Use Machine Learning to Make Apps and AI to Detect Fraud هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

This is our epic course with 5projects inartificial intelligence andmachine learning:

01.Make your first Android app from scratch

02. Make your first machine learning model with theTensorFlow framework

03. Make an Android app that can analyzeand predict handwrittendigit data

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

05. Makean 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 useArtificial 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 youlearn by doing.

Intro to TensorFlow for Android

We from Mammoth Interactive are here to tell you that your Android and iOS apps can become smarter, stronger andmore convenientthanks to machine learning. Better yet, well show you how to build your very own intelligent software that grows with you.

A wildly successful Kickstarter funded this course

Machine learning is changing the world around us. Its bringing us self-driving cars, facial recognition and artificial intelligence. ML began on computers, but the next big wave is machine learning for mobile. Have you ever thought: why cant my mobile device domore?

Specific languages andsoftware you'll learn

Python 3: Flexible and comprehensive, Python is an easy-to-use language that we will use to write powerful machine learning programs and other scripts.

Java: Object-oriented and reliable, Java is one of the most widely-used languages and has been the choice language of Android applications for years.

PyCharm2017:Write, compile and run Python code in one convenient location.

Android Studio 3:Build Android apps by providing both graphical and programming interfaces for front and back end functionality.

TensorFlow:Allows us to build computational graphs & neural networks and perform intense tasks like training and optimizing models with ease.

Become a mobile machine learningguru! We'll see you inside!

Weblend theoretical knowledgewithhands-on codingprojectsto teach you everything you need to know as a beginner to credit card fraud detection.Join Mammoth Interactive in this course now.