Curated Video
Discuss the importance of data : Dummy Variable creation in Python
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
Curated Video
Describe a function : Functions Part 2
From the section: Advanced Python. This section is about Advanced Python. Advanced Python: Functions Part 2
Packt
Create visual representations of data that models real-world phenomena or processes : A1. Activity for Data Visualization
From the section: Data Visualization. In this section you will learn about data visualization, matplotlib library, bar charts, line charts and scatter plots. There’s also an activity for data visualization. Data Visualization: A1....
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Humans vs. Computers Vision system
From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision. Computer Vision Basics: Part 1: Humans vs. Computers Vision system
Curated Video
Predictive Analytics with TensorFlow 3.2: TensorFlow Computational Graph
When thinking of execution of a TensorFlow program we should be familiar with a graph creation and a session execution. Basically the first one is for building the model and the second one is for feeding the data in and getting the...
Globalive Media
Beyond Innovation: Episode 17
Stock trading becomes a snap, quantum computers answer complex questions and wearable devices track vital signs from your ear. Plus, Michael and Anthony speak with a South African startup using AI to enhance global trade. Hosted by...
PBS
Why Are There So Few Women in Computer Science?
Today, we think of computer science as a field dominated by men, but the women have a long and important history in the field. In fact women were many of the very first computer programmers, played a hugely important part in the...
Curated Video
Predictive Analytics with TensorFlow 8.5: CNN Model for Emotion Recognition
We will first train the CNN model based on the dataset from Kaggle and then we will test that model to test a human face to predict one of the emotions. In this video, we show how to develop a CNN for emotion prediction from facial...
Curated Video
Use a real-life example of an AI system to discuss some impacts of cyber attacks : Adversarial Attacks and Their Distinctive Features
From the section: Testing Image Classification. In this section, you will design specific security tests for image recognition systems. Here you will focus on one particular type of AI solution – image classification, and one category of...
Curated Video
Call a function : String Methods
From the section: Data Operations. In this section, you will learn about the different types of operators used in Python. This section will teach you the building blocks for any kind of operations in Python. Data Operations: String Methods
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Perform non-affine image transformation on a traffic sign image
From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision. Computer Vision Basics: Part 2: [Activity] Perform non-affine image transformation on a traffic sign image
Curated Video
Predictive Analytics with TensorFlow 10.2: Factorization Machines for Recommendation Systems
We will look at two examples for developing a more robust recommendation systems using FM. We will also see FM and their applications in the cold-start recommendation problem. • Understand the factorization machines • Look at the cold...
Curated Video
Predictive Analytics with TensorFlow 8.3: Tuning CNN Hyperparameters
In this video, we will tune the CNN hyperparameters. • Tune the CNN hyperparameters
Curated Video
Predictive Analytics with TensorFlow 8.1: CNNs and the Drawbacks of Regular DNNs
CNNs are a type of feedforward neural network in which the connectivity pattern between its neurons is based on the animal visual cortex. We will also see CNN architecture and convolution operations. • Look at CNNs and drawbacks of...
Packt
Introduction to computer hardware and software : Mounting a Power Supply
From the section: Power Supplies. Here, we check our power supply, mount the power supply and learn how to cool our PC. Power supplies require careful mounting to ensure easy connections to the devices that need power. It’s also...
Packt
Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : The Current State of Defenses
From the section: Choosing the Right Defense. In this section, you will deploy the right defense methods to protect AI systems from attacks by comparing their efficiency. The aim of this video is to show how each of the defense...
Curated Video
Discuss the importance of data : The stopping criteria for controlling tree growth
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
Curated Video
Fix the errors in a computer program or algorithm : Exceptions
From the section: Errors and Exceptions Handling. In this section, you will learn about Errors and Exception handling in detail. Errors and Exceptions Handling: Exceptions
Curated Video
Implement different search algorithms : BST - Deleting nodes with 1 child node
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. Delete scenario 2 - deleting nodes with 1 child node
Curated Video
Describe a neural network : Identify Variable Importance in Neural Networks
From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary Classifications,...
Packt
Improve the accuracy of an artificial intelligence system : Exploring Hyper Parameters to Improve the Accuracy
From the section: Building a Recommender System. In this section you will build a system that recommends restaurants based on similar user’s ratings, using collaborative filtering. You will also learn about exploring hyper parameters to...
Curated Video
Describe the applications of artificial intelligence systems : Introduction
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
Brainwaves Video Anthology
Ralph Morelli - Computer Science The Challenge
Professor Morelli graduated from the University of Connecticut in 1969 with a B. A. in Mathematics. He has an M.A. and Ph.D. in Philosophy, as well as an M. S. in Computer Science from the University of Hawaii. He has been teaching at...
Curated Video
Ensemble Machine Learning Techniques 2.3: Ensemble Learning for Classification
In this video, we will use python to write a simple ensemble learning model for classification. • We will use Jupyter Notebook to execute our code • Use Iris dataset to perform classification • Use hard voting and soft voting for...