Marktechpost

AUGUST 19, 2023

Modeling the underlying academic data as an RDF knowledge graph (KG) is one efficient method. This makes standardization, visualization, and interlinking with Linked Data resources easier. As a result, scholarly KGs are essential for converting document-centric academic material into linked and automatable knowledge structures.

Linked Data 96

Linked Data AI AI Data Analysis 96

Pickl AI

NOVEMBER 3, 2023

It’s perfect for Data Scientists interested in data visualization and creative applications. Learning Data Science from YouTube offers several significant benefits Accessibility One of the key reasons for the success and growing popularity of Data Science YouTubers is the accessibility of the video content.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52

Mlearning.ai

JANUARY 26, 2023

In the most generic terms, every project starts with raw data, which comes from observations and measurements i.e. it is directly downloaded from instruments. It can be gradually “enriched” so the typical hierarchy of data is thus: Raw data ↓ Cleaned data ↓ Analysis-ready data ↓ Decision-ready data ↓ Decisions.

Metadata 98

Metadata Data Science Big Data Linked Data 98

Mlearning.ai

MARCH 15, 2023

Data storage : Store the data in a Snowflake data warehouse by creating a data pipe between AWS and Snowflake. Data Extraction, Preprocessing & EDA : Extract & Pre-process the data using Python and perform basic Exploratory Data Analysis. Please refer to this documentation link.

Python 52

Python Machine Learning Data Extraction Data Analysis 52

Mlearning.ai

MAY 23, 2023

In this article, we will explore some common data science interview questions that will help you prepare and increase your chances of success. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science? How will you treat missing values during data analysis?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52