Want to understand the power of data? Data science is the study of data collection and analysis, using tools and algorithms to extract valuable insights from data.
To succeed in this field, you'll need a strong understanding of ML algorithms, data mining. Also, skills in programming, statistics and linear algebra, expertise in databases like SQL & MongoDB.
Are you ready to revolutionize the way computers learn? Machine learning is a branch of artificial intelligence that allows systems to automatically improve their performance by learning from data.
From virtual assistants to fraud detection, applications of ML are vast. To succeed in this field, you'll need understanding of ML algorithms, also, skills in math, programming (Python or R), & data modeling.
- Data science focuses on identifying hidden patterns & valuable insights in data. - ML allows computers to learn from data by observing patterns & making decisions without explicit programming.
- Data science involves activities like data collection, data cleaning, & data processing. - ML involves 3 types of learning: unsupervised, reinforcement, and supervised learning.
- Data science can work with various types of data, including raw, structured, and unstructured.- Machine Learning mostly relies on structured data to function.