Description
What you’ll learn
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Master Artificial Intelligence 2022, Machine Learning
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Deep Learning
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Natural Language Processing
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Artificial Neural Network
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Convolutional Neural Network
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Recurrent Neural Network
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Quizzes and exercises
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Understand the theory
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Build and train AI model
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Apply AI in business applications
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Build, train, deploy AI models in business
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Understand the concept of Explainable AI
Requirements
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For taking up this course you need to be enthusiastic and self confident.
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You need to have good knowledge of programming ,Master Artificial Intelligence 2022 and basic mathematical skills.
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For taking up this course you need to be enthusiastic and self confident.
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A willingness to learn and practice.
Description
- Are you ready to master Artificial Intelligence skills?
- Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.
- It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans.
- These machines are able to learn with experience and perform human-like tasks.
- As technologies such as AI continue to grow, they will have a great impact on our quality of life.
- Artificial intelligence (AI) is one of the top tech fields to be in right now!
- Financial institutions, legal institutions, media companies, and insurance companies are all figuring out ways to use artificial intelligence (ai) to their advantage.
- From fraud detection to writing news stories with natural language processing(NLP) and reviewing law briefs, AI’s reach is extensive.
- If you want to build super-powerful applications in artificial intelligence(ai).
- Then, you are at the right place.
- This course will provide you with in-depth knowledge on a very hot topic i.e., Artificial Intelligence(AI).
- The purpose of this course is to provide you with knowledge of key aspects of modern Master Artificial Intelligence 2022.
- AI without any intimidating mathematics and in a practical, easy, and fun way.
- The course provides students with practical hands-on experience using real-world datasets.
- This course will cover the following topics:-
- 1. Natural Language Processing (NLP).
- 2. Artificial Neural Network (ANN).
- 3. Convolutional Neural Network (CNN).
- 4. Recurrent Neural Network. (RCN)
- 5. Machine Learning (ML).6. Deep Learning (DL).
Reviews
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