Mike West
This was a very comprehensive course on the benefits and how to configure the gradient booster XGBoost. – Kevin
The machine learning engineer is one of the top careers on the planet. That’s not just within the IT space, that’s everywhere. There are a lot of misconceptions about machine learning and in this course you’ll learn exactly what applied machine learning is and how to get started.
There are no shortcuts to success in this career. However, there is a path of least resistance. In this course you’ll learn, step by step, how to get started in applied machine learning. I’m using the word applied here to mean the real–world. This course is about securing a high paying job in the real world, not about research or academia.
This course is for you if:
You are interested in applied machine learning.
You are curious about the explosion of machine learning in data science.
You want to become a machine learning engineer.
You need a real–world guide to becoming a machine learning engineer.
You want to know what real–world machine learning is really like.
You want to know what the shortcut careers to a career as a machine learning engineer are.
Please watch the first several lessons before you purchase the course. These FREE lessons will help you decide if the course is right for you. Thanks!!
Instructor Details
Courses : 7
Specification: How to Become a Machine Learning Engineer
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9 reviews for How to Become a Machine Learning Engineer
Add a review
| Price | $9.99 |
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| Provider | |
| Duration | 1 hour |
| Year | 2019 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$9.99
Kenneth Hensley –
Mike give good and realistic advice.
Michael Harkins –
Great intro the list of bonus & free courses at the end were a, well, bonus! Strong sober intro.
Demayne Collins –
Pretty high level like you mentioned. Thanks. I will take it it from here. Great intro to Machine Learning.
Connie Andrews –
This course was a great overview of machine learning!
John Ertel –
Very high level overview of general information to become a machine learning engineer. I thought the information provided was solid but for a paid course there should have been more information / depth.
Louis Burns –
Good overview of the career
Sean West –
This was a great course from the standpoint that I learned more about ML and what I DON’T want to do in this space. It would have received 5 stars however there was too much time devoted to intro music and video, and personally I think it should have been free. But yes, it was worth to me what I paid for it. If you want to know more about whether to pursue becoming an ML engineer, definitely take this course!
Giovanni De Angelis –
A very good introduction.
Paul Murff –
Great intro