Use Machine Learning to Make Apps and AI to Detect Fraud

This is our epic course with 5 projects in artificial intelligence and machine learning:

01. Make your first Android app from scratch

02. Make your first machine learning model with the TensorFlow framework

03. Make an Android app that can analyze and predict handwritten digit data

04. Make an advanced app with the MNIST database of digits

05. Make an app that can predict the weather

This course was funded by a wildly successful Kickstarter.

Learn to build neuron functions, convolutional layers, and graphs to read handwritten digit data.

Learn to code in Java and Python. Design the user interface of every app you make. Learn to maximize efficiency to build apps as quickly as possible and save time with good coding practices.

Learn to test databases and build functions that connect to graphs. Train and test models that can detect credit card fraud.

Test yourself with 8 coding exercises. Understand machine learning concepts that are shaping the future of app development. 

Create a credit card fraud detection model! Learn predictive modeling, logistic regression, linear regression, and regression analysis.

Use PyCharm, Java & Android Studio to make apps using artificial intelligence. Learn with hands–on projects & examples!

Do you want to learn how to use Artificial Intelligence (AI) for automation? In this course, we cover coding in Python, working with TensorFlow, and analyzing credit card fraud. We interweave theory with practical examples so that you learn by doing.