Marktechpost

AUGUST 19, 2023

Modeling the underlying academic data as an RDF knowledge graph (KG) is one efficient method. This makes standardization, visualization, and interlinking with Linked Data resources easier. As a result, scholarly KGs are essential for converting document-centric academic material into linked and automatable knowledge structures.

Linked Data 98

Linked Data AI AI Data Analysis 98

Allen AI

MAY 30, 2023

2021), a recently proposed commonsense moral reasoning model, generates moral judgments for simple actions described in text. PDF: [link] Data + Code: [link] References Awad, Edmond, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua Tenenbaum, and Max Kleiman-Weiner.

Computational Linguistics 52

Computational Linguistics Linked Data Chatbots NLP 52

Bugra Akyildiz

DECEMBER 3, 2022

For models and datasets , checkout out HuggingFace (HF) page: [link]. NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance.

OpenAI 52

OpenAI ChatGPT Data Drift Robotics 52

Mlearning.ai

MARCH 15, 2023

Please refer to this documentation link. Let's pull data from the table historical_prices [link] We can convert the Snowpark DataFrame to Pandas DataFrame [link] View Pricing data [link] Data Preprocessing After data extraction, we will check some basic information & statistics of the dataset.

Python 52

Python Machine Learning Data Extraction Data Analysis 52

Topbots

JUNE 22, 2023

In 2021 I and some colleagues published a research article on how to employ sentiment analysis on a applied scenario. ALLDATA, The Second Inter-national Conference on Big Data, Small Data, Linked Data and Open Data (2016). Vasiliu, L., Koumpis, A., Mcdermott, R., and Handschuh, S.

Machine Learning 107

Machine Learning ChatGPT Natural Language Processing Categorization 107

Heartbeat

NOVEMBER 6, 2023

If your start_date is 2021, then Airflow will start running from this time. link] The next step is to define the variables used and write a Python function for downloading the CSV file, reading it with pandas, and saving it to the Airflow home directory. By default, Airflow will start running a DAG from the start_date.

ETL 52

ETL Python Metadata Deep Learning 52