Curated Video
Predictive Analytics with TensorFlow 6.4: TF-IDF Model for Predictive analytics
TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document, frequency and the inverse document frequency. •...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : What is Machine Learning?
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....
Programming Electronics Academy
Functions Overview: Arduino Course 3.5
An overview of what programming functions are and how they work.
Curated Video
Discuss the importance of data : The Data set for Classification problem
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
Describe a neural network : Neural Network for Regression
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,...
APMonitor
Nonlinear Regression in MATLAB
A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the MATLAB APMonitor toolbox. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared...
Packt
Develop an AI system to solve a real-world problem : Building Artificial Neural Networks
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
Implement logical operations in a computer program : Logical Operators
From the section: Basics. In this section, we look into comments, variables and its types, list, tuples, dictionary, various operators, and loops in details. Logical operators are typically used with Boolean (logical) values. When they...
Curated Video
Describe computer programming : Basics of Python
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 walk you an overview about the Python. • Go to the Python.org...
APMonitor
MATLAB Nonlinear Optimization with fmincon
This step-by-step tutorial demonstrates fmincon solver on a nonlinear optimization problem with one equality and one inequality constraint. Visit http://apmonitor.com/che263/index.php/Main/MatlabOptimization for source code.
Curated Video
Evaluate a machine learning model : Evaluate Model Performance
From the section: Regression. In this section, you are going to learn about Regression. Regression: Evaluate Model Performance
Packt
Define artificial intelligence : AI, Machine Learning, Deep Learning Overview
From the section: Introduction. In this section, the learner will be introduced to the environment and working of Keras and how to set it up to go coding. A very brief introduction along with an illustration will be given to deep...
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.
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,...