Curated Video
Ensemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves
This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning
Packt
Compare the breadth-first and depth-first search algorithms : Example - A Simple Puzzle Game
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. Solve the...
APMonitor
MATLAB User Defined Custom Functions
User-defined functions are routines in MATLAB that typically input data or arguments, perform custom calculations, and return one or multiple results. This introduction to functions is part of the programming course for engineers at...
Curated Video
High Performance Scientific Computing with C 2.2: Algorithm Complexity and Performance
How does the design of our programs affect their speed and accuracy? • Learn about floating-point round-off error • Learn about computational complexity • Examine the divide-and-conquer design approach
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Creating a Bandit with 4 Arms Using Python and Numpy
From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB environment from...
Curated Video
Modify a data structure : Big O Notation and Calculating the Runtime of a Function
From the section: Linked Lists. Linked Lists: Big O Notation and Calculating the Runtime of a Function Linked Lists: Big O Notation and Calculating the Runtime of a Function
Pitsco Education
Code Cube Lesson 7: Riddled
In this lesson, you will learn how to make your Code Cube a prompting device for riddles.
APMonitor
Solve Nonlinear Equations with Python
This tutorial demonstrates how to set up and solve a set of nonlinear equations in Python using the SciPy Optimize package.
Curated Video
Predictive Analytics with TensorFlow 11.1: Reinforcement Learning
Supervised and unsupervised learning appears at opposite ends of the spectrum, RL exists somewhere in the middle. We use reinforcement learning to discover a good sequence of actions to take the maximum expected rewards. We will also see...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Running the Blackjack Environment From the OpenAI Gym
From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...
Curated Video
Predictive Analytics with TensorFlow 6.3: Using BOW for Predictive Analytics
In this video, we will see how to perform a bit more complex predictive analytics using the bag-of-words concept of NLP with TensorFlow. At first, we will formalize the problem, and then will explore the dataset that will be used....
Curated Video
Describe a neural network : Neural Network for Binary Classifications
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,...
Programming Electronics Academy
Introduction to User Defined Functions: Arduino Course 8
A description of User Defined Functions in programming.
Curated Video
Cloud Native Development on Azure with Java 3.1: Security Features of an Azure Web Application
Security is a very important aspect of any application. In this video, we will go through the process of securing our cloud-native application, which we created in the previous section. • Explore the security features • Learn about the...
Packt
Use different data types : Exploring Python Data Types
From the section: NumPy Fundamentals in Python. Every programming language is different. You will cover fundamentals in order to get familiar with the Python environment needed for NumPy. You will learn to work with numbers, lists,...
Curated Video
Use a real-life example of an AI system to discuss some impacts of cyber attacks : Most Common AI Solutions and Threats
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. The aim of this video is to give...
Curated Video
Design test cases to verify a computer program : Testing for Errors
From the section: Unit Testing with Python. In this section, you will learn about unit testing using Python. This video explains how to test for errors in Python.
Packt
Introduction to computer hardware and software : New Installation - First Drive
From the section: Implementing Mass Storage. Here, we learn to implement mass storage. A brand-new system doesn’t have a bootable drive with an installed operating system. In this episode you will go through the process of setting up an...
Curated Video
Describe an advanced data structure : Optimizing the Sieve of Eratosthenes
From the section: More Complex Algorithms on Arrays. In this section, we will deal with even more complex problems involving arrays. They will require more complex logic or data structures to solve, or a clever way of applying more than...
Curated Video
Implement arithmetic operations in a computer program : Operators: Arithmetic, Assignment
From the section: Operators in Python. This section is about Operators in Python. Operators in Python: Operators: Arithmetic, Assignment
Curated Video
Describe computer programming : Coding In a nutshell
From the section: Coding in a nutshell. This section will help to answer some common beginner questions related to coding. Coding in a nutshell: Coding In a nutshell • Understand the process of Python decisions making • Understand about...
APMonitor
Nonlinear Regression in Microsoft Excel
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the Excel solver add-in. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared errors),...
Packt
Evaluate the positive impacts of mobile computing on society : Most Common AI Solutions and Threats
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. The aim of this video is to give...
Curated Video
Describe an advanced data structure : Find the Factorial with a Given Number of Zeros
From the section: Doing a Lot with Very Little. In this section, we will explore some problems that look difficult to solve efficiently at first sight. You might think that they require some advanced logic or data structures, but in fact...