Packt
Python Data Types: Understanding and Storing Data Structures in Python
In this video, we delve into the topic of data structures in Python. From academic results to online orders, everything is data that holds value and requires proper storage. Without structuring it correctly, the data can easily turn into...
Packt
Fundamentals of Neural Networks - Welcome Message
This video explains the need for taking up the course and introduces you to the author. This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the course...
Packt
Fundamentals of Neural Networks - Padding
This video explains padding in convolutional neural networks. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
Packt
Fundamentals of Neural Networks - Lab 3 - Introduction to Neural Network
This video demonstrates how to use Keras TensorFlow as API to essentially design and craft the neural network architecture. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Packt
Fundamentals of Neural Networks - Lab 2 - Introduction to CNN
This video demonstrates the architecture and how to carry out the code using TensorFlow in collab and building a convolutional neural network. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in...
Packt
Fundamentals of Neural Networks - Gradient Descent
This video explains the optimization problem using the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...
Packt
Fundamentals of Neural Networks - Cross-Entropy Loss Function
This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Packt
Fundamentals of Neural Networks - Language Processing
NLP is a tool for structuring data in a way that AI systems can process that deals with language. NLP uses AI to 'read' through a document and extract key information. This clip is from the chapter "Recurrent Neural Networks" of the...
Packt
Fundamentals of Neural Networks - Lab 1 - RNN in Text Classification
This video demonstrates how to design a recurrent neural network or RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
Packt
Fundamentals of Neural Networks - Forward Propagation in RNN
The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...
Packt
Fundamentals of Neural Networks - Backward Propagation Through Time
Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train Elman networks. The algorithm was independently derived by numerous researchers. This clip...
Curated Video
Machine Learning Random Forest with Python from Scratch - Reading and Manipulating Dataset
Previously, you learned how to read a dataset; now, we will look at manipulating the data and using a sample dataset in our code. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
Curated Video
Machine Learning Random Forest with Python from Scratch - Outliers Removal
In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
Machine Learning Random Forest with Python from Scratch - Impurity
Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
Curated Video
Machine Learning Random Forest with Python from Scratch - Best Slip
Here, we will determine the best split at any decision node where information is maximum and split into two branches, true and false. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Understanding SAS Functions
The author will explain SAS functions. What are they? What can they do? What are arguments? This clip is from the chapter "SAS Functions" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Problem Statement/Hypothesis Generation
To build a proper SAS model, we have to start by understanding the problem we are trying to solve. This clip is from the chapter "SAS Model – Predictive Modeling, Understanding the Problem and the Data" of the series "Complete SAS...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Testing (NN Implementation)
In this video, you will learn how to test our neural network. 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 - L1 and L2 Regularization
In this video, we will discuss L1 and L2 regularization. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 3
In this part, we will work on the sigmoid, backpropagation, and train functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Early Stopping
In this video, we will look at a possible solution, which is early stopping. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...
Curated Video
Azure Data Factory for Beginners - Build Data Ingestion - Modify Ingestion Pipeline to Use the Email Utility Pipeline
This video helps you modify the ingestion pipeline to use the email utility pipeline. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to...
Curated Video
Azure Data Factory for Beginners - Build Data Ingestion - Making the Email Notifications Dynamic
This video demonstrates making the email notifications dynamic. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to Metadata-Driven Ingestion
Curated Video
Azure Data Factory for Beginners - Build Data Ingestion - Making Logging of Pipeline Information Dynamic
This video shows how to make the logging of pipeline information dynamic. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to Metadata-Driven...