Perspectives and Issues in Machine Learning Following are the list of issues in machine learning: 1. What algorithms exist for learning general target functions from specific training examples? In what settings will particular algorithms converge to the desired function, given sufficient training data? Which algorithms perform best for which types of problems and representations? 2. […]
Consistent Hypothesis, Version Space and List then Eliminate Algorithm Consistent Hypothesis The idea: output a description of the set of all hypotheses consistent with the training examples (correctly classify training examples). Video Tutorial of Consistent Hypothesis, Version Space, and List then Eliminate Algorithm Version Space Version Space is a representation of the set of hypotheses
18CS71 Artificial Intelligence and Machine Learning (AIML) Module wise Question Bank with Solutions Here you can find the module-wise questions and solutions for 18CS71 Artificial Intelligence and Machine Learning. Solution to 18CS71 Artificial Intelligence and Machine Learning Model Question Paper Module 1 – Introduction to Artificial Intelligence 1. What is Artificial Intelligence? List the fields
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Simple Linear Regression Model Solved Example in Machine Learning Regression modeling is a process of determining a relationship between one or more independent variables and one dependent or output variable. Example: 1. Predicting the height of a person given the age of the person. 2. Predicting the price of the car given the car model,
Quadratic Polynomial Regression Model Solved Example in Machine Learning Regression modeling is a process of determining a relationship between one or more independent variables and one dependent or output variable. Example: 1. Predicting the price of the car given the car model, year of manufacturing, mileage, engine capacity. 2. Predicting the height of a person
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Types of Regression Models in Machine Learning Regression modeling is a process of determining a relationship between one or more independent variables and one dependent or output variable. Examples: 1. Predicting the price of the car given the car model, year of manufacturing, mileage, engine capacity, etc. 2. Predicting the height of a person given
K-Nearest Neighbors Algorithm Solved Example in Machine Learning K-Nearest Neighbors Algorithm is an instance-based supervised machine learning algorithm. It is also known as the Lazy Learner algorithm as it delays the learning process till the arrival of a new example. In this tutorial, we will understand how to apply k nearest neighbors algorithm to classify
18CSL76 Artificial Intelligence and Machine Learning Laboratory – VTU AIML Lab and Theory 18CS71 Artificial Intelligence and Machine Learning Laboratory – 18CSL76 (VTU AIML Lab) covers the different algorithms such as A* Search, A** Search, Find-S algorithms, Candidate elimination algorithm, Decision tree (ID3) algorithm, Artificial Neural Networks, Backpropagation Algorithm, Naïve Bayes classifier for text classification,
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Implementation of Linear and Polynomial Regression in Python – Machine Learning In this tutorial, we will understand the Implementation of Polynomial Linear Regression in Python – Machine Learning. Importing the Necessary libraries To begin the implementation first we will import the necessary libraries like NumPy for numerical computation, MatPlotlib for visualization, and pandas for reading
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Implementation of Simple Linear Regression in Python – Machine Learning In this tutorial, we will understand the Implementation of Simple Linear Regression in Python – Machine Learning. Importing the Necessary libraries To begin the implementation first we will import the necessary libraries like NumPy for numerical computation, MatPlotlib for visualization, and pandas for reading the
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