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 103

Data Quality Analytics Analytics Clean Data 103

Women in Big Data

DECEMBER 13, 2023

The Bay Area Chapter of Women in Big Data (WiBD) hosted its second successful episode on the NLP (Natural Language Processing), Tools, Technologies and Career opportunities. The event was part of the chapter’s technical talk series 2023. Computational Linguistics is rule based modeling of natural languages.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

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. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Analytics 40

Analytics Analytics Big Data Big Data 40

Snorkel AI

MAY 9, 2023

We asked the community to bring its best and most recent research on how to further the field of data-centric AI, and our accepted applicants have delivered. Those approved so far cover a broad range of themes—including data cleaning, data labeling, and data integration.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Clean Data 52

Snorkel AI

MAY 9, 2023

We asked the community to bring its best and most recent research on how to further the field of data-centric AI, and our accepted applicants have delivered. Those approved so far cover a broad range of themes—including data cleaning, data labeling, and data integration.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Clean Data 52

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

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). 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.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91