Lynda Applied Machine Learning Foundations Machine Learning Basics 08 Machine learning vs Deep learning vs Artificial intelligence mp4

Lynda Applied Machine Learning Foundations
Lynda Applied Machine Learning Foundations Machine Learning Basics 08 Machine learning vs Deep learning vs Artificial intelligence mp4

Name	[Lynda] Applied Machine Learning - Foundations	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	399.2 MB
Total Files	37
Hash	618897021FBA0EEA000F38E4EB533BDDB087A150

/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/08.Machine learning vs. Deep learning vs. Artificial intelligence.mp4	7.2 MB
/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/09.Demos of machine learning in real life.mp4	11.1 MB
/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/05.What is machine learning.mp4	6.3 MB
/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/06.What kind of problems can this help you solve.mp4	8.7 MB
/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/10.Common challenges.mp4	9.4 MB
/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/07.Why Python.mp4	12.7 MB
/[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/15.Exploring categorical features.mp4	15.9 MB
/[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/17.Categorical data cleaning.mp4	11.6 MB
/[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/19.Split data for train_validation_test set.mp4	13.6 MB
/[Lynda] Applied Machine Learning - Foundations/1.Introduction/01.Leveraging machine learning.mp4	20.1 MB
/[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/12.Exploring continuous features.mp4	25.4 MB
/[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/14.Continuous data cleaning.mp4	15.8 MB
/[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/16.Plotting categorical features.mp4	15.0 MB
/[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/25.Finding the optimal tradeoff.mp4	5.7 MB
/[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/18.Why do we split up our data.mp4	9.9 MB
Showing first 15 files of 37 total files