IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

Machine Learning 129

Machine Learning Machine Learning ML ML 129

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.

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Tableau ML ML Database 145

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 98

Tableau ML ML Database 98

Mlearning.ai

FEBRUARY 28, 2023

As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. In this analysis, I: provided summary statistics and exploratory data analysis of the data.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

ODSC - Open Data Science

JANUARY 29, 2024

These outputs, stored in vector databases like Weaviate, allow Prompt Enginers to directly access these embeddings for tasks like semantic search, similarity analysis, or clustering. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

DagsHub

OCTOBER 23, 2024

Kafka is highly scalable and ideal for high-throughput and low-latency data pipeline applications. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. Implementation tip: Define a clear metadata schema tailored to your data needs.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52