Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Max Variance Formulation
In this video, we will cover PCA Max Variance Formulation. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Feature Dimensionality Reduction Methods
In this video, we will cover feature dimensionality reduction methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Supervised PCA and Fishers Linear Discriminant Analysis Activity
In this video, we will cover Supervised PCA and Fishers linear discriminant analysis activity. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: Nonvectorized Implementations of Conv2d and Pool2d
In this video, we will cover nonvectorized implementations of Conv2d and Pool2d. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Perceptron Exercise
In this video, we will cover Perceptron exercise. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture Activity
In this video, we will cover deep neural network architecture activity. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Machine Translation
In this video, we will cover machine translation. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): When to Model RNN
In this video, we will cover when to model RNN. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Dimensionality Reduction: The Principal Component Analysis (PCA)
In this video, we will cover Principal Component Analysis (PCA). This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Speech Recognition
In this video, we will cover speech recognition. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Solution 01
In this video, we will cover ManyToMany model solution 01. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: MLE
In this video, we will cover MLE.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Loglikelihood
In this video, we will cover Loglikelihood.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Logistic Regression
In this video, we will cover logistic regression.
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Building Programming Logic to Process Items in an Array for Cart
This video explains how to build programming logic to process items in an array for a cart. This clip is from the chapter "Deep Dive into Functional Testing with Selenium" of the series "Selenium WebDriver with Java - Basics to Advanced...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Rank
In this video, we will cover Rank. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Problem - Adding Items into Cart for Ecommerce Application
This video presents a problem related to adding items into a cart for an ecommerce application. This clip is from the chapter "Deep Dive into Functional Testing with Selenium" of the series "Selenium WebDriver with Java - Basics to...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Practice Exercises on Tables - 1
This video presents the first part of practice exercises on tables. This clip is from the chapter "Practical Problems and Methods to Handle them with Selenium" of the series "Selenium WebDriver with Java - Basics to Advanced and...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Iterating Over All Links in the Page to Validate Broken Links Mechanism
This video explains how to iterate over all links in the page to validate the broken links mechanism. This clip is from the chapter "Miscellaneous Topics in Selenium WebDriver" of the series "Selenium WebDriver with Java - Basics to...
Amor Sciendi
Il Duomo Explained | The Florence Cathedral | AmorSciendi
The city of Florence set a goal so ambitious that they needed to transform their city in order to accomplish it. This is the story of the Florence Cathedral, Santa Maria del Fiore.
Packt
Building Programming Logic to Process Items in an Array for Cart
This video explains how to build programming logic to process items in an array for a cart. This clip is from the chapter "Deep Dive into Functional Testing with Selenium" of the series "Selenium WebDriver with Java - Basics to Advanced...
National Parks Service
Saving Yosemite's Frogs
Can we save the Sierra Nevada yellow-legged frog from extinction? Human introduced non-native species (fish and fungus) have been causing the frog to go from the most abundant amphibian in the Sierra Nevada to critically endangered....
Next Animation Studio
Subsurface heat adding to climate change in melting
Climate change is not the only factor melting the Thwaites Glacier, the Earth itself may also be warming the massive block of Antarctic ice colloquially known as the ‘Doomsday Glacier.’
Brainwaves Video Anthology
Esther Wojcicki - Empowering Students
Esther Wojcicki, the head of Palo Alto High School’s journalism program and a distinguished visiting scholar at Stanford’s MediaX, speaks about the need for educators to empower their students by allowing them to lead, show what they can...