Hands-On Machine Learning: Learn TensorFlow, Python, & Java!

Hands-On Machine Learning: Learn TensorFlow, Python, & Java!
Jump into a field with more demand than supply. Apps driven by machine learning are the future of mobile app development
Description

Python, Java, PyCharm, Android Studio and MNIST. Learn to code and build apps! Use machine learning models in hands-on projects. ⭐ ⭐ ⭐ ⭐ ⭐

A wildly successful Kickstarter funded this course

Explore machine learning concepts. Learn how to use TensorFlow 1.4.1 to build, train, and test _machine learning models. _We explore Python 3.6.2 and Java 8 languages, and how to use PyCharm 2017.2.3 and Android Studio 3 to build apps.

A machine learning framework for everyone

If you want to build sophisticated and intelligent mobile apps or simply want to know more about how machine learning works in a mobile environment, this course is for you.

Be one of the first

There are next to no courses on big platforms that focus on mobile machine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment.

We provide clear, concise explanations at each step along the way so that viewers can not only replicate, but also understand and expand upon what I teach. Other courses don’t do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do.

No prior knowledge is required

We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because it’s designed for beginners.

Jump into a field that has more _demand _than supply

Machine learning changes everything. It’s bringing us self-driving cars, facial recognition and artificial intelligence. And the best part is: anyone can create such innovations.

“This course is GREAT! This is what I want!” – Rated 5 Stars by Mammoth Interactive Students

Enroll Now While On Sale

Who this course is for:

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