Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Snorkel AI

APRIL 28, 2023

On one hand, there’s a data management community trying to understand data transformation and computing some functions over exponentially many databases for decades. On the other hand, there’s a machine learning community trying to understand data importance for machine learning training over the last few decades.

ML 52

ML ML Machine Learning Machine Learning 52

Snorkel AI

APRIL 28, 2023

On one hand, there’s a data management community trying to understand data transformation and computing some functions over exponentially many databases for decades. On the other hand, there’s a machine learning community trying to understand data importance for machine learning training over the last few decades.

ML 52

ML ML Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

The following figure represents the life cycle of data science. It starts with gathering the business requirements and relevant data. Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Why is data cleaning crucial?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52