Artificial Intelligence Complete Program | Artificial Intelligence Tutorial for Novices | Edureka

🔥 Machine Learning Engineer Masters Application (Use Code “”): https://www.edureka.co/masters-plan/equipment-mastering-engineer-teaching
This Edureka online video on “Artificial Intelligence” will give you with a complete and in depth understanding of Artificial Intelligence principles with palms-on illustrations.

Next subjects are included in this video clip:
00:00 Introduction
02:27 Heritage Of AI
06:45 Demand For AI
08:46 What Is Artificial Intelligence?
09:50 AI Apps
16:49 Sorts Of AI
20:24 Programming Languages For AI
27:12 Introduction To Machine Learning
28:08 Need For Machine Learning
31:48 What Is Machine Learning?
34:13 Machine Learning Definitions
37:26 Machine Learning Approach
49:13 Varieties Of Machine Learning
49:21 Supervised Learning
52:00 Unsupervised Learning
53:44 Reinforcement Learning
55:29 Supervised vs Unsupervised vs Reinforcement Learning
58:23 Sorts Of Troubles Solved Utilizing Machine Learning
1:04:49 Supervised Learning Algorithms
1:05:17 Linear Regression
1:11:20 Linear Regression Demo
1:26:36 Logistic Regression
1:35:36 Conclusion Tree
1:55:18 Random Forest
2:07:31 Naive Bayes
2:14:37 K Closest Neighbour (KNN)
2:20:31 Assistance Vector Equipment (SVM)
2:26:40 Demo (Classification Algorithms)
2:42:36 Unsupervised Learning Algorithms
2:42:45 K-usually means Clustering
2:50:49 Demo (Unsupervised Learning)
2:56:40 Reinforcement Learning
3:24:36 Demo (Reinforcement Learning)
3:31:41 AI vs Machine Learning vs Deep Discovering
3:33:08 Constraints Of Machine Learning
3:36:32 Introduction To Deep Understanding
3:38:36 How Deep Studying Operates?
3:40:48 What Is Deep Finding out?
3:41:50 Deep Studying Use Circumstance
3:43:14 Single Layer Perceptron
3:50:56 Multi Layer Perceptron (ANN)
3:52:55 Backpropagation
3:54:39 Education A Neural Network
4:01:02 Limits Of Feed Ahead Network
4:03:18 Recurrent Neural Networks
4:05:36 Convolutional Neural Networks
4:09:00 Demo (Deep Mastering)
4:29:02 Natural Language Processing
4:30:53 What Is Text Mining?
4:32:43 What Is NLP?
4:33:26 Purposes Of NLP
4:35:53 Terminologies In NLP
4:41:19 NLP Demo
4:47:21 Machine Learning Masters Application

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Python Total System: https://www.youtube.com/look at?v=WGJJIrtnfpk
Studies and Chance Tutorial: https://www.youtube.com/enjoy?v=XcLO4f1i4Yo

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🔵Python Certification Schooling for Information Science: http://little bit.ly/2Gj6fux

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🔵Data Scientist Masters Software: http://bit.ly/2t1snGM
🔵Machine Mastering Engineer Masters Method: https://little bit.ly/3Hello1sXN

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🌕Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
NIT Warangal: https://bit.ly/3qdRRdw

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About the Masters Program

Edureka’s Machine Learning Engineer Masters Plan would make you proficient in procedures like Supervised Learning, Unsupervised Learning and Natural Language Processing. It contains training on the most up-to-date enhancements and complex strategies in Artificial Intelligence & Machine Learning this kind of as Deep Mastering, Graphical Styles and Reinforcement Learning.

The Master’s Program Covers Matters LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Stream
Deep studying
Keras
Neural Networks
Bayesian and Markov’s Designs
Inference
Decision Generating
Bandit Algorithms
Bellman Equation
Coverage Gradient Approaches.

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Conditions

There are no conditions for enrolment to the Masters Application. On the other hand, as a goodwill gesture, Edureka gives a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Techniques. This method is developed and designed for an aspirant arranging to make a occupation in Machine Learning or an expert professional doing the job in the IT market.

Please write back to us at income@edureka.in or get in touch with us at IND: 9606058406 / US: 18338555775 (toll-totally free) for a lot more information