What is AI ML DS?
AI, ML, and 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.
Let’s understand each one by one.
- Artificial Intelligence (AI): AI involves the development of an intelligent system that can perform the tasks that typically require human cognitive functions like learning, reasoning, problem-solving, building perception, and decision-making.
- Machine Learning (ML): ML is the subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems or machines to perform tasks without being explicitly programmed to do so.
- Data Science (DS): Data Science is an interdisciplinary field that combines various techniques and methods from statistics, mathematics, computer science, and domain-specific knowledge to extract insights and knowledge from structured and unstructured data.
Together, AI-ML-DS represents a powerful framework for solving complex problems, driving innovation, and transforming industries across various domains such as healthcare, finance, marketing, and more.
Table of Content
- Data Visualizations:
- Data Analysis
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Artificial Intelligence
What is AI ML DS and How To Get Started?
In this AI-ML-DS tutorial, you’ll find a wealth of resources designed to demystify these complex fields and empower you to develop practical skills and insights. Whether you’re just starting or looking to deepen your understanding, our tutorials cover everything from the basics of AI and ML algorithms to advanced data science techniques.
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