Nimish Narang – Mobile Machine Learning: The Complete Masterclass (50 Hours)
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Nimish Narang – Mobile Machine Learning: The Complete Masterclass (50 Hours)
This 50-hour masterclass is perfect for iOS and Android developers of all levels who want to learn how to integrate machine learning into app development.
You’ll learn how to leverage powerful machine learning tools to help your apps stand out in the increasingly competitive markets of the App Store and Google Play.
If you work for an app development company as a software engineer, machine learning is the number one skill to learn to get a promotion.
This course will show you how to build practical projects so that you can show proof of your machine learning skills, rather than talking about theory. No stress, just projects.
This course gives a full introduction to app development for iOS and Android before implementing machine learning, so it is 100% beginner-friendly.
In the curriculum: Learn Android Neural Networks, Keras, Python, Java, PyCharm, Android Studio, TensorFlow and Unity Machine Learning. You will explore neural networks, deep learning and artificial intelligence.
Machine learning + apps = one happy developer.Build projects and apps driven by machine learning for Android™ and iOS in this 50-hour online course bundle. Learn Android Neural Networks, Keras, Python, Java, Swift, PyCharm, Android Studio, Xcode, TensorFlow and Unity Machine Learning. You will explore machine learning, neural networks, deep learning, and artificial intelligence.
BONUS 4: Unity Machine Learning with Python
Sneak Peek
Preview a lecture, Project Demo of Stock Market Prediction, in full for free right now!
WHO SHOULD ENROLL?
- Anyone who wants to learn to code in Python, Java and Swift.
- Anyone who wants to use machine learning in a mobile environment.
- Anyone who wants to build, train, and test machine learning models.
- Anyone who wants tools to work in the future of the world around us as artificial intelligence becomes more prevalent in everything we do.
No Experience Required
We design our tutorials for people with NO EXPERIENCE. In a Mammoth Interactive curriculum, you get as much useful information as possible from every minute. No longer do you need to spend time putting together knowledge from YouTube videos. We’ve curated what you need to know.
Learn At Your Own Pace
What’s great about online learning is that there are no deadlines or stress. You can speed up or slow down videos. Completing a project takes a lot of work and time, and with Mobile Machine Learning, you can work at your own pace.
Coding bootcamps don’t work for everyone. Why spend money when you can make money? Save thousands of dollars, and make thousands of your own.
COURSE BREAKDOWN
Mobile Machine Learning: The Complete Masterclass
Level 1: Introduction to Machine Learning and Softwaree
We’ll give you all necessary information to succeed from newbie to pro.
You will install PyCharm 2017.2 and explore the interface.
You will learn crucial Python 3.6 language fundamentals. Even if you have coding knowledge, going back to the basics is the key to success as a programmer.
Then we will install Android Studio 3 and explore the interface.
You will learn how to add a simulator and build simple User Interfaces (UIs).
For coding, you will learn Java 8 language fundamentals.
You will build and run Android projects directly in the course.
Level 2: Machine Learning in Android Studio Projects
Discover applications of machine learning and where we use machine learning daily.
Explore different machine learning mechanisms and commonly used algorithms.
Follow along to build a complete computational model. You’ll train and test a model and use it for future predictions.
Build a linear regression model to fit a line through data. You’ll be able to train, test, evaluate, and predict.
Level 3: Build Image Recognition Apps
Optimize for intelligent apps: discover the TensorFlow mobile framework and build scientific analysis apps.
You’ll learn how to use the Android neural network (ANN) API.
You’ll build stock market prediction, weather prediction and text response projects.
Level 4: Image Analysis with Keras
Give your apps the power to recognize and classify images using the Keras framework.
You’ll learn how to use the powerful Keras library.
You’ll build a simple image recognition project using the CIFAR-10 library.
Build apps with facial recognition and happy/sad face detection
Level 5: Increase Efficiency of Machine Learning Models
Build apps like the pros: explore pre-built models and sneak a peek at TensorFlow Lite.
You’ll build machine learning models to classify images AND text.
You’ll also be able to summarize text.
Gain unique skills to build apps that perform object localization.
BONUS 1: Learn Unity AI by Making a Tank Game
Use the A* algorithm to make a 2D game in Unity. Use a pathfinding algorithm to build a game that uses artificial intelligence.
Learn to code for game development in Unity C#.
BONUS 2: Make a Starship Unity Game Powered by Artificial Intelligence
Mine a unique world using NavMesh artificial intelligence.
Make a 3D pathfinding game with C#.
BONUS 3: The Secret to Smoother Gameplay with Unity AI
Implement realistic agent movement while making a 2D Unity game!
In this course you will learn one of many aspects of artificial intelligence.
BONUS 4: Unity Machine Learning with Python
Teach a sled controlled by artificial intelligence to catch falling Christmas presents!
Teach the computer to recognize the present’s location.
While making a simple scene, we will learn many settings and adjust programs.
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