Instructional Video8:25
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Pandas Practice-Using COVID19 Data - Part 2

Higher Ed
In this video, we will cover Pandas practice-using COVID19 data -part 2. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...
Instructional Video3:28
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Group by Solution

Higher Ed
In this video, we will cover Pandas group by solution. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Instructional Video6:49
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas DateTime

Higher Ed
In this video, we will cover Pandas DateTime. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video9:04
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Hierarchical Indexing

Higher Ed
In this video, we will cover hierarchical indexing. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Instructional Video7:46
Instructional Video9:04
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: HOG Features

Higher Ed
In this video, we will cover HOG features. 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 Z".In this section, we will...
Instructional Video8:56
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction - Deep learning: Recurrent Neural Networks with Python

Higher Ed
In this video, we will cover a quick introduction to this section. 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...
Instructional Video2:50
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients Solution

Higher Ed
In this video, we will understand why gradients solution. 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...
Instructional Video6:07
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients

Higher Ed
In this video, we will understand why gradients. 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...
Instructional Video5:58
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule in Action

Higher Ed
In this video, we will cover chain rules in action. 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...
Instructional Video7:29
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule

Higher Ed
In this video, we will cover chain rules. 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 cover...
Instructional Video12:21
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 4

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 4. 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...
Instructional Video9:08
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 3

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 3. 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...
Instructional Video4:37
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 2

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 2. 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...
Instructional Video6:48
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 1

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 1. 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...
Instructional Video8:20
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Gradients of Convolutional Layer

Higher Ed
In this video, we will cover gradients of convolutional layer. 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 Z".In...
Instructional Video9:01
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Extending to Multiple Filters

Higher Ed
In this video, we will cover extending to multiple filters. 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 Z".In this...
Instructional Video26:15
Curated Video

Play It Out: Healthy Dating Relationships (Head Over Heels? How To Keep Your Balance. )

K - 8th
Just by nature, humans are social creatures. We develop and maintain many different kinds of relationships. Healthy relationships are an important part of our lives. This program explores the characteristics of a healthy dating...
Instructional Video8:51
Intelligence Squared

Does Islam fail women?

Higher Ed
The panel answer questions from the audience. The debate "Europe is failing its Muslims" took place on February 23rd at Cadogan Hall in London. IQ2 Debate: "Europe is failing its Muslims" - Audience Q&A2. (5 of 6)
Instructional Video8:35
Catalyst University

The Pressure-Dependence of Free Energy

Higher Ed
The Pressure-Dependence of Free Energy
Instructional Video3:13
Seven Dimensions

Effective Communication in the Workplace

Higher Ed
This video discusses the importance of open and transparent communication within a company to avoid gossip and negativity. The overall message emphasizes the benefits of clear communication in fostering collaboration and problem-solving...
Instructional Video11:03
Seven Dimensions

Understanding the Importance of Governance and Board Relationships

Higher Ed
In this video, the speaker discusses the importance of governance and the role of the board in ensuring compliance and accountability. They highlight the need for a diverse and supportive board, as well as the value of board members...
Instructional Video15:18
Seven Dimensions

Culture and Oneness

Higher Ed
Lead so your people are united in their work, says Maria Deveson-Crabbe: - Creating an enabling environment - Developing a strong leadership team - Uniting people and resolving problems - Measuring engagement - Being an employer of choice
Instructional Video9:56
Encyclopaedia Britannica

Despotism

Pre-K - Higher Ed
Despotism, a 1946 production of Encyclopaedia Britannica Films.