Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib 3D Scatter Plots
In this video, we will cover Matplotlib 3D scatter plots. 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...
Virtually Passed
curvilinear motion intuition
The development of the n - t coordinate system paved the way for circular motion formulas and polar equations of motion formulas. In a nutshell, t is the direction tangential to your path and n is the direction towards the inside of your...
Professor Dave Explains
Practice Problem: Synthesis Challenge
We've got a target molecule to synthesize, and we have to start from benzene and other reagents of three carbons or less. How are we gonna do this? Think about the reactions you know, especially some electrophilic aromatic substitution,...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Gradient Descent
This video explains about gradient descent. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Solution (Alpha)
This is a solution video on Alpha. This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and concepts.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Module - Hyper Parameters and Concepts
This video provides an introduction to the module. This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Exercise Solution
This is an exercise solution video on gradient descent. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent
This video demonstrates about gradient descent. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Quiz (Alpha)
This is a quiz video on Alpha. This clip is from the chapter "Hyper Parameters and Concepts" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on hyper parameters and concepts.
Packt
Fundamentals of Neural Networks - Forward Propagation
This video explains forward propagation and will dive deeper into the architecture of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Curated Video
PEP8 Guidelines Python Clean Coding - PEP 8 Imports and Dunder Names
This video explains PEP 8 imports and dunder names. This clip is from the chapter "PEP 8 Code Layout" of the series "PEP8 Guidelines: Python Clean Coding".This section explains the PEP8 code layout.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization: Histograms Kdeplot
In this video, we will cover histograms Kdeplot. 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 Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Histograms
In this video, we will cover Matplotlib histograms. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib 3D Surface Plots
In this video, we will cover Matplotlib 3D surface plots. 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...
Packt
Fundamentals of Neural Networks - Purpose of Neural Networks
This video explains the purpose of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where you will learn every...
Curated Video
Fundamentals of Machine Learning - Sampling and Bootstrap
This video explains the two most famous and common procedures—cross-validation and Bootstrap. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent
In this video, we will cover DNN gradient descent. 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 Networks and Deep Learning Basics: Gradient Descent
In this video, we will cover gradient descent. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Infinite Memory Architecture Exercise
In this video, we will cover infinite memory architecture exercise. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Fixed Length Memory Model Exercise Solution Part 02
In this video, we will cover fixed length memory model exercise solution part 02. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 5
In this video, we will cover implementation in NumPy BackwardPass 5. 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 - Vanishing Gradients in RNN: Attention Model Optional
In this video, we will cover attention model optional. 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,...