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[FreeTutorials.Eu] [UDEMY] Artificial Intelligence and Predictive Analysis using Python - [FTU]

[FreeTutorials.Eu] [UDEMY] Artificial Intelligence and Predictive Analysis using Python - [FTU]

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Files
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Description




This course is a comprehensive understanding of AI concepts and its application using Python and iPython.



Created by: EDU CBA

Last updated: 12/2018

Language: English

Torrent Contains: 66 Files, 12 Folders

Course Source: https://www.udemy.com/artificial-intelligence-with-python/



What you'll learn



• Learn What is Artificial Intelligence, Intelligence and Applications of AI.

• Learn Problem solving using AI, AI search algorithms, Informed (Heuristic) Search Strategies.

• Learn Local Search Algorithms, Learning System, and Common Sense

• Learn Genetic algorithms, Expert Systems, and Scikit-learn module



Requirements



• Basic knowledge of Python

• Beginner knowledge of Statistics



Description



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



Who this course is for:



• Students and professionals who are interested in learning robotics and bio metrics.

• People who are very keen about learning Artificial Intelligence.



For More Udemy Free Courses >>> http://www.freetutorials.eu

For more Lynda and other Courses >>> https://www.freecoursesonline.me/

Our Forum for discussion >>> https://discuss.freetutorials.eu/








File list
  • [FreeTutorials.Eu] [UDEMY] Artificial Intelligence and Predictive Analysis using Python - [FTU]
  • 00-Intro/01-Random Forest and Extremely Random Forest.mp4 198.8 MB
  • 01-Class Imbalance and Grid Search/02-Dealing with Class Imbalance.mp4 143.4 MB
  • 01-Class Imbalance and Grid Search/03-Grid Search.mp4 186.5 MB
  • 02-Adaboost Regressor/04-Adaboost Regressor.mp4 146.1 MB
  • 02-Adaboost Regressor/05-Predicting Traffic Using Extremely Random Forest Regressor.mp4 57.7 MB
  • 02-Adaboost Regressor/06-Traffic Prediction.mp4 139.6 MB
  • 03-Detecting patterns with Unsupervised Learning/07-Detecting patterns with Unsupervised Learning.mp4 127.1 MB
  • 03-Detecting patterns with Unsupervised Learning/08-Clustering.mp4 119.1 MB
  • 03-Detecting patterns with Unsupervised Learning/09-Clustering Meanshift.mp4 94.3 MB
  • 03-Detecting patterns with Unsupervised Learning/10-Clustering Meanshift Continues.mp4 103.5 MB
  • 04-Affinity Propagation Model/11-Affinity Propagation Model.mp4 127.9 MB
  • 04-Affinity Propagation Model/12-Affinity Propagation Model Continues.mp4 80.6 MB
  • 05-Clustering Quality/13-Clustering Quality.mp4 118.7 MB
  • 05-Clustering Quality/14-Program of Clustering Quality.mp4 119.8 MB
  • 05-Clustering Quality/vz 0 B
  • 06-Gaussian Mixture Model/15-Gaussian Mixture Model.mp4 106.4 MB
  • 06-Gaussian Mixture Model/16-Program of Gaussian Mixture Model.mp4 152.5 MB
  • 07-Classifiers/17-Classification in Artificial Intelligence.mp4 35.6 MB
  • 07-Classifiers/18-Processing Data.mp4 111 MB
  • 07-Classifiers/19-Logistic Regression Classifier.mp4 27.5 MB
  • 07-Classifiers/20-Logistic Regression Classifier Example Using Python.mp4 106.7 MB
  • 07-Classifiers/21-Naive Bayes Classifier and its Examples.mp4 213.4 MB
  • 07-Classifiers/22-Confusion Matrix.mp4 88.2 MB
  • 07-Classifiers/23-Example os Confusion Matrix.mp4 77.9 MB
  • 07-Classifiers/24-Support Vector Machines Classifier(SVM).mp4 72.7 MB
  • 07-Classifiers/25-SVM Classifier Examples.mp4 132.8 MB
  • 08-Logic Programming/26-Concept of Logic Programming.mp4 263.7 MB
  • 08-Logic Programming/27-Matching the Mathematical Expression.mp4 131.3 MB
  • 08-Logic Programming/28-Parsing Family Tree and its Example.mp4 167 MB
  • 08-Logic Programming/29-Analyzing Geography Logic Programming.mp4 106.4 MB
  • 08-Logic Programming/30-Puzzle Solver and its Example.mp4 100.9 MB
  • 09-Heuristic Search/31-What is Heuristic Search.mp4 155 MB
  • 09-Heuristic Search/32-Local Search Technique.mp4 217.3 MB
  • 09-Heuristic Search/33-Constraint Satisfaction Problem.mp4 178 MB
  • 09-Heuristic Search/34-Region Coloring Problem.mp4 88.7 MB
  • 09-Heuristic Search/35-Building Maze.mp4 131.6 MB
  • 09-Heuristic Search/36-Puzzle Solver.mp4 178 MB
  • 10-Natural Language Processing/37-Natural Language Processing.mp4 114.4 MB
  • 10-Natural Language Processing/38-Examine Text Using NLTK.mp4 98.6 MB
  • 10-Natural Language Processing/39-Raw Text Accessing (Tokenization).mp4 202.5 MB
  • 10-Natural Language Processing/40-NLP Pipeline and Its Example.mp4 126.6 MB
  • 10-Natural Language Processing/41-Regular Expression with NLTK.mp4 83.8 MB
  • 10-Natural Language Processing/42-Stemming.mp4 119 MB
  • 10-Natural Language Processing/43-Lemmatization.mp4 126.3 MB
  • 10-Natural Language Processing/44-Segmentation.mp4 159.5 MB
  • 10-Natural Language Processing/45-Segmentation Example.mp4 38.7 MB
  • 10-Natural Language Processing/46-Segmentation Example Continues.mp4 46.2 MB
  • 10-Natural Language Processing/47-Information Extraction.mp4 83.8 MB
  • 10-Natural Language Processing/48-Tag Patterns.mp4 75 MB
  • 10-Natural Language Processing/49-Chunking.mp4 175.8 MB
  • 10-Natural Language Processing/50-Representation of Chunks.mp4 114 MB
  • 10-Natural Language Processing/51-Chinking.mp4 150 MB
  • 10-Natural Language Processing/52-Chunking wirh Regular Expression.mp4 163.3 MB
  • 10-Natural Language Processing/53-Named Entity Recognition.mp4 133.5 MB
  • 10-Natural Language Processing/54-Trees.mp4 101.8 MB
  • 10-Natural Language Processing/55-Context Free Grammar.mp4 63.5 MB
  • 10-Natural Language Processing/56-Recursive Descent Parsing.mp4 113.3 MB
  • 11-Introduction/57-Recursive Descent Parsing Continues.mp4 72.9 MB
  • 11-Introduction/58-Introduction to Predictive Analysis.mp4 162.6 MB
  • 11-Introduction/59-Shift Reduce Parsing.mp4 134.7 MB
  • Discuss.FreeTutorials.Us.html 165.7 KB
  • FreeCoursesOnline.Me.html 108.3 KB
  • FreeTutorials.Eu.html 102.2 KB
  • How you can help Team-FTU.txt 259 B

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