The Future of AI | How will Artificial Intelligence Change the World in 2020? | Edureka

This Edureka video on "Future of AI" talks about the evolution of AI over the Years. It also lists out the different inventions of AI in recent times and how it is going to change the world in the Future. Following are the Topics Covered in this Artificial Intelligence Video:
1:40 Evolution of AI
4:11 Beginning of AI Revolution
6:57 Recent AI Inventions
9:48 Future of AI

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#edureka #edurekaDatascience #artificialIntelligence #FutureofAI

About the course:

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyze Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyze data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

[kvenkatreddy]

Thank for your sharing valuable information to us.

[learning_out_loud]

Bring more such videos for AI, Thanks!

[ramsesrameez]

A.i will makes our life much easier for work ..

[rajaavikhram]

Very informative. Thanks for sharing this video.

[johnwest]

The more we allow AI into our lives, the more we become subservient to corporate power and big governments.