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TORRENT DETAILS

[Tutorialsplanet.NET] Udemy - Artificial Intelligence And Predictive Analysis Using Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	30a9d567842b1bc035d693fde3bbea7509a6c705
Size:	4.2 GB in 99 files
Release Date(s):	Torrent Release: 06-09-2019 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

Artificial Intelligence And Predictive Analysis Using Python

Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Artificial intelligence is a sub field of computer. It enables computers to do things which are normally done by human beings. This course is a comprehensive understanding of AI concepts and its application using Python and iPython.

The training will include the following;

What is Artificial Intelligence?
Intelligence
Applications of AI
Problem solving
AI search algorithms
Informed (Heuristic) Search Strategies
Local Search Algorithms
Learning System
Common Sense
Genetic algorithms
Expert Systems
Scikit-learn module

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FILE LIST

Filename		Size
	1. Introduction/1. Introduction to Predictive Analysis.mp4	95.4 MB
	1. Introduction/1. Introduction to Predictive Analysis.vtt	10.2 KB
	1. Introduction/1.1 Artificial Intelligence with python.zip.zip	3.8 MB
	1. Introduction/2. Random Forest and Extremely Random Forest.mp4	116.9 MB
	1. Introduction/2. Random Forest and Extremely Random Forest.vtt	12.2 KB
	10. Heuristic Search/1. What is Heuristic Search.mp4	93.5 MB
	10. Heuristic Search/1. What is Heuristic Search.vtt	7.3 KB
	10. Heuristic Search/2. Local Search Technique.mp4	132 MB
	10. Heuristic Search/2. Local Search Technique.vtt	10.9 KB
	10. Heuristic Search/3. Constraint Satisfaction Problem.mp4	105 MB
	10. Heuristic Search/3. Constraint Satisfaction Problem.vtt	9.8 KB
	10. Heuristic Search/4. Region Coloring Problem.mp4	53 MB
	10. Heuristic Search/4. Region Coloring Problem.vtt	5.3 KB
	10. Heuristic Search/5. Building Maze.mp4	77.3 MB
	10. Heuristic Search/5. Building Maze.vtt	7.7 KB
	10. Heuristic Search/6. Puzzle Solver.mp4	105.1 MB
	10. Heuristic Search/6. Puzzle Solver.vtt	9.8 KB
	11. Natural Language Processing/1. Natural Language Processing.mp4	70.6 MB
	11. Natural Language Processing/1. Natural Language Processing.vtt	7.2 KB
	11. Natural Language Processing/10. Segmentation Example Continues.mp4	27 MB
	11. Natural Language Processing/10. Segmentation Example Continues.vtt	4.6 KB
	11. Natural Language Processing/11. Information Extraction.mp4	50.6 MB
	11. Natural Language Processing/11. Information Extraction.vtt	10.6 KB
	11. Natural Language Processing/12. Tag Patterns.mp4	46.7 MB
	11. Natural Language Processing/12. Tag Patterns.vtt	3.5 KB
	11. Natural Language Processing/13. Chunking.mp4	106.1 MB
	11. Natural Language Processing/13. Chunking.vtt	10.5 KB
	11. Natural Language Processing/14. Representation of Chunks.mp4	69.7 MB
	11. Natural Language Processing/14. Representation of Chunks.vtt	5.9 KB
	11. Natural Language Processing/15. Chinking.mp4	87.9 MB
	11. Natural Language Processing/15. Chinking.vtt	8.7 KB
	11. Natural Language Processing/16. Chunking wirh Regular Expression.mp4	95.6 MB
	11. Natural Language Processing/16. Chunking wirh Regular Expression.vtt	8.5 KB
	11. Natural Language Processing/17. Named Entity Recognition.mp4	78.7 MB
	11. Natural Language Processing/17. Named Entity Recognition.vtt	7 KB
	11. Natural Language Processing/18. Trees.mp4	62.3 MB
	11. Natural Language Processing/18. Trees.vtt	8.3 KB
	11. Natural Language Processing/19. Context Free Grammar.mp4	38.3 MB
	11. Natural Language Processing/19. Context Free Grammar.vtt	3.6 KB
	11. Natural Language Processing/2. Examine Text Using NLTK.mp4	60.3 MB
	11. Natural Language Processing/2. Examine Text Using NLTK.vtt	5.1 KB
	11. Natural Language Processing/20. Recursive Descent Parsing.mp4	66.3 MB
	11. Natural Language Processing/20. Recursive Descent Parsing.vtt	7.3 KB
	11. Natural Language Processing/21. Recursive Descent Parsing Continues.mp4	42.5 MB
	11. Natural Language Processing/21. Recursive Descent Parsing Continues.vtt	8.3 KB
	11. Natural Language Processing/22. Shift Reduce Parsing.mp4	80.2 MB
	11. Natural Language Processing/22. Shift Reduce Parsing.vtt	10.7 KB
	11. Natural Language Processing/3. Raw Text Accessing (Tokenization).mp4	119 MB
	11. Natural Language Processing/3. Raw Text Accessing (Tokenization).vtt	12.5 KB
	11. Natural Language Processing/4. NLP Pipeline and Its Example.mp4	75 MB
	11. Natural Language Processing/4. NLP Pipeline and Its Example.vtt	7.2 KB
	11. Natural Language Processing/5. Regular Expression with NLTK.mp4	50.9 MB
	11. Natural Language Processing/5. Regular Expression with NLTK.vtt	5.2 KB
	11. Natural Language Processing/6. Stemming.mp4	71.5 MB
	11. Natural Language Processing/6. Stemming.vtt	6.9 KB
	11. Natural Language Processing/7. Lemmatization.mp4	76.8 MB
	11. Natural Language Processing/7. Lemmatization.vtt	6.5 KB
	11. Natural Language Processing/8. Segmentation.mp4	98.3 MB
	11. Natural Language Processing/8. Segmentation.vtt	7 KB
	11. Natural Language Processing/9. Segmentation Example.mp4	22.8 MB
	11. Natural Language Processing/9. Segmentation Example.vtt	3.1 KB
	2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.mp4	85.2 MB
	2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.vtt	7.1 KB
	2. Class Imbalance and Grid Search/2. Grid Search.mp4	110.3 MB
	2. Class Imbalance and Grid Search/2. Grid Search.vtt	10.9 KB
	3. Adaboost Regressor/1. Adaboost Regressor.mp4	86.4 MB
	3. Adaboost Regressor/1. Adaboost Regressor.vtt	7.8 KB
	3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.mp4	34.6 MB
	3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.vtt	2.4 KB
	3. Adaboost Regressor/3. Traffic Prediction.mp4	84.1 MB
	3. Adaboost Regressor/3. Traffic Prediction.vtt	7.2 KB
	4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.mp4	74.8 MB
	4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.vtt	6.5 KB
	4. Detecting patterns with Unsupervised Learning/2. Clustering.mp4	69.7 MB
	4. Detecting patterns with Unsupervised Learning/2. Clustering.vtt	7.3 KB
	4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.mp4	55.5 MB
	4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.vtt	5.1 KB
	4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.mp4	60.3 MB
	4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.vtt	7.2 KB
	5. Affinity Propagation Model/1. Affinity Propagation Model.mp4	75.8 MB
	5. Affinity Propagation Model/1. Affinity Propagation Model.vtt	6.3 KB
	5. Affinity Propagation Model/2. Affinity Propagation Model Continues.mp4	47.3 MB
	5. Affinity Propagation Model/2. Affinity Propagation Model Continues.vtt	5.2 KB
	6. Clustering Quality/1. Clustering Quality.mp4	69.9 MB
	6. Clustering Quality/1. Clustering Quality.vtt	5.5 KB
	6. Clustering Quality/2. Program of Clustering Quality.mp4	70.2 MB
	6. Clustering Quality/2. Program of Clustering Quality.vtt	7.2 KB
	7. Gaussian Mixture Model/1. Gaussian Mixture Model.mp4	62.4 MB
	7. Gaussian Mixture Model/1. Gaussian Mixture Model.vtt	4.9 KB
	7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.mp4	91.7 MB
	7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.vtt	8.6 KB
	8. Classifiers/1. Classification in Artificial Intelligence.mp4	21.2 MB
	8. Classifiers/1. Classification in Artificial Intelligence.vtt	3.8 KB
	8. Classifiers/2. Processing Data.mp4	65.2 MB
	8. Classifiers/2. Processing Data.vtt	9 KB
	8. Classifiers/3. Logistic Regression Classifier.mp4	16.6 MB
	8. Classifiers/3. Logistic Regression Classifier.vtt	3.3 KB
	8. Classifiers/4. Logistic Regression Classifier Example Using Python.mp4	61.8 MB
	8. Classifiers/4. Logistic Regression Classifier Example Using Python.vtt	6.6 KB

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