Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. A bar chart represents categorical data with rectangular bars.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g., temperature, salary).

Machine Learning 204

Machine Learning Neural Network Algorithm Computer Vision 204

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Next, we want to look for categorical data in our dataset.

IDP 100

IDP Data Scientist Categorization Data Quality 100

Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. As a result, users can save time and effort in the data analysis process by eliminating the need for manual data preparation. The software is available as a free Chrome extension.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence AI AI 97

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. R’s workflow support enhances productivity and collaboration among data scientists.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 87

Machine Learning Data Mining Data Scientist Artificial Intelligence 87

Artificial Corner

JUNE 6, 2023

This made them ideal for trend analysis, business reporting, and decision support. The development of data warehouses marked a shift in how businesses used data, moving from transactional processing to data analysis and decision support.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52