Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Basics of Feed Forward
In this video, you will learn about the basics of Feed Forward. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Neural Network Architecture
In this video, you will learn about neural network architecture. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Layers and DEEP Networks
In this video, you will learn about layers and DEEP networks. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: The Activation Function
In this video, we will cover the activation function. 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,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Calculating Number of Weights of DNN
In this video, we will cover calculating number of weights of DNN. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: Convolution and Pooling Details
In this video, we will cover convolution and pooling details. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: CNN Example
In this video, we will cover CNN example. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Bias Term
In this video, we will cover Bias Term. 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 will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Weight Sharing
In this video, we will cover weight sharing. 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 - Gradient Descent in RNN: Equations
In this video, we will cover equations. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Gradients of MaxPooling Layer
In this video, we will cover gradients of MaxPooling 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 this...
The Business Professor
Marketing - What Distorts the Results of Marketing Research
This Video Explains Marketing - What Distorts the Results of Marketing Research
Curated Video
Statistics for Data Science and Business Analysis - Working with Estimators and Estimates
This video explores the estimators and estimates, and differentiates between the two concepts. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
History Hit
George Orwell's 1984 with Dorian Lynskey: The ongoing relevance of 1984 and beyond
Why is 1984 one of the most important novels of the 20th century? What would Orwell advise in the face of fake news? Do you think George Orwell would be surprised at 1984's ongoing relevance? George Orwell's 1984 with Dorian Lynskey, Part 3
After Skool
The Dunning-Kruger Effect - Cognitive Bias - Why Incompetent People Think They Are Competent
In the field of psychology, the Dunning–Kruger effect is a cognitive bias in which people mistakenly assess their cognitive ability as greater than it is. It is related to the cognitive bias of illusory superiority and comes from the...
The Wall Street Journal
Peloton, Intel And Cushman & Wakefield On The Role Of The CIO
Peloton, Intel and Cushman & Wakefield CIOs describe how they're managing through the economic expansion - and continued uncertainty over the coronavirus.
Brainwaves Video Anthology
Minal Bopaiah Equity: How to Design Organizations Where Everyone Thrives
Minal Bopaiah is author, speaker, and strategist committed to designing a more equitable world. With degrees in English, psychology, and organizational development, and a lifelong passion for diversity and inclusion, She has spent her...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Single Neuron Perceptron Model
From the section: Artificial Neural Networks. In this section, we’ll learn about ANN. Artificial Neural Networks: Single Neuron Perceptron Model
Curated Video
Statistics for Data Science and Business Analysis - A2. No Endogeneity
In this video, the second assumption of OLS, no endogeneity, is explained. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains...
Curated Video
Avoiding Bias in Statistical Research
This video provides a lesson on how to conduct a statistical investigation without bias. It describes different types of bias, such as selection bias and response bias, and their implications for research conclusions. The video also...
KnowMo
Types of Data and Sampling in Statistics
This video provides an overview of different types of data and sampling methods for data collection in statistics. The speaker identifies two key types of data - quantitative and qualitative - and explains their subcategories such as...
Packt
Introduction to computer hardware and software : POST
From the section: Firmware. In this section, we learn about BIOS, POST and system setup. The Power On Self-Test takes place every time a system starts. POST checks the system and communicates any problems it finds to the user.
Neuro Transmissions
Neuroscientists You Should Know: Ben Barres
How many neuroscientists can you name off the top of your head? In this special episode of Neuro Transmissions, weêre taking a moment to talk about a very awesome neuroscientist. Dr. Ben Barres is a brilliant researcher and a champion...
Curated Video
The Illusion of Truth Effect: Understanding Cognitive Biases
In this video, the illusion of truth effect is explored, which is a cognitive bias that causes people to believe information is true simply because they have been exposed to it multiple times. The video provides examples of common...