Towards AI

OCTOBER 31, 2024

Hype Cycle for Emerging Technologies 2023 (source: Gartner) Despite AI’s potential, the quality of input data remains crucial. Inaccurate or incomplete data can distort results and undermine AI-driven initiatives, emphasizing the need for clean data. Clean data through GenAI!

Data Quality 122

Data Quality Analytics Analytics Clean Data 122

AWS Machine Learning Blog

JANUARY 17, 2024

To obtain such insights, the incoming raw data goes through an extract, transform, and load (ETL) process to identify activities or engagements from the continuous stream of device location pings. We can analyze activities by identifying stops made by the user or mobile device by clustering pings using ML models in Amazon SageMaker.

Clustering 137

Clustering AWS ML ML 137

Flipboard

JULY 10, 2023

Figure 3: Latent space visualization of the closet (source: Kumar, “Autoencoder vs Variational Autoencoder (VAE): Differences,” Data Analytics , 2023 ). Figure 5: Architecture of Convolutional Autoencoder for Image Segmentation (source: Bandyopadhyay, “Autoencoders in Deep Learning: Tutorial & Use Cases [2023],” V7Labs , 2023 ).

Deep Learning 132

Deep Learning Deep Learning Machine Learning Machine Learning 132

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

Dataconomy

JULY 28, 2023

Data scientists must decide on appropriate strategies to handle missing values, such as imputation with mean or median values or removing instances with missing data. The choice of approach depends on the impact of missing data on the overall dataset and the specific analysis or model being used.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Women in Big Data

DECEMBER 13, 2023

The event was part of the chapter’s technical talk series 2023. On December 5th, 2023, Dr Sonal Khosla took us on a journey from where it all began to the most recent Generative AI. In particular I know that how we collect, manage, and clean data to be consumed by these systems can greatly impact the overall success of these systems.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

Dataconomy

MAY 16, 2023

Data preprocessing and feature engineering: They are responsible for preparing and cleaning data, performing feature extraction and selection, and transforming data into a format suitable for model training and evaluation.

Data Scientist 156

Data Scientist ML ML Machine Learning 156