms for Individual and Corporates.
Audience - We have a global audience that logs in to work hand in hand with our world-class instructors.
Certification - Available in 47+ Countries Prog360 Certification is accepted globally
Courses available across - Americas, Canada, Europe, Asia, Africa & Middle East, East Asia, Australia and New Zealand
What are the course objectives?
At the end of this course, you will be able to:
Develop an appreciation for what is involved in learning models from data.
Understand a wide variety of learning algorithms.
Understand how to evaluate models generated from data.
Apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the models.
Overview
Based on fundamental knowledge of computer science principles and skills, probability and statistics theory, and the theory and application of linear algebra. This course provides a broad introduction to machine learning and statistical pattern recognition.
Course Schedule
This course will be taught over 13 weekends starting on May 4, 2019
Dates: May 4-5, 11-12, 18-19, 25-26 2019
June 01-02, 08-09, 15-16, 22-23, 29-30 2019
July 06-07, 13-14, 20-21, 27-28 2019
Saturday, Sunday every weekend
11am – 02pm PST (US Pacific Standard Time) 
Why Is This Program Different:
The Instructors - Our instructors are industry experts, people who have been there and done that. They not only encourage questioning but also give solutions that are practical and applicable at an enterprise level.
The Practice - We provide an actual cluster for hands-on practicing. It removes the need to install virtual machines and makes learning easier and fun.
The Curriculum - Created by industry experts to equip attendees to hit the ground running. Our interactive sessions along with the curated curriculum make starting a project at work or attending an interview or just upscaling your career a cake walk.
What you need for this training?
A laptop and a stable Inernet connection.
Topic Coverage
Introduction in Machine Learning.
Statistical Foundations.
Decision Tree learning.
Artificial Neural Networks.
Support Vector Machines.
Bayesian Learning.
Instance based learning.
Unsupervised learning.
Reinforcement Learning.
Who should take this program?
This Machine Learning training course will be suitable for:
Developers aspiring to be a data scientist or machine learning engineer
Analytics managers who are leading a team of analysts 
Business analysts who want to understand data science techniques
Information architects who want to gain expertise in machine learning algorithms 
Analytics professionals who want to work in machine learning or artificial intelligence
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 insights
For any enquiries you can always reach us at dHJhaW5pbmcgfCBwcm9nMzYwICEgY29t  or call us at +91 981-064-3989.
Corporate Training Solutions also available.

Posted by : Vanita

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