Course Description

Machine Learning – Deep Learning & Computer Vision: An Introduction

Study 365



Overview

Deep Learning & Computer Vision: an Introduction is the perfect course for students who want exposure to Machine Learning. This course will cover topics such as: Artificial Neural Networks, how to install Python, and Handwritten Digit Recognition.

Learning with Study 365 has many advantages. The course material is delivered straight to you and can be adapted to fit in with your lifestyle. It is created by experts within the industry, meaning you are receiving accurate information, which is up-to-date and easy to understand.

This course is comprised of professional learning materials, all delivered through a system that you will have access to 24 hours a day, 7 days a week for 365 days (12 months).

Course Curriculum

1: Look Long, Look Deep

Who is it for?

  • Analytics professionals, modellers, big data professionals who haven’t had exposure to machine learning
  • Engineers who want to understand or learn machine learning and apply it to problems they are solving
  • Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
  • Tech executives and investors who are interested in big data, machine learning or natural language processing
  • MBA graduates or business professionals who are looking to move to a heavily quantitative role

Course description:

This course consists of the following modules:

  • Module 1: Look Long, Look Deep

Course Duration:

From the day you purchase the course, you will have 12 months access to the online study platform. As the course is self-paced you can decide how fast or slow the training goes, and are able to complete the course in stages, revisiting the training at any time.

Method of Assessment:

At the end of each module, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed.

Certification:

Successful candidates will be awarded a certificate for Machine Learning – Deep Learning & Computer Vision: An Introduction.

Presenter Information:

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum

Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum


Course Code S 0280
College Name Study 365
Course Category Computers & IT (Information Technology), IT Management
Course Type Online Learning
Course Qualification CPD
Course Location Athlone, Westmeath, Dublin, Ireland
Course Fee 33
Course Duration 365 Days
Entry Requirements • Learners must be age 16 or over and should have a basic understanding of the English Language, numeracy, literacy, and ICT. • Some knowledge of undergraduate level maths would be helpful but is not mandatory. • Working knowledge of Python would be helpful if you want to run the source code that is provided.
Career Path • Analytics • Big data engineering • Tech • Engineering • Product management
For information about Study 365, please visit our college page on www.nightcourses.com by clicking here.

Course Provider

Study 365



New Broad Street House, 35 New Broad Street, London. EC2M 1NH, United Kingdom, Cavan, United Kingdom

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Study 365
New Broad Street House, 35 New Broad Street, London. EC2M 1NH, United Kingdom, Cavan, United Kingdom

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