ODSC - Open Data Science

APRIL 29, 2023

This session will explore the current state of model training and execution at the edge, as well as acceleration alternatives in data augmentation and data curation strategies, containerized models and applications. AI/ML, Edge Computing and 5G in Action: Anatomy of an Intelligent Agriculture Architecture! Guillaume Moutier｜Sr.

Data Science 52

Data Science Exploratory Data Analysis AI AI 52

Mlearning.ai

JULY 11, 2023

For instance, feature engineering and exploratory data analysis (EDA) often require the use of visualization libraries like Matplotlib and Seaborn. In the data science industry, effective communication and collaboration play a crucial role. Moreover, tools like Power BI and Tableau can produce remarkable results.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Mlearning.ai

FEBRUARY 2, 2023

They were more from a Data Engineering angle rather than ML. As the exam tests us on Data Engineering, AWS components and expects us to design solutions. Data Engineering and Machine Learning Implementation and Operations in AWS were my weak points. I will fail  — That’s all. So I revised these very well.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

ODSC - Open Data Science

AUGUST 9, 2023

The inferSchema parameter is set to True to infer the data types of the columns, and header is set to True to use the first row as headers. About the Author: Suman Debnath is a Principal Developer Advocate(Data Engineering) at Amazon Web Services, primarily focusing on Data Engineering, Data Analysis and Machine Learning.

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

Kaggle

JULY 29, 2020

In August 2019, Data Works was acquired and Dave worked to ensure a successful transition. David: My technical background is in ETL, data extraction, data engineering and data analytics. The early days of the effort were spent on EDA and exchanging ideas with other members of the community.

ETL 71

ETL Data Scientist Data Science Machine Learning 71

ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

Mlearning.ai

JUNE 29, 2023

This is just a sample code implementation without any EDA & feature importance and also data engineering. Hyper-parameters: Min Pts & Eps So, the two hyper-parameters we have in the DBSCAN are Min Pts and Eps. Now, let us see how to determine them.

Clustering 52

Clustering Algorithm Data Mining Data Mining 52

AWS Machine Learning Blog

AUGUST 12, 2024

Data is presented to the personas that need access using a unified interface. For example, it can be used to answer questions such as “If patients have a propensity to have their wearables turned off and there is no clinical telemetry data available, can the likelihood that they are hospitalized still be accurately predicted?”

ML 114

ML ML AWS AI 114

The MLOps Blog

DECEMBER 28, 2022

Data scientists frame the business problem and the objective into a statistical solution and start with the very first step of data exploration. EDA, as it is popularly called, is the pivotal phase of the project where discoveries are made. Approvals from stakeholders ML projects are inherently iterative by nature.

ML 78

ML ML Data Scientist Machine Learning 78

Mlearning.ai

JUNE 16, 2023

GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API. The data would be interesting to analyze. From Data Engineering to Prompt Engineering Prompt to do data analysis BI report generation/data analysis In BI/data analysis world, people usually need to query data (small/large).

AI 52

AI AI Data Analysis Data Analysis 52