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Machine learning algorithms are models used to analyze data and make predictions or decisions without being explicitly programmed.
Supervised learning algorithms: Decision Trees, Support Vector Machines, Linear Regression
Unsupervised learning algorithms: K-means Clustering, Principal Component Analysis
Reinforcement learning algorithms: Q-Learning, Deep Q-Networks
Neural networks are a type of machine learning algorithm inspired by the human brain, consisting of interconnected nodes that process information.
Neural networks consist of layers of interconnected nodes, including input, hidden, and output layers.
Each node receives input, processes it using weights and activation functions, and passes the output to the next layer.
Neural networks learn by adjusting the weights based on...
Different cost functions for regression are used to measure the error between predicted and actual values.
Common cost functions include Mean Squared Error (MSE), Mean Absolute Error (MAE), and Huber Loss.
MSE penalizes larger errors more heavily, while MAE treats all errors equally.
Huber Loss is a combination of MSE and MAE, providing a balance between robustness and sensitivity to outliers.
SQL join operations are used to combine rows from two or more tables based on a related column between them.
Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
INNER JOIN returns rows when there is at least one match in both tables.
LEFT JOIN returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN returns all rows from the right table and the matched rows from th...
Explaining the training strategy
One project details and how to collect project details
Introduction
Subject
Swot analysis
Area Sales Manager
4
salaries
| ₹3.6 L/yr - ₹4.8 L/yr |
Accounts Manager
3
salaries
| ₹0.8 L/yr - ₹4.8 L/yr |
TCS
Accenture
Wipro
Cognizant