Do you want to build machine learning models? This course is for you.
Python, Java, PyCharm, Android Studio, MNIST, and more. Learn to code and build apps!
Funded by a #1 Kickstarter Project
Coding Fundamentals in the Java Language
Building Data Models in TensorFlow
Processing, Graphing, and Predicting Text Data
Summarizing Text Data
Recognizing Objects in Images
Handling Image Datasets
Recognizing Images for iOS and Android
Explore machine learning concepts. Learn how to use TensorFlow 1.4 to build, train, and test machine learning models. We explore Python 3.6.2 and Java 8 languages, and how to use PyCharm 2017 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.
We provide clear, concise explanations at each step along the way so that viewers can not only replicate, but
Understand and expand upon lectures and projects with 5-star Udemy instructor Nimish Narang from Mammoth Interactive. 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.
Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the course Hands-On Machine Learning: Learn TensorFlow, Python, & Java!
No Prior Knowledge 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 with ore 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.
Enroll Now for Lifetime Access