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Machine Learning About Deep Learning and Computer Vision

ACCREDITED BY CPD & IAP | Free Digital Certificate Included | Unlimited Access 365 Days | Quality e-Learning Materials


1 Training

Summary

Price
£390 inc VAT
Or £65.00/mo. for 6 months...
Study method
Online
Duration
2 hours · Self-paced
Access to content
365 days
Qualification
No formal qualification
CPD
2 CPD hours / points
Additional info
  • Exam(s) / assessment(s) not included in price, and must be purchased separately
  • TOTUM card available but not included in price What's this?

Overview

Machine Learning About Deep Learning and Computer Vision

This excellent Machine Learning – Deep Learning & Computer Vision: An Introduction course will teach you the most cutting edge topics in Machine Learning. If you’re someone who works in analytics, or with big data, this Machine Learning – Deep Learning & Computer Vision: An Introduction course will show you how to design and implement a simple computer vision use-case and so much more. If you’re someone who needs to get to grips with machine learning, this course is for you, and it will help you to grasp the theory underlying both deep learning and computer vision.

Our learning material is available to students 24/7 anywhere in the world, so it’s extremely convenient. These intensive online courses are open to everyone, as long as you have an interest in the topic! We provide world-class learning led by IAP, so you can be assured that the material is high quality, accurate and up-to-date.

What skills will I gain?

  • Design and Implement a simple computer vision use-case: digit recognition
  • Confidently move on to more complex and comprehensive material on these topics
  • Grasp the theory underlying deep learning and computer vision
  • Understand use-cases for computer vision as well as deep learning

CPD

2 CPD hours / points
Accredited by The CPD Certification Service

Course media

Description

COURSE CURRICULUM

Module 01 : Introduction: You, This Course &Us!

Module 02 : Artificial Neural Networks: Perceptrons Introduced

Module 03 : Computer Vision: an Introduction

Module 04 : Perceptron Revisited

Module 05 : Deep Learning Networks: an Introduction

Module 06 : Installing Python: Anaconda & PIP

Module 07 : Code Along: Handwritten Digit Recognition – I

Module 08 : Code Along : Handwritten Digit Recognition – II

Module 09 : Code Along: Handwritten Digit Recognition – III

Method of Assessment

  • You will have one assignment. Pass mark is 65%.
  • You will only need to pay £19 for assessment.
  • You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days.

Certification

Those who successfully pass this course will be awarded a Machine Learning – Deep Learning & Computer Vision: An Introduction certificate. Anyone eligible for certification will receive a free e-certificate.

Meet the Instructor:

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

Who is this course 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

Requirements

This course requires no formal prerequisites and this certification is open to everyone

Career path

  • Data Scientist
  • Big Data Specialist
  • Data Architect
  • Data Analyst

Questions and answers

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Reviews

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.