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30-Day Money-Back Guarantee
Development Data Science Artificial Intelligence

Make predictions with Python machine learning for apps

Leverage TensorFlow models to build & improve apps! Use Google's deep learning framework w/ Java & AI. Beginner-friendly
Rating: 4.0 out of 54.0 (41 ratings)
538 students
Created by Mammoth Interactive, John Bura
Last updated 5/2018
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Master the basics: become an expert in Python and Java while learning core machine learning concepts
  • Machine learning goes mobile: learn how to incorporate machine learning models into Android apps
  • Optimize for intelligent apps: discover the TensorFlow mobile framework and build scientific analysis apps

Course content

17 sections • 122 lectures • 17h 25m total length

  • Resources
    00:03

  • Preview02:25
  • Preview06:44
  • Exploring Interface
    12:12
  • Setting up Emulator and Running Project
    06:43

  • Java Language Basics
    02:46
  • Variable Types
    14:00
  • Operations on Variables
    10:49
  • Arrays and Lists
    09:26
  • Array and List Operations
    08:00
  • If Statements and Switch Statements
    11:34
  • While Loops
    10:09
  • For Loops
    08:51
  • Functions
    08:39
  • Parameters and Return Values
    07:05
  • Classes and Objects
    12:14
  • Superclass and Subclasses
    11:42
  • Static Variables and Axis Modifiers
    07:27

  • Android App Development
    01:57
  • Building Basic User Interface
    12:15
  • Connecting UI to Backend
    06:12
  • Implementing Backend and Tidying UI
    09:09

  • ML Concepts Introduction
    02:01
  • Preview02:40
  • How to Install PyCharm and Python
    06:55
  • Let's Explore PyCharm
    07:48
  • (Files) Source Code
    00:02

  • Variables
    13:17
  • Variable Operations and Conversions
    12:35
  • Collection Types
    12:47
  • Operations on Collections
    08:42
  • Control Flow: If Statements
    12:50
  • While and For Loops
    10:44
  • Functions
    11:23
  • Classes and Objects
    15:40
  • (Files) Source Code
    00:02

  • TensorFlow Introduction
    02:53
  • Project Outline
    06:09
  • How to Import TensorFlow to PyCharm
    04:25
  • Constant Nodes and Sessions
    09:01
  • Variable Nodes
    10:46
  • Placeholder Nodes
    07:35
  • Operation Nodes
    12:47
  • Loss, Optimizers, and Training
    11:56
  • Building a Linear Regression Model
    20:30
  • (Files) Source Code
    00:02

  • Introduction to ML for Android
    05:15

  • TensorFlow Estimator Introduction
    03:08
  • Project Outline
    04:12
  • Setting up Prebuilt Estimator Model
    15:15
  • Evaluating and Predicting with Model
    07:42
  • Building Custom Estimator Function
    10:12
  • Testing Custom Estimator Function
    07:00
  • Summary and Model Comparison
    09:46
  • (Files) Source Code
    00:02

  • Intro & Demo: ML Model Import
    04:09
  • Project Outline
    04:22
  • Formatting and Saving Model
    08:25
  • Saving Optimized Graph File
    14:48
  • Starting Android Project
    09:01
  • Building UI
    14:56
  • Implementing Inference Functionality
    09:14
  • Testing and Error Handling
    11:01
  • (Files) Source Code
    00:02

Requirements

  • No experience required!
  • We will show you how to get all required programs for free
  • This course was recorded on a Mac, but you can use a PC

Description

Go through 3 ultimate levels of artificial intelligence for beginners!

Learn artificial intelligence, machine learning, and mobile dev with Java, Android, TensorFlow Estimator, PyCharm, and MNIST. Woah! That's a lot of content for one course.

This course was funded by a wildly successful Kickstarter

Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to improve your apps

Prediction Models Masterclass

By the end of this course you will have 3 complete mobile machine learning models and apps. We will build a simple weather prediction project, stock market prediction project, and text-response project. 

For each we will build a basic version in PyCharm, save the trained model, export the trained model to Android Studio, and build an app around model.

No experience? No problem


We'll give you all necessary information to succeed from newbie to pro. We will install PyCharm 2017.2.3 and explore the interface. I will show you every step of the way. You will learn crucial Python 3.6.2 language fundamentals. Even if you have coding knowledge, going back to the basics is the key to success as a programmer. We will build and run Python projects. I teach through practical examples, follow-alongs, and over-the-shoulder tutorials. You won't need to go anywhere else.

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. Java is a HUGE language that you must know, and I will tell you all about it. We will build and run Android projects directly in the course, and you will have solid examples to apply your knowledge immediately.

Complete Image Recognition and Machine Learning for Beginners

With this course I will help you understand what machine learning is and compare it to Artificial Intelligence (AI). Together we will discover applications of machine learning and where we use machine learning daily. Machine learning, neural networks, deep learning, and artificial intelligence are all around us, and they're not going away. I will show you how to get a grasp on this ever-growing technology in this course. We will explore different machine learning mechanisms and commonly used algorithms. These are popular and ones you should know.

Next I'll teach you what TensorFlow 1.4.1 is and how it makes machine learning development easier. You will learn how to install TensorFlow and access its libraries through PyCharm. You'll understand the basic components of TensorFlow.

Follow along with me to build a complete computational model. We'll train and test a model and use it for future predictions. I'll also show you how to build a linear regression model to fit a line through data. You'll learn to train and test the model, evaluate model accuracy, and predict values using the model.


Stock Market, Weather & Text - Let's Go!



Who this course is for:

  • People who want to learn machine learning concepts through practical projects with PyCharm, Python, Android Studio, Java, and TensorFlow
  • Anyone who wants to learn the technology that is shaping how we interact with the world around us
  • Anyone who is interested in predictive modeling for handling the stock market, weather, and text

Instructors

Mammoth Interactive
Top-Rated Instructor, 700,000+ Students
Mammoth Interactive
  • 4.2 Instructor Rating
  • 10,788 Reviews
  • 217,319 Students
  • 269 Courses

"I absolutely love this course. This is such a comprehensive course that was well worth the money I spent and a lot more. Will definitely be looking at more Mammoth Interactive courses when I finish this." – Student Matt W.

"Very good at explaining the basics then building to more complex features." – Student Kevin L.

Mammoth Interactive has been contracted to produce epic soundtracks, addicting levels, rock solid programming and business development.

John Bura
Best Selling Instructor Web/App/Game Developer 700k Students
John Bura
  • 4.3 Instructor Rating
  • 18,240 Reviews
  • 343,851 Students
  • 301 Courses

John Bura is has been a successful Udemy instructor since 2011. John Bura has been programming games since 1997 and teaching since 2002. John is the owner of the game development studio Mammoth Interactive. This company produces XBOX 360, iPhone, iPad, android, HTML 5, ad-games and more. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to the top 10 in the Apple's app store. In his spare time John likes to play ultimate Frisbee, cycle and work out.

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