Pragnakalp

APRIL 29, 2024

However, it’s important to note that the context provided also discusses other key aspects of data science, such as Veracity, which deals with the trustworthiness or usefulness of results obtained from data analysis, and the challenges faced in Big Data Analytics, including data quality, validation, and scalability of algorithms.

Deep Learning 59

Deep Learning Big Data Data Science LLM 59

Pickl AI

JULY 12, 2024

Jupyter notebooks are widely used in AI for prototyping, data visualisation, and collaborative work. Their interactive nature makes them suitable for experimenting with AI algorithms and analysing data. Importance of Data in AI Quality data is the lifeblood of AI models, directly influencing their performance and reliability.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Neural Network 52

Pickl AI

MARCH 10, 2023

Challenge #1: Data Cleaning and Preprocessing Data Cleaning refers to adding the missing data in a dataset and correcting and removing the incorrect data from a dataset. On the other hand, Data Pre-processing is typically a data mining technique that helps transform raw data into an understandable format.

Data Scientist 52

Data Scientist Data Science Data Integration Auto-classification 52

Pickl AI

OCTOBER 15, 2024

It uses data mining , correlations, and statistical analyses to investigate the causes behind past outcomes. Predictive Analytics Predictive analytics involves using statistical algorithms and Machine Learning techniques to forecast future events based on historical data.

Machine Learning 52

Machine Learning Big Data Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Data Science 52

Data Science Big Data ETL Deep Learning 52

Pickl AI

AUGUST 21, 2024

Advanced crawling algorithms allow them to adapt to new content and changes in website structures. Precision: Advanced algorithms ensure they accurately categorise and store data. This efficiency saves time and resources in data collection efforts. It is highly customizable and supports various data storage formats.

Data Extraction 52

Data Extraction Automation Data Quality Data Analysis 52

Pickl AI

MAY 7, 2024

Perform data transformations, such as merging, filtering, and aggregating data Data Analysis and Modeling Analyze data using statistical techniques, data mining, and predictive modeling.

Data Science 52

Data Science Data Mining Python Data Analysis 52

Pickl AI

JULY 18, 2023

This environment allows users to write, execute, and debug code in a seamless manner, facilitating rapid prototyping and exploration of algorithms. It offers a range of customizable plot types and options, enabling users to present and analyze data in a visually appealing and meaningful way. Q: Is C++ relevant in Data Science?

Data Science 52

Data Science Data Scientist Python Business Intelligence 52