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05:46
Statistics 101 - SPSS Statistics
07:12
Statistics 101 - All About Data
05:16
Statistics 101 - Data Visualization
04:15
Statistics 101 Course - Welcome to Statistics
01:21
Introduction to Statistics
03:16
Machine Learning - Course Summary
04:48
Machine Learning - Collaborative Filtering & Its Challenges
05:31
Machine Learning - Dimensionality Reduction - Feature Extraction & Selection
04:49
Machine Learning - Unsupervised Learning - Density Based Clustering
04:16
Machine Learning - Hierarchical Clustering
02:13
Machine Learning - Unsupervised Learning - Measuring the Distances Between Clusters
05:59
Machine Learning - Hierarchical Clustering Advantages & Disadvantages
05:06
Machine Learning - Unsupervised Learning K Means Clustering Advantages & Disadvantages
02:40
Machine Learning - Supervised Learning - Understanding Different Evaluation Models
02:19
Machine Learning - Supervised Learning Model Evaluation Overfitting & Underfitting
05:10
Machine Learning - Supervised Learning Model Evaluation
03:50
Machine Learning - Supervised Learning Regression Algorithms
01:28
Machine Learning - Supervised Learning - Advantages & Disadvantages of Decision Trees
03:37
Machine Learning - Supervised Learning - Reliability of Random Forests
03:46
Machine Learning - Supervised Learning Random Forests
06:48
Machine Learning - Supervised Learning Decision Trees
07:17
Machine Learning - Supervised Learning K Nearest Neighbors
01:42
Machine Learning - Unsupervised Learning
02:37
Machine Learning - Supervised Learning Classification
05:04
Machine Learning - Supervised VS Unsupervised Learning
04:06
Machine Learning vs Statistical Modeling
01:47
Machine Learning - Languages Types & Examples
02:22
Machine Learning - Welcome
02:18
Deep Learning with TensorFlow Course Summary
03:38
Deep Learning with Tensorflow - Deep Belief Networks
02:16
Deep Learning with Tensorflow - Autoencoders with TensorFlow
03:38
Deep Learning with Tensorflow - Autoencoder Structure
03:48
Deep Learning with Tensorflow - Introduction to Autoencoders
05:42
Deep Learning with Tensorflow - Recommendation System with a Restrictive Boltzmann Machine
09:02
Deep Learning with Tensorflow - Training a Restricted Boltzmann Machine
05:18
Deep Learning with Tensorflow - Initializing a Restricted Boltzmann Machine
05:04
Deep Learning with Tensorflow - RBMs and Autoencoders
02:16
Deep Learning with Tensorflow - Introduction to Unsupervised Learning
04:33
Deep Learning with Tensorflow - Applying Recurrent Networks to Language Modelling
05:46
Deep Learning with Tensorflow - Recursive Neural Tensor Networks
05:32
Deep Learning with Tensorflow - The Long Short Term Memory Model
03:45
Deep Learning with Tensorflow - The Recurrent Neural Network Model
02:32
Deep Learning with Tensorflow - The Sequential Problem
06:52
Deep Learning with Tensorflow - Convolutional Network with TensorFlow
04:39
Multilayer Perceptron with TensorFlow - Deep Learning with Tensorflow
04:14
Deep Learning with Tensorflow - The MNIST Database
05:40
Deep Learning with Tensorflow - Convolution with Python and TensorFlow
06:22
Deep Learning with Tensorflow - Convolution and Feature Learning
04:52
Deep Learning with Tensorflow - Introduction to Convolutional Networks
05:15
Deep Learning with Tensorflow - Activation Functions
02:52
Deep Learning with Tensorflow - Logistic Regression
04:24
Deep Learning with Tensorflow - Linear Regression with TensorFlow
03:12
Deep Learning - TensorFlow's Hello World
05:38
Deep Learning with TensorFlow - Introduction to TensorFlow
02:18
Deep Learning with TensorFlow - Welcome
03:51
Data Science Hands on with Open source Tools - Course Summary
04:46
Data Science Hands on with Open source Tools - Welcome to Data Scientist Workbench
04:00
Data Science Hands on with Open source Tools - Exporting & Cloning the Seahorse Example
04:42
Data Science Hands on with Open source Tools - Creating & Uploading Workflows
01:46
Data Science Hands on with Open source Tools - Getting started with Seahorse