APMonitor
Python Nonlinear Equations with Scipy fsolve
The Scipy optimization package FSOLVE is demonstrated on two introductory problems with 1 and 2 variables.
Programming Electronics Academy
Array Basics Part Two: Arduino Course 7.3
An introduction to using arrays in programming.
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:...
IDG TECHtalk
Using low code platforms to learn development skills
Low code and no code platforms are valuable IT tools. They make it easy for employees outside of the IT team to develop apps that simplify business processes. And in some cases, they can aid in the transition from amateur developer or...
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...
Packt
Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Comparing Defence Approaches and Choosing the Best Defence
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 provide guidance on choosing the best...
Packt
Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : Testing Practical Defence from Modified Input Category
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 a practical example of defense...
Curated Video
Evaluate visual representations of data that models real-world phenomena or processes : Visualizing Word Embedding Using TensorBoard Projector
From the section: NLP Visualization and Model Experimentation. Visualize text data and view data embeddings. View and track hyperparameter tuning and display training configurations to run reproducible experiments. Let’s demonstrate...
Curated Video
Describe computer programming : Control Flow
From the section: Common Coding Concepts.This section will cover common coding concepts such as Scratch setup, bugs, pseudocode, decomposition, commenting and many more. Common Coding Concepts: Control Flow
Curated Video
Describe computer programming : Working with Strings
From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them. This video will introduce you to single-quote and multiple-quote strings. •...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Histogram of Oriented Gradients (HOG)
From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision. Computer Vision Basics: Part 3: Histogram of Oriented Gradients (HOG)
Curated Video
Compare different types of data structures : Binary Indexed Trees
From the section: Tree-Based Data Structures. In this section, we will go over a few robust tree-based data structures, that are indispensable for efficiently solving various query-related problems. In this video, we introduce another...
APMonitor
Python for Beginners with Spyder IDE
This introduction includes information about naming variables, built-in constants, reserved keywords, built-in functions, syntax highlighting, data types (integer, float, list, tuple, dictionary), and basic commands to built a first...
Programming Electronics Academy
What is a Code Library?: Arduino Course 6.1
A description of a code library in Arduino programming.
Curated Video
Use a real-life example of an AI system to discuss some impacts of cyber attacks : Confidentiality, Availability, and Integrity Attacks
From the section: Build a Threat Model and Learn Different Attacks on AI. In this section, you will create a high-level threat model for AI solution to choose the right priorities against various threats. It’s important to know the main...
Curated Video
Evaluate visual representations of data that models real-world phenomena or processes : Hands-On Example: NLP
From the section: NLP Visualization and Model Experimentation. Visualize text data and view data embeddings. View and track hyperparameter tuning and display training configurations to run reproducible experiments. Here, we shall predict...
Packt
Compare the breadth-first and depth-first search algorithms : Using Breadth-First Search (BFS)
From the section: Searching in Graphs. In this section, we will see what we are searching for. Also, we will look at how to use and implement Breadth-First Search and Depth-First Search along with a simple puzzle game example. Learn the...
Curated Video
Describe network protocols : Review of Network Programming
From the section: Networking and Programming with IP and UDP In this section, we will learn about all about networking and using programming with IP and UDP. In this video, will learn about the basics of Network programming in general. •...
Curated Video
Describe a neural network : Evaluate Accuracy
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
Develop an AI system to solve a real-world problem : Classification versus Regression
From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be applied...
Curated Video
Predictive Analytics with TensorFlow 3.3: TensorFlow Programming Model
The TensorFlow programming model signifies how to structure your predictive models. • Look at the steps for structuring the model
Packt
Introduction to computer hardware and software : Cooling Your PC
From the section: Power Supplies. Here, we check our power supply, mount the power supply and learn how to cool our PC. All PCs make heat. Too much heat will damage components, so the heat must be dissipated from the system. Cooling...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Exploring the Possible Actions of Your CartPole Robot in OpenAI Gym
From the section: Lights, Camera, Action – Building Blocks of Reinforcement Learning. In this section, we learn about the main building blocks of reinforcement learning, including the action space, the environment, and the rewards. To...