Artificial Intelligence in 3 Hours (Udemy.com)

Get up and running with AI in less than 3 hours

Created by: Packt Publishing

Produced in 2021

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What you will learn

  • Build your own Machine Learning classifier to predict the type of breast cancer, after creating this system, you will have an understanding of classification problems and you will help patients and doctors at the same time!
  • Develop a tool that helps sellers and marketing agencies to target their customers. After completing this project you will be ready to apply your machine learning knowledge to most unsupervised problems!
  • Discover an exciting world of Neural Networks hands-on by building a model that predicts prices of houses in the Boston area. This will give you a great introduction to regression problems and Deep Learning in general.
  • Creating your own model that is able to recognize objects on a raw image with superhuman accuracy. Here you will learn how to build state of the art models for image recognition tasks.
  • Build an Artificial Intelligence agent that solves atari games in front of you! Learn how Alpha-Go has beaten the best Go player

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Overall Score : 0 / 100

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Course Description

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real-world problems being solved with applications of intelligence (AI). This course provides you with a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
In this course, you will progress to advanced AI techniques and concepts, and work on real-life datasets on how training works, model evaluation and how to process their first dataset in Supervised and Unsupervised Learning. You will be introduced to neural networks, machine Learning, and Deep Learning. You will understand the concept of Artificial Intelligence and how it is applicable in the enterprise context. You will then cover the basics of machine learning relate how Deep Learning and AI fits with them.
Finally, you will see understand, Deep Reinforcement Learning and will be able to implement AI in your applications.
About the Author
Luka Anicin is a passionate and experienced Artificial Intelligence Engineer and he loves to share knowledge with others! In his career he had worked on many different and exciting projects where he had an opportunity to apply some of currently most advanced AI algorithms. Some project that Luka has in his portfolio: Electricity grid optimization for multiple countries, OCR for car chassis numbers, deploying chatbots for multiple customers, object detection pipeline for image search system, etc.
He is putting his knowledge and experience into one, to create courses for people interested in Data Science.Who this course is for:
  • This course will appeal to a developer, CTOs or data scientist who wants to transit their career to AI. It will also cater to any professional with a bit of programming and software engineering skills who's planning to sharpen his/her AI knowledge in the enterprise domain.

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Instructor Details

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Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.



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