Towards AI

FEBRUARY 10, 2023

Unlocking the Power of Real-time Predictions: An Introduction to Incremental Machine Learning for Linked Data Event Streams Photo by Isaac Smith on Unsplash This article discusses online machine learning, one of the most exciting subdomains of machine learning theory. LDES workbench in Apache NIFI (Image by the author.)

Linked Data 92

Linked Data Machine Learning ML Big Data 92

Pickl AI

NOVEMBER 3, 2023

I wanted to know if YouTube could be my knowledge repository to learn more about Data Science. Top Data Science YouTubers 1. Data School by Kevin Markham Category: Tutorials and Python Programming Subscribers: 216K Link to the Channel: [link] It is a treasure trove of Data Science tutorials.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52

Becoming Human

JANUARY 23, 2023

If you have any reviews, critics, or any need of advice for any analytics/Data Science/Machine Learning based project. Feel free to reach out to me on LinkedIn and you may use my Github/Kaggle repository of python and R code templates and already-made visualization’s for implementation or reference.

Data Scientist 59

Data Scientist Natural Language Processing Data Science Linked Data 59

Mlearning.ai

MARCH 15, 2023

Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit — Part 2 of 3 A comprehensive guide to develop machine learning applications from start to finish. Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application.

Python 52

Python Machine Learning Data Extraction Data Analysis 52

John Snow Labs

AUGUST 31, 2023

This study introduces LangTest , an innovative open-source Python library crafted to empower developers in the assessment and enhancement of Natural Language Processing (NLP) models. Supported Data: [link] data Testing in 3 lines of Code !pip 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

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

script to retrieve the JumpStart model artifacts and deploy the pre-trained model to your local machine: python train_model.py 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) Run the train_model.py

BERT 80

BERT Metadata Natural Language Processing ML 80