Top 10 Applications Of Artificial Intelligence | Artificial Intelligence Applications | Edureka

** Machine Learning Masters Program: **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this video:
0:52 AI In Artificial Creativity
2:06 AI In Social Media
3:16 AI In Chatbots
4:29 AI In Autonomous Vehicles
6:08 AI In Space Exploration
7:06 AI In Gaming
8:43 AI In Banking & Finance
10:33 AI In Agriculture
11:53 AI In Healthcare
12:55 AI In Marketing

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About the Masters Program

Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

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Why Go for this Course?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning

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Who should go for this course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:

Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models

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