No-Code Machine Learning: Practical Guide to Modern ML Tools
$84.99 $12.99Track price
Do you want to leverage the power of Machine Learning without writing any code?
Do you want to break into Machine Learning, but you feel overwhelmed and intimidated?
Do you want to leverage Machine Learning for your business, but you don’t have data science or mathematics background?
If the answer is yes to any of these questions, you came to the right place!
This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale.
Machine Learning is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects.
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. Machine Learning techniques are widely used in several sectors nowadays such as banking, healthcare, transportation, and technology.
In this course, we will cover top 3 brand new tools to build, train and deploy cutting edge machine learning models without writing a single line of code! We will cover the new Google Vertex AI, Microsoft Azure Machine Learning Designer, and DataRobot AI.
Specification: No-Code Machine Learning: Practical Guide to Modern ML Tools
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8 reviews for No-Code Machine Learning: Practical Guide to Modern ML Tools
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Price | $12.99 |
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Provider | |
Duration | 6.5 hours |
Year | 2021 |
Level | All |
Language | English ... |
Certificate | Yes |
Quizzes | Yes |
$84.99 $12.99
Keith C Gray –
I am really enjoying the course, so far. I am going to try to complete all of the material this weekend. It is very encouraging.
F Z –
Dr. Ahmad is awesome. He has a knack for simplifying the complex and is a great communicator. Thank you Dr. Ahmad, just what I needed.
Michael Weaver –
This is probably a bit below me, I know all this already, but still a good refresher I guess
Paul babu –
Gave me a hope and expectation of building up my expertise and skills in ML. As i am not from a coding background, it was quite a bit hard for me to catch up on ML courses which I have enrolled in other sources. The instructor was good and elite. He explained the course without any complications.
Deepankar Chakrabarti –
Did not get value for money. The course is more for students in secondary schools. The Appendix with high end concept although optional is completely out of place for what has been taught in the course.
Semantics J King Jr –
He seems to be a really great teacher. He backs up his PhD designation by demonstrating that exactly. I like the way he teaches and recaps all previous lectures he covered before moving on to the next topic. I went along with him as de demonstrated all the three projects, I only took away one start before I would have loved to have gotten better instructions on how to create and log into the Google Cloud.com account in order to follow him along. It took a fellow student in the group to get me pass the hurdle on Google Cloud. Even so, did not fully follow along as I got stuck along the way again even after following the directions my fellow student sent my way in the Q&As sesssion. Other than that,it’s a great course. I really enjoyed it and hope to use it to get a job in the banking/finance industry.
Matthew Bouraee –
Absolutely incredible: the instructor and the tools!
Nathan Lanza –
Completed the courser, it was a good refresher of main concepts! Also learned new ML tools.