IDG TECHtalk
NumPy, the Python library for faster math and data science apps
The NumPy library accelerates Python's number-crunching powers, while keeping Python's ease of use and flexibility. Learn in this video the basics of NumPy's use, where it shines, and where it's less effective.
Fun Robotics
Summary and Project [Recommendation Systems and Data Analytics, Numpy Library I and II]
Summarize the class and explain the class project
Why U
Algebra 54 - Gaussian Elimination
A system of linear equations represented as an augmented matrix can be simplified through the process of Gaussian elimination to row echelon form. At that point the matrix can be converted back into equations which are simpler and easy...
Curated Video
The Complete Java Developer Course: From Beginner to Master - 2D Arrays (Side Topic)
This video explains about the 2D arrays. This clip is from the chapter "Methods" of the series "The Complete Java Developer Course: From Beginner to Master".This section explains Methods that are a set of blocks of code that resolves a...
Flipping Physics
Cross Product Torque (with a Cross Product Review)
Torque as the cross product is introduced. How to actually perform the cross product using matrices is reviewed and 4.5 examples are walked through. This is an AP Physics C: Mechanics topic. Content Times: 0:00 Torque Review 0:55 Cross...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Implementation Gradient Step
In this video, we will cover DNN implementation gradient step. 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...
Curated Video
AWS Cloud Development Kit - From Beginner to Professional - CloudWatch Live Dashboards and Widgets
This video explains CloudWatch live dashboards and widgets. This clip is from the chapter "Create and Deploy Serverless Application Resources" of the series "AWS Cloud Development Kit - From Beginner to Professional".In this section, you...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: Slicing-Part 2
In this video, we will cover slicing-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 Projects) A to Z".In this...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 3
This is third of the five-part video on implementation in NumPy BackwardPass. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required
This video explains why activation function is required in DNN. 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Gradient Step
This video explains about the implementation of the gradient step. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Why Activation Function Is Required
In this video, we will understand why activation function is required. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 3
In this video, we will cover language modelling next word prediction Python 3. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Python for Data Science: NumPy Pandas and Matplotlib (Part 2)
In this video, we will cover NumPy Pandas and Matplotlib (part 2).
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: RGB Images
In this video, we will cover RGB images. 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 - Gradient Descent in RNN: Why Gradients
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations Exercise
In this video, we will cover equations 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 this section, we will...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 3
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Seaborn for Data Visualization: Seaborn Heatmaps
In this video, we will cover Seaborn Heatmaps. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Positive Semi Definite Matrix
In this video, we will cover a positive semi definite matrix. 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 - Mathematical Foundation: Lagrange Multipliers
In this video, we will cover Lagrange Multipliers. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Introduction to Mathematical Foundation of Feature Selection
In this video, we will cover an introduction to mathematical foundation of feature selection. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...