Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Evaluating Machine Learning Systems with Cross-Validation
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
APMonitor
Linear and Polynomial Regression in Python
This brief tutorial demonstrates how to use Numpy and SciPy functions in Python to regress linear or polynomial functions that minimize the least squares difference between measured and predicted values. Source Code:...
APMonitor
Linear and Nonlinear Regression in Python
Polynomial or general nonlinear functions are developed with Numpy and Scipy in Python. These exercises also cover methods to create linear or spline interpolations that interpolate between data points.
APMonitor
MathCAD Graphing and Calculus
Plotting expressions is important to visualize data, relationships between variables, and perform analysis. Mathcad plotting allows visualization of variable values, functions, and data points. Included in this demonstration is common...
Packt
Positive Impact Advantages of AI : What Can AI Do for Businesses?
From the section: Getting Started with Artificial Intelligence with Python. In this section, learners are introduced to Artificial Intelligence and the libraries they will be using for the rest of the course, including NumPy, matplotlib,...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Decision Trees and Random Forests
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
routing protocols : Types of Routing Protocols -Distance Vector, Link State
From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols. Routing Introduction: Types of Routing Protocols -Distance...
APMonitor
Symbolic Manipulation in Python
The SymPy package computes symbolic solutions to simplify, expand, factor, differentiate, integrate, and solve equations. These problems cover a range of SymPy functions.
Curated Video
Predictive Analytics with TensorFlow 2.3: Using Information Theory in Predictive Modeling
This video will first explain you the information theory. We will then see types of entropy. We will use the information theory in Python. • Study the different types of entropy • Use information theory in Python
Curated Video
Create a machine learning model of a real-life process or object : Putting It All Together in a Professional Way
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : Understanding Reinforcement Learning Algorithms
From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research solutions...
Curated Video
Discuss the importance of data : Test-Train split 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
Predictive Analytics with TensorFlow 10.1: Recommendation Systems
Recommendation systems is a subclass of information filtering system that helps predict the "rating" or "preference" based on the rating provided by users of an item. We will also see collaborative filtering and content-based filtering...
Curated Video
Discuss the importance of data : Classification tree
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Design a computer system using tree search and reinforcement learning algorithms : The Course Overview
From the section: Getting Started With Reinforcement Learning Using OpenAI Gym. In this section, we will introduce the basics of the reinforcement learning problem, and explain how OpenAI gym helps with developing and research solutions...
Cerebellum
The Human Body Major Systems & Organs - Genetics And The Digestive System
The human body is a wondrously complex machine made of flesh, bone, muscles, organs, blood vessels and highly specialized systems that function together to sustain life. This fascinating third part of The Human Body series examines the...
Pitsco Education
Getting Started With Code Cube
Meet Code Cube, a codeable wearable device with a rechargeable lithium battery built in. The screen is made up of sixty-four pixel LED lights. In the box, you'll find one Code Cube, a micro USB cable, and one slap band. This elementary...
Curated Video
Predictive Analytics with TensorFlow 7.1: Deep Learning for Better Predictive Analytics
DL is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. In this video, we will see artificial neural networks and deep neural networks. We will also see deep neural networks architecture....
Wonderscape
Great Careers: How to Become a Computer Programmer
This video is an introduction to the world of computer programming. It explains what computer programmers do, the different coding languages they use, and the various career opportunities available in the field. It also provides...
Curated Video
Predictive Analytics with TensorFlow 11.3: Developing a Stock Price Predictive Model
An emerging area for applying is the stock market trading, where a trader acts like a reinforcement agent since buying and selling particular stock changes the state of the trader by generating profit or loss, that is, reward. • Define...
Curated Video
Predictive Analytics with TensorFlow 7.3:Using Multilayer Perceptrons for Predictive Analytics
For this video, we will be using bank marketing datasets. The data is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. We will do predictive analytics using...
Curated Video
Use a real-life example of an AI system to discuss some impacts of cyber attacks : Categories of ML Tasks and Attacks
From the section: Security Test Using Adversarial Attack. In this section, you will test any AI system against the latest attacks with the help of simple tools. The aim of this video is to demonstrate that all approaches to solving...
Curated Video
Predictive Analytics with TensorFlow 6.1: NLP Analytics Pipelines
This video will explain us the general purpose of machine learning and also explain the workflow of predictive analytics. • Understand the workflow of predictive analytics in machine learning
Curated Video
Describe cyber attacks that could affect a computer system or network : Network Vulnerability Test Scope and Process
From the section: Introducing Network Security. This section provides Information about Overview of Network security, Test scope of Networks. It also includes Installation Procedure of Virtual Machines. For example: Kali Linux...