The first online course to teach software developers how to create cutting-edge machine learning applications in Python with NimbusML and ML.NET
This course will introduce you to machine learning and AI and get you up to speed with Python and Microsoft's NimbusML library.
NimbusML is a new package that allows you to call Microsoft's awesome new ML.NET machine learning library directly from your Python code. And NimbusML integrates seamlessly with popular libraries you might already be using like Pandas, Numpy and Scikit.
In this course I will give you a solid foundation in machine learning and teach you how to design, train, and evaluate complex AI models. You'll be building Python applications from day one and I will provide you with all the source code, libraries, and data sets you need to get going.
The Python language is the go-to choice in machine learning. It's a 100% dynamic programming language with a powerful syntax and tons of third-party libraries for importing, processing and graphing data.
Check out the following Python code fragment from one of the coding assignments in the course. The code trains a machine learning model to predict heart disease risk from a dataset of real-life patient records, and then uses the fully-trained model to create a diagnosis for a 36 year old male patient with suspicious chest pain.
Look how compact the code is. Python allows you to write extremely concise machine learning code, and it shows!
This app is only 56 lines of code:
“Mark is a fantastic teacher with a deep understanding of his course topics, as well as broader technology / trends. The structure and pacing of Mark’s courses is excellent and he constantly relates the theory to practice, supporting the courses with well-thought-out exercises. This makes his courses really engaging and effective, as well as enjoyable.”
Phil Tomblin, course student
HERE'S WHAT YOU'LL GET
46 Video Lectures
4 Case Studies
Source Code & Data sets
74 Text Lessons
9 Homework Assignments
Private Support Group
24-Hour Response Time
Certificate of Completion
Check out this complimentary lecture from the course in which I will teach you about K-Fold Cross Validation. This is a cool trick in machine learning when we have to train on really small datasets.
Installing Visual Studio Code
What is machine learning?
Loading And Processing Data
Process California housing data
Multiple linear regression
Predict taxi fares in New York
Predict house prices in Iowa
ROC, AUC, and Bias
Predict heart disease
“I have learned so much from your courses, looking forward to more great content. Keep up the amazing work!”
Adam Lindqvist, course student
FREQUENTLY ASKED QUESTIONS
1. Course FAQs
i. I’m a complete beginner in Machine Learning. Are the courses going to be right for me?
Absolutely! The only thing you need to know is how to build simple console applications in F#. Everything else I will teach you step by step. In fact the sooner you enroll, the faster you will get the results that you want.
ii. How much time will it take to go through a course?
Each course contains roughly 6 weeks of content. We encourage you to dedicate at least 2 hours per weekday for about six weeks to keep up with daily assignments.
iii. What if I can’t keep up with the group?
You have lifetime access to all videos and files that come with the course, so you can learn at your own pace.
And if you get stuck you can always just post a question in the support group and the students or I will help you out.
2. Support FAQs
i. Is there support as I go through the program?
You will have daily supervision from me, your instructor. We'll also have group session where you can ask me questions live.
You also have access to a private support group where you can ask questions on a daily basis and get them answered, meet other students and collaborate with them.
ii. What if this program doesn’t meet my needs?
I offer a full one-month money-back guarantee. If you don’t agree that this program is worth every penny I said it was, I will promptly refund your money. No questions asked. No hassle. You have my word on it.
I don’t care if its 29 days 23 hours 59 minutes and 59 seconds, just send me an email, and I’ll promptly refund your money back.
3. Program FAQs
i. How is this program different from other courses?
This course is unique. There is no other course on the market that will teach you how to build machine learning apps in F#.
You will be building machine learning apps from day one. You’ll ‘learn by doing’ and master key ML skills on the fly as you’re coding complex applications. This hands-on approach will have you learn new skills much faster than any other course that only uses text content or training videos.
ii. I already started learning Machine Learning, what can this program do for me?
Well, which results have you received so far? I’m sure you’ve learned a lot, but are you fully leveraging your existing developer skills? Can you build a machine learning app in 1 day? Has your career benefited from your new skills?
This course is unique in that it not only teaches you how to build machine learning apps in F#, but it is also dedicated to your career transformation.
4. Misc FAQs
i. What if I have a question that’s not on this FAQ list?
I’m here to help and want you to be completely comfortable with your investment. Just drop me an email with any questions you may have, at firstname.lastname@example.org