ODSC - Open Data Science

AUGUST 15, 2023

Big Data Analysis with PySpark Bharti Motwani | Associate Professor | University of Maryland, USA Ideal for business analysts, this session will provide practical examples of how to use PySpark to solve business problems. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

ODSC - Open Data Science

SEPTEMBER 1, 2023

SQL Primer Thursday, September 7th, 2023, 2 PM EST This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in learning AI.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning AI 52

Becoming Human

MAY 15, 2023

These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey. Data Analysis After learning math now, you are able to talk with your data.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Dataconomy

MAY 16, 2023

It involves data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and correlations that can drive decision-making. The rise of machine learning applications in healthcare Data scientists, on the other hand, concentrate on data analysis and interpretation to extract meaningful insights.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).

Analytics 40

Analytics Analytics Big Data Big Data 40

ODSC - Open Data Science

JANUARY 29, 2024

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. series (Davinci, etc), GPT-4, and GPT-4 Turbo are immensely popular.

Data Science 52

Data Science Machine Learning Machine Learning AI 52