Flipboard

MARCH 3, 2025

Google Colab, Googles cloud-based notebook tool for coding, data science, and AI, is gaining a new AI agent tool, Data Science Agent, to help Colab users quickly clean data, visualize trends, and get insights on their uploaded data sets.

Clean Data 174

Clean Data Data Science Data Visualization AI 174

Dataconomy

AUGUST 16, 2023

Imagine data scientists as modern-day detectives who sift through a sea of information to uncover hidden patterns, trends, and correlations that can inform decision-making and drive innovation. At the heart of the matter lies the query, “What does a data scientist do?” Work Works with larger, more complex data sets.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Pickl AI

SEPTEMBER 25, 2023

Here, you will find all the necessary information on how to find the best course for Data Science for beginners and how you can self-study to improve your learning. What is Data Science? The application of Data Science has expanded across the different niches: healthcare, finance, marketing, and technology.

Data Science 52

Data Science Data Analysis Data Analysis Data Visualization 52

Flipboard

FEBRUARY 2, 2023

Her research interest includes model interpretability, causal analysis, human-in-the-loop AI and interactive data visualization. He has collaborated with the Amazon Machine Learning Solutions Lab in providing clean data for them to work with as well as providing domain knowledge about the data itself.

Cross Validation 123

Cross Validation ML ML Machine Learning 123

Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. You will collect and clean data from multiple sources, ensuring it is suitable for analysis.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Pickl AI

JANUARY 17, 2023

In a business environment, a Data Scientist is involved to work with multiple teams laying out the foundation for analysing data. This implies that as a Data Scientist, you would engage in collecting, analysing and cleaning data gathered from multiple sources.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52