Start building more intelligent apps with Machine Learning. Take advantage of this new foundational framework!
MACHINE LEARNING FOR APPS
Welcome to the most comprehensive course on Core ML, one of Apples hot new features for iOS 11. The goal with Machine Learning is to mimic the human mind. It can be used to identify things like objects or images, make predictions and even analyze and identify speech.
Dive in and learn the core concepts of machine learning and start building apps that can think! In this course you going to learn everything you need to know to start building more intelligent apps and your own ML Models.
WHY TAKE THIS COURSE?
Core ML is the first step if you want to start building apps with AI. Machine Learning opens an entirely new world to opportunities that will take your apps to the next level.
Here are some of the things you'll be able to do after taking this course:
Learn to code how the PROs code - not just copy and paste
Build Real Projects - You'll get to build projects that help you retain what you've learned
Build awesome apps that can make predictions
Build amazing apps that can classify human handwriting
WHAT YOU WILL LEARN:
Learn about the foundation of Machine Learning and Core ML
Learn foundational python
Build a classification model allow your apps to make predictions
Build a neural network for your app that can classify human writing
Learn core ML concepts so you can build your own ML Model
Utilize the power of Machine Learning and AI for use in iOS apps
Learn how to pass in images to Apples pre trained model - MobileNet
Don't forget to join the free live community where you can get free help anytime from other students
Learn to code how the PROs code - not just copy and paste
Build Real Projects - You'll get to build projects that help you retain what you've learned
Build awesome apps that can make predictions
4 Lectures
4 Lectures
8 Lectures
8 Lectures
6 Lectures
12 Lectures
Devslopes transforms beginner students into paid professionals through curated project based videos, interactive quizzes, and exercises. Â After completing each course, you will have a strong portfolio, coupled with the technical understanding to build your own custom applications.Our target students are:First time developersEntrepreneurs who want to build their own technology startupCurrent developers looking to either advance their careers or learn new...
Awesome course! Love the style, the examples, and the hands-on practices.
Another great course by DevSlopes. This is not my first rodeo with DevSlopes, and still I love to learn with their courses.
Good explanations.
The course was well structured and got the necessary information needed! Only issue is there was no one to respond in the Q&A section, which is vital for any online course.
Caleb really know's this stuff! Good Course!
I can't say much, mate you know your stuff. Keep it up.
Very good to understand
Kaleb is really really great teacher. He's excited what his teaching and explains it very well. I learned a lot creating apps with machine learning on this course! Thanks Kaleb and the team of DevSlopes for creating this course! I hope you create a new version of this course on iOS 12 and CoreML2. :)
Caleb is great teacher
I've bought a number of courses on Machine Learning, but this one is making me sit and write a 5 star review for it.
In one word: fantastic!
Have you ever stumbled into a person who really KNOWS what is talking about? That's the guy teaching this course. If you are a self-taught oriented person like me, you will know the feeling when you find a precious learning resource. That's it.
Most courses out there are either too theoretical or too practical. This one nails the sweet spot. This guy's explanations will really make you visualize what Machine Learning is about and grasp the basic tools for the job. Just pull the trigger and buy it. You won't regret.
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Otto V. V.
Even for a six year old course, it provided me with enough information to start my AI/ML-learning path.
In the past years all the developer-tools like Anaconda, Atom, python, Xcode have been changed in such a way that I spent a fair amount of time to figure out how the alternative/new tools (should) work.
It is due to the fact that how the instructor explained the basics of ML in 'plain' python terms that I could finish this course!