Introduction to AI, Machine Learning and Python basics
4.2 (46 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,986 students enrolled

Introduction to AI, Machine Learning and Python basics

Learn to understand Artificial Intelligence and Machine Learning algorithms, and learn the basics of Python Programming
New
4.2 (46 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,986 students enrolled
Created by Timur Kazantsev
Last updated 6/2020
English
English [Auto-generated]
Current price: $20.99 Original price: $29.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 2.5 hours on-demand video
  • 9 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Learn to understand between Machine Learning, Deep learning and Artificial Intelligence
  • Learn where AI and Machine learning algorithms are used today
  • Learn basics of Python programming
  • Build simplest Machine Learning models in Excel
  • Predict and build Machine Learning models in Python
  • Create your own Neural Network to classify images
Course content
Expand all 19 lectures 02:23:21
+ Introduction
2 lectures 15:54
History of Artificial Intelligence
11:28
+ Main Concepts and Algorithms in Machine Learning
9 lectures 47:09
Difference between AI, Machine learning and Deep Learning
13:29
Supervised vs Unsupervised Machine Learning
08:40
Linear Regression. How to predict flat prices in Excel
05:29
Classification problems in Machine learning
04:14
Clustering problems in Machine learning
03:59
Ensemble methods
03:57
Majority voting and Averaging in Ensembling
02:13
Bagging and Boosting
02:47
Random Forests
02:21
+ Python programming 101
4 lectures 24:35
Python setup. Anaconda distributive.
04:05
Basic commands in Python
07:08
If - Else statement
06:20
While statement
07:02
+ Python for Machine Learning and Neural Networks
4 lectures 55:43
Predicting country's GDP based on oil prices
06:28
Predicting survivors from Titanic: Classification problem using SVM algorithm
13:16
Neural Networks - Create your Own Neural Network to Classify Images
21:58
Requirements
  • There are no requirements to pass this course
Description

Artificial Intelligence has already become an indispensable part of our everyday life, whether when we browse the Internet, shop online, watch videos and images on social networks, and even when we drive a car or use our smartphones. AI is widely used in medicine, sales forecasting, space industry and construction.

Since we are surrounded by AI technologies everywhere, we need to understand how these technologies work. And for such understanding at a basic level, it is not necessary to have a technical or IT education.

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In this course, you will learn about the fundamental concepts of Artificial Intelligence and Machine learning. You will get acquainted with their main types, algorithms and models that are used to solve completely different problems. We will even create models together to solve specific practical examples in Excel - for those who do not want to program anything. And for those who want to get acquainted with Python , a programming language that solves more than 53% of all machine learning tasks today, in this course you will find lectures to familiarize yourself with the basics of programming in this language.

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This course may become a kind of springboard for your career development in the field of AI and Machine learning. Having mastered this short course, you will be able to choose the particular area in which you would like to develop and work further. It is worth mentioning that today, AI and Machine Learning specialists are among the highest paid and sought after on the market (according to various estimates, there are about 300,000 AI experts on the global market today, while the demand for them is several million).

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So why not reinforce your resume with a certificate from Udemy, the largest international educational platform , that you have completed this course on Artificial Intelligence and Machine Learning, and the basics of Python programming .

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After completing this course, you will be able to communicate freely on topics related to Artificial Intelligence, machine and deep learning, and neural networks. You will be able to analyze and visualize data, use algorithms to solve problems from different areas.

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This course will be regularly supplemented with new lectures and after enrolling in it you will have full access to all materials without any restrictions. Spend a few hours studying this course to get new or improve existing skills and broaden your horizons using the acquired knowledge.

See you inside the course!

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Who this course is for:
  • Beginner learners of AI and Machine learning
  • Beginner Python enthusiasts interested in Machine learning