Remove Clean Data Remove Events Remove Natural Language Processing
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NLP, Tools and Technologies and Career Opportunities

Women in Big Data

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.

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Poster presenters compete to win desktop GPU

Snorkel AI

The event will be a crucial component of the Future of Data-Centric AI conference, which will bring together some of the brightest minds in AI and machine learning from all over the world. Those approved so far cover a broad range of themes—including data cleaning, data labeling, and data integration.

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Poster presenters compete to win desktop GPU

Snorkel AI

The event will be a crucial component of the Future of Data-Centric AI conference, which will bring together some of the brightest minds in AI and machine learning from all over the world. Those approved so far cover a broad range of themes—including data cleaning, data labeling, and data integration.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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Elevate Your Data Quality: Unleashing the Power of AI and ML for Scaling Operations

Pickl AI

It defines roles, responsibilities, and processes for data management. 6 Elements of Data Quality Accuracy Data accuracy measures how well the data reflects the real-world entities or events it represents. Accurate data is free from errors, inconsistencies, or discrepancies.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes.

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Large Language Models: A Complete Guide

Heartbeat

LLMs are one of the most exciting advancements in natural language processing (NLP). We will explore how to better understand the data that these models are trained on, and how to evaluate and optimize them for real-world use. This process ensures that the dataset is of high quality and suitable for machine learning.