ODSC - Open Data Science

APRIL 27, 2023

In a recent study, “Synthetic data in healthcare: a narrative review” , the researchers identified seven areas where synthetic data helps bridge the data gap: health IT development, public release of datasets, simulation and prediction research, linking data, education and training, hypothesis, methods, and algorithm testing.

Machine Learning 52

Machine Learning Data Science Business Intelligence Deep Learning 52

Marktechpost

JULY 13, 2023

They can provide a logical justification for such phase changes thanks to this link. Data on the flow of cognition throughout training. Based on these findings, they investigate the possible advantages of chain-of-thought data during training.

Auto-complete 97

Auto-complete Large Language Models AI Tools Linked Data 97

Mlearning.ai

APRIL 23, 2023

First, let’s load the dataset and split it into features and labels: import pandas as pd from sklearn.model_selection import train_test_split url = "[link] data = pd.read_csv(url, delimiter=";") features = data.drop("quality", axis=1).values.astype(np.float32)

Neural Network 52

Neural Network Machine Learning Deep Learning Linked Data 52

Allen AI

MAY 30, 2023

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

John Snow Labs

AUGUST 31, 2023

Supported Data: [link] data Testing in 3 lines of Code !pip report() The report provides a comprehensive overview of our test outcomes using the Medical-files data, which comprises 49 entries. In Conclusion: Setting up the Harness is like preparing a toolbox for a job.

Large Language Models 52

Large Language Models LLM NLP OpenAI 52

Mlearning.ai

MAY 10, 2023

Github : [link] Data Augmentation Techniques Engineers could also explore data augmentation techniques to increase the diversity and complexity of training data for AI algorithms. DALL-E generates images based on textual descriptions, allowing for more control over the content of the generated images.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Algorithm AI 98

Mlearning.ai

JANUARY 26, 2023

Here a few easy-to-use open source solutions fit for the purpose: GeoNetwork , GeoNode , pyCSW and STAC ( SpatioTemporal Asset Catalogs ) to register metadata for geospatial assets (raster and vector) and serve them; Leaflet + rio-tiler to visualise geospatial data; XCUBE + Viewer App out-of-box solution to create a web-GIS, especially suitable for (..)

Metadata 98

Metadata Data Science Big Data Linked Data 98

Pickl AI

NOVEMBER 3, 2023

It’s perfect for Data Scientists interested in data visualization and creative applications. Learning Data Science from YouTube offers several significant benefits Accessibility One of the key reasons for the success and growing popularity of Data Science YouTubers is the accessibility of the video content.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52

Mlearning.ai

FEBRUARY 18, 2023

with sdk v2 import libraries import tqdm import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns sns.set_style("whitegrid") import the data set # Import required libraries from azure.identity import DefaultAzureCredential from azure.identity import AzureCliCredential from azure.ai.ml

Machine Learning 52

Machine Learning ML Automation Linked Data 52

AWS Machine Learning Blog

APRIL 7, 2023

encode("utf-8") import requests r2=requests.post(url="[link] data=request_body, headers={"Content-Type":"application/x-text","Accept":"application/json;verbose"}) print(r2.text) Create a file called invoke.py

BERT 82

BERT Metadata Natural Language Processing ML 82

IBM Journey to AI blog

OCTOBER 2, 2023

It was equally important that this infrastructure contained consistent metadata and data structures across all entities, preventing data redundancy and streamlining processes. The primary goal in adopting a planning and analytics solution was to link data and processes across departments.

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Metadata Linked Data Machine Learning Algorithm 239

Topbots

JUNE 22, 2023

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. Social Sentiment Indices Powered by X-Scores. Ferreira, Taynan; Lima Paiva, F. Silva, Roberto da; Paula, Angel de; Costa, Anna; Cugnasca, Carlos.

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

Pickl AI

JUNE 28, 2023

Horizontal Integration Horizontal integration combines data from similar sources or systems across different organizations. For example, integrating customer data from different retail stores under the same company. Entity Integration Entity integration focuses on linking data that relates to the same entities.

Data Mining 52

Data Mining Data Integration ETL Data Quality 52

Bugra Akyildiz

DECEMBER 3, 2022

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. It captures and provides the timings for all the layers present in the model.

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

Heartbeat

NOVEMBER 6, 2023

References / Further Resources Astronomer Documentation on Apache Airflow —  [link] A comparison between Apache Airflow Executors —  [link] Types of Executors in Apache Airflow —  [link].

ETL 52

ETL Python Metadata Deep Learning 52

TensorFlow

APRIL 28, 2023

import requests ADDRESS = ENDPOINT_IP_ADDRESS headers = { "content-type" : "application/json" } payload = ENDPOINT_SPECIFIC response = requests.post( f "[link] , data=payload, headers=headers ) As you see, each payload is dependent on the upstream tasks.

Machine Learning 52

Machine Learning ML Deep Learning Linked Data 52

Mlearning.ai

MAY 23, 2023

In this article, we will explore some common data science interview questions that will help you prepare and increase your chances of success. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52