4.45 out of 5
4.45
541 reviews on Udemy

Introduction to Artificial Intelligence ( AI ) for Managers

Data Science, Machine Learning, Deep Learning & Neural Networks for Beginners with Scikit-Learn & Python
Instructor:
Kumaresan Ramanathan
1,740 students enrolled
English
Understand how AI works at a technical level. Manage machine learning and deep learning projects.
Use AI libraries like Scikit-Learn
Understand how Multi-layer Neural Networks learn features automatically
Learn about deep learning algorithms like convolutional neural networks

Do you want to learn Artificial Intelligence technology quickly?

Are you a manager, director, or VP who needs to understand how AI works at a technical level?

This fast-paced course explains the core concepts of Artificial Intelligence through engaging animations. In less than 2 hours you will be able to:

– Identify opportunities for using AI in your business

– Evaluate technical solutions

– Manage AI development projects

– Estimate resource requirements for your AI project

– Reuse pre-trained libraries to save cost

… and lead your AI project to success.

Prerequisites

You must be adept with 10th grade level high-school Math. 

This course describes AI algorithms at a technical level. You need to be able to understand step-by-step descriptions of algorithms.

Though this is a non-coding introduction, some knowledge of programming will make it easier to understand the algorithms presented.

Technology Explained in Simple Terms

You will be able to apply these algorithms in your own projects: kNN, Stochastic Gradient Descent, Regularization, Support Vector Machines, Random Forests, Classification with Sigmoids, Multi-Layer Neural Nets, Deep Learning with Convolutional Neural Networks and Recurrent Nets, and Natural Language Processing with Word-Embeddings. 

Real-world project:

You will build an AI system that detects cancer. The code is explained clearly line-by-line. No prior programming knowledge is required. This project is developed on Python with the Scikit-Learn library.

Experience:

The material in this course is built upon 15 years of my experience developing machine learning systems for industry projects.

Enroll today & accelerate your career with AI.

Technology of AI

1
Introduction
2
What is Artificial Intelligence?
3
Structure of Machine Learning Systems
4
Rating Your Experience
5
Machine Learning with Models
6
Speed Up the Learning Process
7
Preventing Underfit & Overfit
8
Classification
9
Sigmoid Models for Classification
10
Regularization - Part 1
11
Regularization - Part 2
12
Underfit & Overfit Quiz
13
Machine Learning Libraries
14
Coding with Python & Scikit Learn
15
Scikit-Learn & Python Libraries Quiz
16
Multi-Layer Neural Networks & Deep Learning - Part 1
17
Multi-Layer Neural Networks & Deep Learning - Part 2
18
Multi-Layer Learning Quiz
19
Convolutional Neural Network - Part 1
20
Convolutional Neural Network - Part 2
21
Convolutional Neural Network - Part 3
22
Recurrent Neural Networks

Managing AI Projects

1
Start From Published Papers
2
Machine Learning or Deep Learning?
3
Deep Learning Quiz
4
Build or Buy?
5
Re-use Models and Libraries
6
Word Embeddings
7
Using Embeddings for Natural Language Processing
8
Word Embeddings Quiz
9
Training with Artificial Data
10
Artificial Data Quiz
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

2 hours on-demand video
1 article
Full lifetime access
Access on mobile and TV
Certificate of Completion
Introduction to Artificial Intelligence ( AI ) for Managers
Price:
$40.98 $32

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