Cambridge Intelligence

JUNE 28, 2023

In the lead up to this, my day job as a software developer gave me a break from hard training rides, but my love of cycling sparked a mini side project: building web apps with the data visualization tools I help to develop, and using them to analyze and visualize Tour de France data.

Clustering 52

Clustering Data Visualization 52

ODSC - Open Data Science

JANUARY 29, 2024

Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies. Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Mlearning.ai

FEBRUARY 28, 2023

These are common Python libraries used for data analysis and visualization. Year: More than half the cars in the data were manufactured in or after 2014. Brand: Most of the cars in the data belong to Maruti or Hyundai. I began by importing pandas, matplotlib, and seaborn into my notebook.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. Visualizing data with ArangoDB Azure Cosmos DB “A graph database service that can be used to store massive graphs with billions of vertices and edges.

Database 59

Database Azure SQL AWS 59

Pickl AI

MAY 16, 2023

Data Scientist LinkedIn Profile Example Marla Smith, Senior Data Scientist at ABC Company Summary: Experienced data scientist with a strong background in statistical analysis, machine learning, and data visualization. Passionate about leveraging data to drive business decisions and improve customer experience.

Data Scientist 52

Data Scientist Data Science SQL Python 52

Tableau

DECEMBER 1, 2021

VizQL’s powerful combination of query and visual encoding led me to the following six innovation vectors in my analysis of Tableau’s history: Falling under the category of query , we’ll discuss connectivity , multiple tables , and performance. The Data Tab was added in v8.2 Gestalt properties including clusters are salient on scatters.

Tableau 144

Tableau ML ML Database 144

Tableau

DECEMBER 1, 2021

VizQL’s powerful combination of query and visual encoding led me to the following six innovation vectors in my analysis of Tableau’s history: Falling under the category of query , we’ll discuss connectivity , multiple tables , and performance. The Data Tab was added in v8.2 Gestalt properties including clusters are salient on scatters.

Tableau 98

Tableau ML ML Database 98