Instructional Video2:25
Curated Video

REST APIs with Flask and Python - Decorating Functions with Parameters

Higher Ed
This video shows how to use decorating functions with parameters. This clip is from the chapter "A Full Python Refresher" of the series "REST APIs with Flask and Python".This section covers the various concepts that will help refresh...
Instructional Video14:46
Curated Video

Practical Data Science using Python - Logistic Regression Introduction

Higher Ed
This video introduces you to logistic regression. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
Instructional Video13:24
Curated Video

Practical Data Science using Python - Linear Regression - Cost Functions and Gradient Descent

Higher Ed
This video explains linear regression - cost functions and gradient descent. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Instructional Video3:42
Curated Video

Deep Learning CNN Convolutional Neural Networks with Python - Training DNN Animation

Higher Ed
This video talks about training DNN animation. 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...
Instructional Video12:27
Curated Video

Deep Learning CNN Convolutional Neural Networks with Python - Rprop and Momentum

Higher Ed
This video explains Rprop and momentum. 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...
Instructional Video3:54
Curated Video

Python for Deep Learning - Build Neural Networks in Python - Feature Scaling

Higher Ed
In this video, you will learn about feature scaling. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will learn how to...
Instructional Video3:29
Curated Video

Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Parameterize Your Python Script on AWS Glue

Higher Ed
This is a lab video that helps parameterize your Python script on AWS Glue. This clip is from the chapter "Snowflake with Python, Spark, and Airflow on AWS" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This...
Instructional Video8:09
Curated Video

AWS Serverless Microservices with Patterns and Best Practices - Developing Product Lambda Microservice with DynamoDB Client - AWS SDK for JS v3

Higher Ed
This video is the continuation of the earlier part on developing product Lambda microservice with DynamoDB Client—AWS SDK for JS version 3. This clip is from the chapter "Developing Product Lambda Microservices CRUD Functions with AWS...
Instructional Video4:30
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - DNN Weights Initializations

Higher Ed
This video explains about weights initializations. 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...
Instructional Video7:01
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Stochastic Batch Minibatch

Higher Ed
This video explains about the gradient descent Stochastic Batch Minibatch. 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...
Instructional Video2:00
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - DNN Batch Normalization

Higher Ed
This video explains about batch normalization. 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 deep...
Instructional Video13:02
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Optimization

Higher Ed
In this video, we will cover optimization. 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 section, we will cover...
Instructional Video13:53
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 2

Higher Ed
In this video, we will cover machine learning model 2. 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 section, we...
Instructional Video5:36
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Types

Higher Ed
In this video, we will cover machine learning model types. 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...
Instructional Video6:51
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Training Loss

Higher Ed
In this video, we will cover machine learning model training loss. 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...
Instructional Video2:40
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Hyperparameter Tunning Exercise

Higher Ed
In this video, we will cover machine learning hyperparameter tunning 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...
Instructional Video3:53
Curated Video

Selenium WebDriver with Java - Basics to Advanced and Frameworks - How Different is Function Overriding from Overloading? Explain

Higher Ed
This video explains the difference between function overriding and overloading. This clip is from the chapter "Java Object Oriented Programming System (OOPS) Basic for Selenium Part - 1" of the series "Selenium WebDriver with Java -...
Instructional Video5:04
Curated Video

Learn Java Unit Testing with JUnit 5 in 20 Steps - Step 15 - Tip - Unit Testing for Performance

Higher Ed
JUnit 5: Step 15 - Tip - Unit Testing for Performance This clip is from the chapter "JUnit 5" of the series "Learn Java Unit Testing with JUnit 5 in 20 Steps".This section firstly introduces you to the course and gives you an overview of...
Instructional Video6:56
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Transfer Learning: Why Transfer Learning

Higher Ed
In this video, we will understand why transfer learning. 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 Video7:47
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Model Training

Higher Ed
In this video, we will cover modelling RNN model training. 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 Video10:28
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Overfitting, Underfitting, and Generalization: Generalization

Higher Ed
In this video, we will cover generalization. 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 section, we will cover...
Instructional Video11:10
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Overfitting, Underfitting and Generalization: Cross-validation

Higher Ed
In this video, we will cover cross-validation. 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 section, we will cover...
Instructional Video4:02
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Implementation Gradient Step

Higher Ed
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...
Instructional Video3:34
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Hyperparameters

Higher Ed
In this video, we will cover DNN hyperparameters. 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...