Artificial Intelligence Tutorial for Beginners | Artificial Intelligence Explained | Edureka

Описание к видео Artificial Intelligence Tutorial for Beginners | Artificial Intelligence Explained | Edureka

** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-progra... **
This Edureka video on "Artificial Intelligence Tutorial" will provide you with a detailed and comprehensive knowledge of Artificial Intelligence and also give you real-life examples where AI is being used and the various Job Profiles one can apply if they have the right skill.

1:05 What is Artificial Intelligence?
2:32 AI vs ML vs DL
3:20 Importance of Artificial Intelligence
7:05 Artificial Intelligence Applications
11:45 Domains of Artificial Intelligence
14:17 Different Job Profiles in AI
17:40 Companies Hiring
18:05 Object Detection : Hands ON

Deep Learning Blog: https://www.edureka.co/blog/what-is-d...
Object Detection:    • TensorFlow Object Detection | Realtim...  
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About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

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Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

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