[ FreeCourseWeb ] Artificial Intelligence with Python - Udemy

seeders: 0
leechers: 0
Added 5 years ago by freecoursewb in Other

Download Fast Safe Anonymous
movies, software, shows...

Files

[ FreeCourseWeb ] Artificial Intelligence with Python - Udemy (Size: 3.5 GB)
  001 Adaboost Regressor.en.srt 9.3 KB
  001 Adaboost Regressor.mp4 74.7 MB
  001 Affinity Propagation Model.en.srt 7.8 KB
  001 Affinity Propagation Model.mp4 63.1 MB
  001 Classification in Artificial Intelligence.en.srt 4.7 KB
  001 Classification in Artificial Intelligence.mp4 18.6 MB
  001 Clustering Quality.en.srt 6.8 KB
  001 Clustering Quality.mp4 61 MB
  001 Concept of Logic Programming.en.srt 15.3 KB
  001 Concept of Logic Programming.mp4 130.5 MB
  001 Dealing with Class Imbalance.en.srt 9.1 KB
  001 Dealing with Class Imbalance.mp4 76.2 MB
  001 Detecting patterns with Unsupervised Learning.en.srt 7.8 KB
  001 Detecting patterns with Unsupervised Learning.mp4 66.1 MB
  001 Gaussian Mixture Model.en.srt 6 KB
  001 Gaussian Mixture Model.mp4 54.2 MB
  001 Introduction to Predictive Analysis.en.srt 12.6 KB
  001 Introduction to Predictive Analysis.mp4 83.8 MB
  001 Natural Language Processing.en.srt 9.1 KB
  001 Natural Language Processing.mp4 62.4 MB
  001 What is Heuristic Search.en.srt 8.9 KB
  001 What is Heuristic Search.mp4 77.1 MB
  002 Affinity Propagation Model Continues.en.srt 6.4 KB
  002 Affinity Propagation Model Continues.mp4 41.3 MB
  002 Clustering.en.srt 6.2 KB
  002 Clustering.mp4 48.2 MB
  002 Examine Text Using NLTK.en.srt 6 KB
  002 Examine Text Using NLTK.mp4 54.1 MB
  002 Grid Search.en.srt 13.3 KB
  002 Grid Search.mp4 95.5 MB
  002 Local Search Technique.en.srt 13.4 KB
  002 Local Search Technique.mp4 108.3 MB
  002 Matching the Mathematical Expression.en.srt 8.7 KB
  002 Matching the Mathematical Expression.mp4 69.4 MB
  002 Predicting Traffic Using Extremely Random Forest Regressor.en.srt 2.9 KB
  002 Predicting Traffic Using Extremely Random Forest Regressor.mp4 30.1 MB
  002 Processing Data.en.srt 10.9 KB
  002 Processing Data.mp4 55.3 MB
  002 Program of Clustering Quality.en.srt 9.1 KB
  002 Program of Clustering Quality.mp4 61.1 MB
  002 Program of Gaussian Mixture Model.en.srt 10.3 KB
  002 Program of Gaussian Mixture Model.mp4 82 MB
  002 Random Forest and Extremely Random Forest.en.srt 15.2 KB
  002 Random Forest and Extremely Random Forest.mp4 101.4 MB
  003 Clustering Meanshift.en.srt 6.2 KB
  003 Clustering Meanshift.mp4 48.2 MB
  003 Constraint Satisfaction Problem.en.srt 12.1 KB
  003 Constraint Satisfaction Problem.mp4 90.1 MB
  003 Logistic Regression Classifier.en.srt 4 KB
  003 Logistic Regression Classifier.mp4 14.4 MB
  003 Parsing Family Tree and its Example.en.srt 12.3 KB
  003 Parsing Family Tree and its Example.mp4 88.4 MB
  003 Raw Text Accessing (Tokenization).en.srt 15.2 KB
  003 Raw Text Accessing (Tokenization).mp4 105 MB
  003 Traffic Prediction.en.srt 9.2 KB
  003 Traffic Prediction.mp4 76.9 MB
  003 Traffic Prediction.mp4.vtx 992.9 KB
  004 Analyzing Geography Logic Programming.en.srt 7.1 KB
  004 Analyzing Geography Logic Programming.mp4 55.5 MB
  004 Clustering Meanshift Continues.en.srt 8.9 KB
  004 Clustering Meanshift Continues.mp4 53 MB
  004 Logistic Regression Classifier Example Using Python.en.srt 8.1 KB
  004 Logistic Regression Classifier Example Using Python.mp4 55.4 MB
  004 NLP Pipeline and Its Example.en.srt 8.7 KB
  004 NLP Pipeline and Its Example.mp4 59.7 MB
  004 Region Coloring Problem.en.srt 6.5 KB
  004 Region Coloring Problem.mp4 45.1 MB
  005 Building Maze.en.srt 9.2 KB
  005 Building Maze.mp4 67.3 MB
  005 Naive Bayes Classifier and its Examples.en.srt 14.1 KB
  005 Naive Bayes Classifier and its Examples.mp4 107 MB
  005 Puzzle Solver and its Example.en.srt 7.8 KB
  005 Puzzle Solver and its Example.mp4 53.3 MB
  005 Regular Expression with NLTK.en.srt 6.2 KB
  005 Regular Expression with NLTK.mp4 39.6 MB
  006 Confusion Matrix.en.srt 5.5 KB
  006 Confusion Matrix.mp4 41.8 MB
  006 Puzzle Solver.en.srt 12.1 KB
  006 Puzzle Solver.mp4 90.2 MB
  006 Stemming.en.srt 8.3 KB
  006 Stemming.mp4 56.6 MB
  007 Example os Confusion Matrix.en.srt 7.4 KB
  007 Example os Confusion Matrix.mp4 39.2 MB
  007 Lemmatization.en.srt 7.8 KB
  007 Lemmatization.mp4 63.1 MB
  008 Segmentation.en.srt 3.9 KB
  008 Segmentation.mp4 19.2 MB
  008 Support Vector Machines Classifier(SVM).en.srt 7.2 KB
  008 Support Vector Machines Classifier(SVM).mp4 34.5 MB
  009 SVM Classifier Examples.en.srt 9.5 KB
  009 SVM Classifier Examples.mp4 71 MB
  009 Segmentation Example.en.srt 3.9 KB
  009 Segmentation Example.mp4 19.2 MB
  010 Segmentation Example Continues.en.srt 5.2 KB
  010 Segmentation Example Continues.mp4 22.5 MB
  011 Information Extraction.en.srt 13.2 KB
  011 Information Extraction.mp4 38.8 MB
  012 Tag Patterns.en.srt 4.4 KB
  012 Tag Patterns.mp4 35.7 MB
  013 Chunking.en.srt 13 KB
  013 Chunking.mp4 86.7 MB
  014 Representation of Chunks.en.srt 7.2 KB
  014 Representation of Chunks.mp4 61.6 MB
  015 Chinking.en.srt 10.7 KB
  015 Chinking.mp4 75.5 MB
  016 Chunking wirh Regular Expression.en.srt 10.1 KB
  016 Chunking wirh Regular Expression.mp4 77.2 MB
  017 Named Entity Recognition.en.srt 8.1 KB
  017 Named Entity Recognition.mp4 66.5 MB
  018 Trees.en.srt 10.1 KB
  018 Trees.mp4 47.6 MB
  019 Context Free Grammar.en.srt 4.4 KB
  019 Context Free Grammar.mp4 29 MB
  020 Recursive Descent Parsing.en.srt 8.6 KB
  020 Recursive Descent Parsing.mp4 56.5 MB
  021 Recursive Descent Parsing Continues.en.srt 9.9 KB
  021 Recursive Descent Parsing Continues.mp4 33.2 MB
  022 Shift Reduce Parsing.en.srt 13 KB
  022 Shift Reduce Parsing.mp4 64.4 MB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 121 total files

Description


Artificial Intelligence with Python - Udemy

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.5 GB | Duration: 6h 16m
This course is a comprehensive understanding of AI concepts and its application using Python and iPython
What you'll learn
Students will learn about Artificial Intelligence AI search algorithms, Heuristic Genetic algorithms, Scikit-learn module
Learn Predictive Analysis, Random Forest, Class Imbalance, Grid Search
Adaboost Regressor, Affinity Propagation Model, Clustering Quality and Gaussian Mixture Model
Applications of AI, Problem solving, AI search algorithms, Informed (Heuristic) Search, Strategies Local Search Algorithms, Learning System, Common Sense Genetic

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 first idea of artificial intelligence was given by scientist Mr. Alan Turing around the time of the second world war. He suggested building a machine that can mimic the understanding of human intelligence and act like a human. Artificial Intelligence today is used in all fields of work specifically banking, insurance, manufacturing, retail, logistics and so on. Its application in medical diagnosis, robots, remote sensing, etc. is a high state of the art. AI as a subject includes the use of computer science, mathematics, statistics and domain expertise. AI has great advantages and some of them are mentioned below:

It provides greater precision and accuracy on detection and prediction

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com

Related Torrents

torrent name size uploader age seed leech
0
0
0
0
0