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Machine Learning Practical Workout | 8 Real-World Projects

Build 8 Practical Projects and Go from Zero to Hero in Deep/Machine Learning, Artificial Neural Networks
4.3
4.3/5
(932 reviews)
9,853 students
Created by

9.5

CourseMarks Score®

10.0

Freshness

8.2

Feedback

9.7

Content

Platform: Udemy
Price: $11.99
Video: 14h 14m
Language: English
Next start: On Demand

Top Artificial Intelligence courses:

Detailed Analysis

CourseMarks Score®

9.5 / 10

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

Freshness Score

10.0 / 10
This course was last updated on 4/2021.

Course content can become outdated quite quickly.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.

Student Feedback

8.2 / 10
We analyzed factors such as the rating (4.3/5) 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.

Content Score

9.7 / 10
Video Score: 9.8 / 10
The course includes 14h 14m 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 5 hours 31 minutes of 172 Artificial Intelligence 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:

6 articles.
0 resource.
0 exercise.
0 test.

Table of contents

Description

“Deep Learning and Machine Learning are one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Machine/Deep Learning techniques are widely used in several sectors nowadays such as banking, healthcare, transportation and technology.

Machine learning is the study of algorithms that teach computers to learn from experience. Through experience (i.e.: more training data), computers can continuously improve their performance. Deep Learning is a subset of Machine learning that utilizes multi-layer Artificial Neural Networks. Deep Learning is inspired by the human brain and mimics the operation of biological neurons. A hierarchical, deep artificial neural network is formed by connecting multiple artificial neurons in a layered fashion. The more hidden layers added to the network, the more “deep” the network will be, the more complex nonlinear relationships that can be modeled. Deep learning is widely used in self-driving cars, face and speech recognition, and healthcare applications.

The purpose of this course is to provide students with knowledge of key aspects of deep and machine learning techniques in a practical, easy and fun way. The course provides students with practical hands-on experience in training deep and machine learning models using real-world dataset. This course covers several technique in a practical manner, the projects include but not limited to:

(1) Train Deep Learning techniques to perform image classification tasks.
(2) Develop prediction models to forecast future events such as future commodity prices using state of the art Facebook Prophet Time series.
(3) Develop Natural Language Processing Models to analyze customer reviews and identify spam/ham messages.
(4) Develop recommender systems such as Amazon and Netflix movie recommender systems.

The course is targeted towards students wanting to gain a fundamental understanding of Deep and machine learning models. Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to any student with basic programming knowledge. Students who enroll in this course will master deep and machine learning models and can directly apply these skills to solve real world challenging problems.”

You will learn

✓ Deep Learning Practical Applications
✓ Machine Learning Practical Applications
✓ How to use ARTIFICIAL NEURAL NETWORKS to predict car sales
✓ How to use DEEP NEURAL NETWORKS for image classification
✓ How to use LE-NET DEEP NETWORK to classify Traffic Signs
✓ How to apply TRANSFER LEARNING for CNN image classification
✓ How to use PROPHET TIME SERIES to predict crime
✓ How to use PROPHET TIME SERIES to predict market conditions
✓ How to develop NATURAL LANGUAGE PROCESSING MODEL to analyze Reviews
✓ How to apply NATURAL LANGUAGE PROCESSING to develop spam filder
✓ How to use USER-BASED COLLABORATIVE FILTERING to develop recommender system

Requirements

• Deep Learning and Machine Learning basics
• PC with Internet connetion

This course is for

• Data Scientists who want to apply their knowledge on Real World Case Studies
• Deep Learning practitioners who want to get more Practical Assigmetns
• Machine Learning Enthusiasts who look to add more projects to their Portfolio

How much does the Machine Learning Practical Workout | 8 Real-World Projects course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.
The average price is $14.7 of 172 Artificial Intelligence courses. So this course is 18% cheaper than the average Artificial Intelligence course on Udemy.

Does the Machine Learning Practical Workout | 8 Real-World Projects course have a money back guarantee or refund policy?

YES, Machine Learning Practical Workout | 8 Real-World Projects has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Machine Learning Practical Workout | 8 Real-World Projects course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Dr. Ryan Ahmed, Ph.D., MBA a SCAM or a TRUSTED instructor?

Dr. Ryan Ahmed, Ph.D., MBA has created 19 courses that got 12,803 reviews which are generally positive. Dr. Ryan Ahmed, Ph.D., MBA has taught 188,514 students and received a 4.4 average review out of 12,803 reviews. Depending on the information available, Dr. Ryan Ahmed, Ph.D., MBA is a TRUSTED instructor.
Professor & Best-selling Udemy Instructor, 200K+ students
Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan’s mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Science, Technology, Engineering and Mathematics to over 200,000+ students globally. He has over 15 published journal and conference research papers on state estimation, AI, Machine learning, battery modeling and EV controls. He is the co-recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA. Ryan is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC’17) in Chicago, IL, USA.* McMaster University is one of only four Canadian universities consistently ranked in the top 100 in the world.

9.5

CourseMarks Score®

10.0

Freshness

8.2

Feedback

9.7

Content

Platform: Udemy
Price: $11.99
Video: 14h 14m
Language: English
Next start: On Demand

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