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

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[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)
  • 03-Grid Search.mp4 (186.5 MB)
02-Adaboost Regressor
  • 04-Adaboost Regressor.mp4 (146.1 MB)
  • 05-Predicting Traffic Using Extremely Random Forest Regressor.mp4 (57.7 MB)
  • 06-Traffic Prediction.mp4 (139.6 MB)
03-Detecting patterns with Unsupervised Learning
  • 07-Detecting patterns with Unsupervised Learning.mp4 (127.1 MB)
  • 08-Clustering.mp4 (119.1 MB)
  • 09-Clustering Meanshift.mp4 (94.3 MB)
  • 10-Clustering Meanshift Continues.mp4 (103.5 MB)
04-Affinity Propagation Model
  • 11-Affinity Propagation Model.mp4 (127.9 MB)
  • 12-Affinity Propagation Model Continues.mp4 (80.6 MB)
05-Clustering Quality
  • 13-Clustering Quality.mp4 (118.7 MB)
  • 14-Program of Clustering Quality.mp4 (119.8 MB)
  • vz (0.0 KB)
06-Gaussian Mixture Model
  • 15-Gaussian Mixture Model.mp4 (106.4 MB)
  • 16-Program of Gaussian Mixture Model.mp4 (152.5 MB)
07-Classifiers
  • 17-Classification in Artificial Intelligence.mp4 (35.6 MB)
  • 18-Processing Data.mp4 (111.0 MB)
  • 19-Logistic Regression Classifier.mp4 (27.5 MB)
  • 20-Logistic Regression Classifier Example Using Python.mp4 (106.7 MB)
  • 21-Naive Bayes Classifier and its Examples.mp4 (213.4 MB)
  • 22-Confusion Matrix.mp4 (88.2 MB)
  • 23-Example os Confusion Matrix.mp4 (77.9 MB)
  • 24-Support Vector Machines Classifier(SVM).mp4 (72.7 MB)
  • 25-SVM Classifier Examples.mp4 (132.8 MB)
08-Logic Programming
  • 26-Concept of Logic Programming.mp4 (263.7 MB)
  • 27-Matching the Mathematical Expression.mp4 (131.3 MB)
  • 28-Parsing Family Tree and its Example.mp4 (167.0 MB)
  • 29-Analyzing Geography Logic Programming.mp4 (106.4 MB)
  • 30-Puzzle Solver and its Example.mp4 (100.9 MB)
09-Heuristic Search
  • 31-What is Heuristic Search.mp4 (155.0 MB)
  • 32-Local Search Technique.mp4 (217.3 MB)
  • 33-Constraint Satisfaction Problem.mp4 (178.0 MB)
  • 34-Region Coloring Problem.mp4 (88.7 MB)
  • 35-Building Maze.mp4 (131.6 MB)
  • 36-Puzzle Solver.mp4 (178.0 MB)
10-Natural Language Processing
  • 37-Natural Language Processing.mp4 (114.4 MB)
  • 38-Examine Text Using NLTK.mp4 (98.6 MB)
  • 39-Raw Text Accessing (Tokenization).mp4 (202.5 MB)
  • 40-NLP Pipeline and Its Example.mp4 (126.6 MB)
  • 41-Regular Expression with NLTK.mp4 (83.8 MB)
  • 42-Stemming.mp4 (119.0 MB)
  • 43-Lemmatization.mp4 (126.3 MB)
  • 44-Segmentation.mp4 (159.5 MB)
  • 45-Segmentation Example.mp4 (38.7 MB)
  • 46-Segmentation Example Continues.mp4 (46.2 MB)
  • 47-Information Extraction.mp4 (83.8 MB)
  • 48-Tag Patterns.mp4 (75.0 MB)
  • 49-Chunking.mp4 (175.8 MB)
  • 50-Representation of Chunks.mp4 (114.0 MB)
  • 51-Chinking.mp4 (150.0 MB)
  • 52-Chunking wirh Regular Expression.mp4 (163.3 MB)
  • 53-Named Entity Recognition.mp4 (133.5 MB)
  • 54-Trees.mp4 (101.8 MB)
  • 55-Context Free Grammar.mp4 (63.5 MB)
  • 56-Recursive Descent Parsing.mp4 (113.3 MB)
11-Introduction
  • 57-Recursive Descent Parsing Continues.mp4 (72.9 MB)
  • 58-Introduction to Predictive Analysis.mp4 (162.6 MB)
  • 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 (0.3 KB)
  • [TGx]Downloaded from torrentgalaxy.org.txt (0.5 KB)
  • Torrent Downloaded From GloDls.to.txt (0.1 KB)

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/





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