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Machine Learning certification course in New York

Workshop Title
Machine Learning certification course in New York
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Workshop Date
16-03-2019 to 20-04-2019
New York, United States

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Training and Courses
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All (State/Province/Region, National & International)
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Computer Science

Information Technology


New York, United States

Machine Learning certification course in New York

This Machine Learning course in New York will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer.

Why learn Machine learning?

Machine learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of machine learning

The machine learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period

What are the objectives of our Machine Learning Certification Training course?

This Machine Learning online course will provide you with insights into the vital roles played by machine learning engineers and data scientists. Upon completion of this course, you will be able to uncover the hidden value in data using Python programming for futuristic inference. You will work with real-time data across multiple domains including e-commerce, automotive, social media and more. You will learn how to develop machine learning algorithms using concepts of regression, classification, time series modelling and much more.

What skills will you learn with our Machine Learning Certification Course?

  • Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modelling
  • Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach that includes working on four major end-to-end projects and 25+ hands-on exercises
  • Acquire thorough knowledge of the statistical and heuristic aspects of machine learning
  • Implement models such as support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-means clustering and more in Python
  • Validate machine learning models and decode various accuracy metrics. Improve the final models using another set of optimization algorithms, which include Boosting & Bagging techniques
  • Comprehend theoretical concepts and how they relate to the practical aspects of machine learning

Who should take this Machine Learning Training Course?

There is an increasing demand for skilled machine learning engineers across all industries, making this Machine Learning certification course well-suited for participants at the intermediate level of experience. We recommend this Machine Learning training course for the following professionals in particular:

  • 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

What are the prerequisites for this Machine Learning course?

Participants in this Machine Learning online course should have:

  1. Familiarity with the fundamentals of Python programming 
  2. Fair understanding of the basics of statistics and mathematics

Lesson 1: Introduction to Artificial Intelligence and Machine Learning

Lesson 2: Techniques of Machine Learning

Lesson 3: Data Preprocessing

Lesson 4: Math Refresher

Lesson 5: Regression

Lesson 6: Classification

Lesson 7: Unsupervised learning - Clustering

Lesson 8: Introduction to Deep Learning

Course end Projects (New)

FREE COURSE: Data Science with Python

FREE COURSE: Programming with Python 3

FREE COURSE: Math Refresher

Registration Fees
Not Mention
Registration Ways
New York