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Machine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and make predictions or decisions based on data. Instead of being explicitly programmed for every task, ML algorithms build models based on sample data, known as training data, to make data-driven predictions or decisions. Key Concepts in Machine Learning Types of Machine Learning: Supervised Learning: The algorithm is trained on a labeled dataset, meaning that each training example is paired with an output label. Common tasks include classification and regression. Example: Predicting house prices based on features like size, location, and number of bedrooms. Unsupervised Learning: The algorithm works on unlabeled data and tries to find hidden patterns or intrinsic structures in the input data. Common tasks include clustering and association. Example: Grouping customers into different segments based on purchasing behavior. Semi-supervised Learning: Combines a small amount of labeled data with many unlabeled data during training. It falls between supervised and unsupervised learning. [url=https://www.sevenmentor.com/machine-learning-course-in-pune.php] Machine Learning Classes in Pune

Machine learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms that enable computers to learn from and make predictions or decisions based on data. Instead of being explicitly programmed for every task, ML algorithms build models based on sample data, known as training data, to make data-driven predictions or decisions. Key Concepts in Machine Learning Types of Machine Learning: Supervised Learning: The algorithm is trained on a labeled dataset, meaning that each training example is paired with an output label. Common tasks include classification and regression. Example: Predicting house prices based on features like size, location, and number of bedrooms. Unsupervised Learning: The algorithm works on unlabeled data and tries to find hidden patterns or intrinsic structures in the input data. Common tasks include clustering and association. [url=https://www.sevenmentor.com/machine-learning-course-in-pune.php] Machine Learning Classes in Pune

What is machine learning and how does it work ? Machine learning is a branch of (AI) artificial intelligence that enables computers to learn from data and make decisions or predictions without being explicitly programmed. It focuses on creating algorithms that can automatically detect patterns, make decisions, and improve over time with experience. Machine learning works by building models from data. Here's a simplified explanation of the process: 1. Data Collection Gathering Data: The first step is to collect a large amount of data relevant to the problem you're trying to solve. This could be anything from images, text, or numerical data, to more complex data like time-series or audio recordings. 2. Data Preprocessing Cleaning the Data: Raw data often has noise, missing values, or inconsistencies. This step involves cleaning and transforming the data into a format suitable for analysis. Feature Selection: Identifying the most important variables (features) in the data that will help the model make accurate predictions. 3. Splitting the Data Training Set: The majority of the data is used to train the machine learning model. The model learns patterns and relationships from this data. Test Set: A smaller portion is used for testing the model’s performance, ensuring that it generalizes well to unseen data. 4. Selecting a Machine Learning Algorithm Supervised Learning: Used when you have labeled data (input and correct output). Algorithms like linear regression, decision trees, and support vector machines (SVM) are popular choices. Unsupervised Learning: Used when you have unlabeled data and the model tries to find hidden patterns. Examples include clustering (e.g., K-Means) and association algorithms. Visit more- Machine Learning Course in Pune https://www.sevenmentor.com/machine-learning-course-in-pune.php

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