A branch of artificial intelligence called machine learning uses data to teach computers without explicit programming. Through decision-making or forecasting based on historical python for data science online course hyderabad, machine learning aids in the development of predictive models.

1. What is Data Science?

The multidisciplinary discipline of data science combines statistical techniques, tools, and algorithms to glean information and insights from both structured and unstructured data. It blends domain knowledge, computer science, statistics, and mathematics.

• Python, R, SQL, Pandas, Tableau, Excel, and Jupyter are examples of common tools.
• Applications include recommendation engines, fraud detection, business analytics, and medical diagnostics.

 2. What is Machine Learning (ML)?

A branch of artificial intelligence called machine learning uses data to teach computers without explicit programming.

Through decision-making or forecasting based on historical data, machine learning aids in the development of predictive models.

 ML Types:

1. Supervised Learning (classification, regression, etc.)

2. Unsupervised Learning(e.g., dimensionality reduction, grouping)

3. Reinforcement Learning such as teaching agents to make choices in their surroundings