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AI ML DS - How To Get Started?
Last Updated :
23 Jul, 2025
Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS) are three interrelated fields in computer science and statistics. AI focuses on creating intelligent systems, ML enables computers to learn from data and make predictions, and DS leverages data to extract insights and drive decision-making. These three fields often overlap and complement each other in solving real-world problems and advancing technology.
Data Science
Data Science combines statistical and computational tools to process and analyze large amounts of data. DS practitioners use their insights from data to inform decisions, predict trends, and improve the effectiveness of processes.
Prerequisites for Data Science
Important Libraries
Data Analysis
Data Visualization
Machine Learning
Machine Learning is a subset of AI focused on building systems that learn from data, identify patterns, and make decisions with minimal human intervention. ML algorithms improve their performance as the amount of data they're exposed to increases.
Supervised Machine Learning
In supervised machine learning, the model is trained on the label data to predict outcomes for new or unseen data.
Semi-Supervised Learning uses a small amount of labeled data and a large amount of unlabeled data to improve learning accuracy.
Unsupervised Machine Learning
In unsupervised machine learning, the model learns patters and structures from unlabeled data without defined output labels.
Reinforcement Learning
In reinforcement learning, agent learns to make decisions by interacting with an environment and receiving rewards or penalties based on its actions.
To learn more about machine learning, you can follow this tutorial: Machine Learning Tutorial
Deep Learning
Deep learning is a specialized area within ML. Deep learning uses neural networks with many layers (deep neural networks) to automatically learn features and representations from large datasets.
To learn more about deep learning, you can follow this tutorial: Deep Learning Tutorial
Artificial Intelligence (AI)
Artificial Intelligence refers to the capability of a machine to imitate intelligent human behavior. It encompasses a broad range of technologies that enable machines to perceive, comprehend, act, and learn.
To learn more, you can follow these tutorials:
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