Udemy - Artificial intelligence and Machine learning course

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.4 GB
  • Uploaded Byfreecoursewb
  • Downloads56
  • Last checkedNov. 19th '21
  • Date uploadedNov. 17th '21
  • Seeders 3
  • Leechers10

Infohash : 14C726F6AE27F72FC67B0067B12DE1EE98D4199C

Artificial intelligence and Machine learning course



https://CourseWikia.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 13 lectures (3h 28m) | Size: 1.3 GB
Learn Artificial intelligence (AI) and train computer, human intelligence processes through application of algorithms
What you'll learn:
What id Artificial intelligence
What is Machine learning
What is Neural Network
Who to build program for predictive modelling

Requirements
Basics of Object Oriented Programming
Basics of Business Intelligence
Basics of Python

Description
Artificial intelligence (AI) is the basis for mimicking human intelligence processes through the creation and application of algorithms built into a dynamic computing environment. Stated simply, AI is trying to make computers think and act like humans.

Achieving this end requires three key components:

Files:

[ CourseWikia.com ] Udemy - Artificial intelligence and Machine learning course
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here !
    • 1. Introduction to Artificial Intelligence & Machine Learning.mp4 (65.0 MB)
    • 1. Introduction to Artificial Intelligence & Machine Learning.srt (11.0 KB)
    • 10. Deep dive into Neural Networks.mp4 (94.1 MB)
    • 10. Deep dive into Neural Networks.srt (13.3 KB)
    • 11. Convolutional Neural Network (CNN).mp4 (190.2 MB)
    • 11. Convolutional Neural Network (CNN).srt (23.3 KB)
    • 12. Retrain data to create classifier using Google inception model.mp4 (44.0 MB)
    • 12. Retrain data to create classifier using Google inception model.srt (4.8 KB)
    • 13. Recurrent Neural Networks (RNN).mp4 (124.9 MB)
    • 13. Recurrent Neural Networks (RNN).srt (16.0 KB)
    • 2. Exploring Python Pandas, Uploading Flat file data and perform operations.mp4 (199.3 MB)
    • 2. Exploring Python Pandas, Uploading Flat file data and perform operations.srt (33.8 KB)
    • 3. Usage of Pandas, Numpy and Matplotlib for Exploring numerical data.mp4 (41.6 MB)
    • 3. Usage of Pandas, Numpy and Matplotlib for Exploring numerical data.srt (12.7 KB)
    • 4. Understanding Linear Regression.mp4 (160.5 MB)
    • 4. Understanding Linear Regression.srt (27.6 KB)
    • 5. Understanding Logistic Regression.mp4 (45.6 MB)
    • 5. Understanding Logistic Regression.srt (5.7 KB)
    • 6. Principal Component Analysis (PCA) and K Means Clustering.mp4 (149.1 MB)
    • 6. Principal Component Analysis (PCA) and K Means Clustering.srt (24.8 KB)
    • 7. Understanding Decision Tree Algorithm.mp4 (127.9 MB)
    • 7. Understanding Decision Tree Algorithm.srt (15.0 KB)
    • 8. Basics of Tensor Flow.mp4 (125.5 MB)
    • 8. Basics of Tensor Flow.srt (18.9 KB)
    • 9. Introduction to MNIST Dataset.mp4 (34.8 MB)
    • 9. Introduction to MNIST Dataset.srt (4.6 KB)
    • Bonus Resources.txt (0.3 KB)

Code:

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