4.45 out of 5
4.45
23 reviews on Udemy

Machine Learning Masterclass: From Beginner to Advanced

A collaboration between 8 instructors! Jump into Python, TensorFlow, PyCharm, API & CIFAR-10 for mobile developmemnt.
Instructor:
Mammoth Interactive
708 students enrolled
English [Auto-generated]
Code in multiple programming languages
Understand and expand on machine learning concepts for your own projects
Make facial fraud detection models & a stock market prediction app.
Understand data visualization, Apache Spark, SQL, NLP, Matplotlib
Design and build stunning data visualizations with D3. js.
Use Flask, a micro web framework written in Python, for web app development
Make apps for Mac with Xcode and Swift
Design apps, icons, landing pages, and animations with Sketch
Produce YouTube videos, live action gaming, marketing videos, screen captures & presentations with Camtasia
Code in C#

Do you want the biggest Udemy course ever? This course is for you!

A wildly successful Kickstarter funded this course

Apps driven by machine learning are the future of mobile app development. The amount of detail going into this course is unprecedented.

Python, Java, PyCharm, Android Studio and MNIST. Learn to code and build apps! Use machine learning models in hands-on projects.

Explore machine learning concepts. Learn how to use TensorFlow 1.4.1 to build, train,and test machine learning models. We explore Python 3.6.2 and Java 8 languages, and how to use PyCharm 2017.2.3 and Android Studio 3 to build apps.

The material is easy to follow and well constructed. The instructor covers theory and implementation, and it is deep, with real world examples.

We explains the syntax of the code with each step. We are thorough and explains how the syntax works as we shows you how to write it and what it does and how it functions.

Lessons are straight to the point, easy to follow, and perfect for people who are learning the more intermediate to advanced coding techniques. It is a great tutorial package with A HUGE library of steps.

  • Learn to code in Python and Java

  • Learn to use PyCharm and Android Studio

  • Build apps

  • Get to know TensorFlow, the open source machine learning framework for everyone

  • Explore the CIFAR-10 image dataset

  • Build an image classifier model from scratch

  • Classify images by training a model

  • Get all source files for your quick reference

  • And much more!

The pace is easy to grasp and follow. You can always speed up/slow down videos as needed. Don’t forget to watch offline anytime on the Udemy app.

Enroll now to join the Mammoth community!

Introduction to Android Studio

1
Intro and Topics List
2
Downloading and Installing Android Studio
3
Exploring Interface
4
Setting up an Emulator and Running Project
5
Code

Introduction to Java

1
Intro to Language Basics
2
Variable Types
3
Operations on Variables
4
Array and Lists
5
Array and List Operations
6
If and Switch Statements
7
While Loops
8
For Loops
9
Functions Intro
10
Parameters and Return Values
11
Classes and Objects Intro
12
Superclass and Subclasses
13
Static Variables and Axis Modifiers

Introduction to App Development

1
Intro To Android App Development
2
Building Basic UI
3
Connecting UI to Backend
4
Implementing Backend and Tidying UI

Machine Learning Concepts

1
Introduction to Machine Learning
2
PyCharm Project Files

Introduction to PyCharm

1
Introduction and Topics List
2
Downloading and Installing PyCharm and Python
3
Exploring Pycharm
4
Learning Python with Mammoth Interactive

Python Language Basics

1
Python Variables
2
Variables Operations and Conversions
3
Collection Types
4
Collections Operations
5
Control Flow If Statements
6
While and For Loops
7
Functions
8
Classes and Objects

Introduction to TensorFlow

1
Introduction to TensorFlow
2
Topics List
3
Importing Tensorflow to Pycharm
4
Constant Nodes and Sessions
5
Variable Nodes
6
Placeholder Nodes
7
Operation nodes
8
Loss, Optimizers, and Training
9
Building a Linear Regression Model
10
Source Files

Tensorflow Estimator

1
Introduction to Upcoming Topics
2
Introduction to Estimator
3
Topics List
4
Setting up Prebuilt Estimator Model
5
Evaluating and Predicting with Prebuilt Model
6
Building Custom Estimator Function
7
Testing the Custom Estimator Function
8
Summary and Model Comparison
9
Source Files

Importing Android Machine Learning Models

1
Intro and Demo
2
Topics List
3
Formatting and Saving the Model
4
Saving the Optimized Graph File
5
Starting Android Project
6
Building the UI
7
Implementing Inference Functionality
8
Testing and Error Fixing
9
Source Files

Simple MNIST

1
Intro and Demo
2
Topics List and Intro to MNIST Data
3
Building Computational Graph
4
Training and Testing the Model
5
Saving and Freezing the Graph for Android Import
6
Setting up Android Studio Project
7
Building the UI
8
Loading Digit Images
9
Formatting Image Data
10
Making Prediction Using Model
11
Displaying Results and Summary
12
Simple MNIST - Mammoth Interactive

MNIST with Estimator

1
Introduction
2
Topics List
3
Building Custom Estimator Function
4
Building Input Functions, Training, and Testing
5
Predicting Using Our Model and Model Comparisons
6
MNIST With Estimator - Mammoth Interactive

Introduction to Prediction Projects

1
Introduction to Upcoming Projects
2
Source Code

Stock Market Prediction

1
Project Demo
2
Project Overview
3
Retrieving Data via RESTful API Call
You can view and review the lecture materials indefinitely, like an on-demand channel.
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Includes

80 hours on-demand video
65 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion