ODSC - Open Data Science

AUGUST 15, 2023

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

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 Data Science 52

Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

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. Here are some project ideas suitable for students interested in big data analytics with Python: 1.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

DECEMBER 4, 2024

According to a survey by IBM, over 60% of Data Scientists report that keeping up with new technologies and methodologies is one of their biggest challenges. Additionally, the sheer volume of data generated daily complicates the process. As of 2023, it is estimated that 175 zettabytes of data will be created globally each year.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Dataconomy

MAY 16, 2023

Programming skills: Data scientists should be proficient in programming languages such as Python, R, or SQL to manipulate and analyze data, automate processes, and develop statistical models. Machine learning engineers leverage the models developed by data scientists, fine-tune them for efficiency, and deploy them into production.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

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. Stable Diffusion seems favored, perhaps due to it being largely an open-source model.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52