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Hands-On Machine Learning with OpenCV 4

Apply Machine Learning on Images and Videos using OpenCV 4
4.1
4.1/5
(12 reviews)
72 students
Created by

7.9

Classbaze Grade®

5.9

Freshness

8.2

Popularity

9.1

Material

Apply Machine Learning on Images and Videos using OpenCV 4
Platform: Udemy
Video: 2h 2m
Language: English
Next start: On Demand

Best OpenCV classes:

Classbaze Rating

Classbaze Grade®

7.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

5.9 / 10
This course was last updated on 1/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.2 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 7.9 / 10
The course includes 2h 2m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 44 minutes of 35 OpenCV courses on Udemy.
Detail Score: 9.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
1 resources.
0 exercise.
0 test.

In this page

About the course

Computer Vision has been  booming in the past few years and it has become a highly sought-after  skill. There are tons of real-life problems for which Machine  Learning-based solutions provide significantly better results than  traditional ad-hoc approaches. The application of Machine Learning and  Deep Learning is rapidly gaining significance in Computer Vision.
All the latest tech—from self-driving cars to autonomous drones—uses AI  running on images and videos. If you want to get your hands dirty with  this technology and use it to craft your own unique solutions, then look  no further because this course is perfect for you!
This hands-on course will immerse you in Machine Learning, and you’ll  learn about key topics and concepts along the way. This course is  perfect for people who wish to explore the possibilities inherent in  Machine Learning. 

About the Author

Colibri Digital is a  technology consultancy company founded in 2015 by James and Ingrid  Cross. The company works to help its clients navigate the rapidly  changing and complex world of emerging technologies, with deep expertise  in areas such as big data, data science, Machine Learning, and cloud  computing.
Over the past few years, they have worked with some of the World’s  largest and most prestigious companies, including tier 1 investment  banks, a leading management consultancy group, and one of the world’s  most popular soft drinks companies, helping each of them to better make  sense of its data, and process it in more intelligent ways.
At the frontier of AI, big data and cloud computing, we are Colibri Digital.
Sourav Johar has over two years’ experience with OpenCV and over 3  years’ experience coding in Python. He has also developed an open-source  library, which is built on top of OpenCV. Along with this, he has  developed several Machine Learning and Deep Learning solutions, using  OpenCV for video analysis.
As a Computer Vision enthusiast, he completely understands the problems  students face. He is very passionate about programming and enjoys making  programming tutorials on YouTube. He is currently working for Colibri  Digital (@colibri_digital) as an instructor. 

What can you learn from this course?

✓ Become more experienced with using OpenCV and its vast in-built functionalities.
✓ Apply various Machine Learning algorithms to real-life problems.
✓ Explore Supervised Learning and Unsupervised Learning approaches in Computer Vision.
✓ Master the standard template/pipeline while designing ML solutions.
✓ Work with various datasets and visualize them.
✓ Get familiar with multiple ways to perform real-time object detection.
✓ Train your own custom image classifier using Convolutional Neural Networks.

What you need to start the course?

• If you have some understanding of Python and OpenCV and want to learn about real-life applications of machine learning via working examples that use ML algorithms, this course is for you!

Who is this course is made for?

• This course targets Python developers who want to use OpenCV and apply it to machine learning for Computer Vision. This course can be used as a generic resource to bridge the gap from beginner to mastering computer vision implementations in machine learning. This course can be used as a generic resource to bridge the gap from beginner to mastering computer vision implementations in machine learning. This course can be used as a generic resource to bridge the gap from beginner to mastering computer vision implementations in machine learning.

Are there coupons or discounts for Hands-On Machine Learning with OpenCV 4 ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $94.99. So you save $80 if you enroll the course now.
The average price is $15.3 of 35 OpenCV courses. So this course is 2% cheaper than the average OpenCV course on Udemy.

Will I be refunded if I'm not satisfied with the Hands-On Machine Learning with OpenCV 4 course?

YES, Hands-On Machine Learning with OpenCV 4 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Hands-On Machine Learning with OpenCV 4 course, but there is a $80 discount from the original price ($94.99). So the current price is just $14.99.

Who will teach this course? Can I trust Packt Publishing?

Packt Publishing has created 1,262 courses that got 66,776 reviews which are generally positive. Packt Publishing has taught 394,771 students and received a 3.9 average review out of 66,776 reviews. Depending on the information available, we think that Packt Publishing is an instructor that you can trust.
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7.9

Classbaze Grade®

5.9

Freshness

8.2

Popularity

9.1

Material

Platform: Udemy
Video: 2h 2m
Language: English
Next start: On Demand

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