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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
Big Data
GPU-accelerated Sentiment Analysis Using Pytorch and Huggingface on Databricks
Databricks
GPU-accelerated Sentiment Analysis Using Pytorch and Huggingface on Databricks
Learn more about the Pytorch-based GPU-accelerated sentiment analysis package from Huggingface and how it leverages the Databricks platform to simplify and scale the analysis of text for sentiment.
DE & ML Digest
Big Data
Management is not a promotion
Blog | iamluminousmen
Management is not a promotion
Leadership skills != subject matter expertise
DE & ML Digest
Big Data
Turning 2 Trillion Data Points of Traffic Intelligence into Critical Business Insights
Databricks
Simplifying Geospatial Data Analysis With Python Using Databricks
Learn how we optimized our workflow at Intelematics by creating a library to work with geospatial data using python on the Databricks Lakehouse platform.
DE & ML Digest
Big Data
Moneyball 2.0: Real-time Decision Making With MLB’s Statcast Data
Databricks
Moneyball 2.0: Real-time Decision Making With MLB’s Statcast Data
The Oakland Athletic
DE & ML Digest
Big Data
New to Data Analysis- need advice
reddit
New to Data Analysis- need advice
22F here- working through my MBA while working full time as a senior purchasing specialist. My school (not an ivy league, but a good school...
DE & ML Digest
Big Data
Identity verification startup Incode raises $220M
VentureBeat
Identity verification startup Incode raises $220M
Incode, a company developing an AI-powered identity verification product, has raised $220 million in venture capital.
DE & ML Digest
Big Data
AI-powered customer engagement platform MoEngage raises $30M to grow operations
VentureBeat
AI-powered customer engagement platform MoEngage raises $30M to grow operations
MoEngage, a startup developing an AI-driven customer engagement platform, has closed a $30 million venture capital round.
DE & ML Digest
Big Data
[Перевод] Что такое хранилище признаков?
Хабр
Что такое хранилище признаков?
Об авторах: Майк Дель Бальсо, генеральный директор и сооснователь компании Tecton Виллем Пиенаар, создатель хранилища признаков FeastСпециалисты по работе с данными постепенно понимают, что для...
DE & ML Digest
Big Data
VentureBeat
Dragonboat nabs $12M to help companies manage product development
Dragonboat, a startup developing a product management platform, has raised $12 million in venture capital funding.
DE & ML Digest
ML
PyCaret 2.3.5 Is Here! Learn What’s New
KDnuggets
PyCaret 2.3.5 Is Here! Learn What’s New - KDnuggets
Read about the new functionalities added in PyCaret’s recent release.
DE & ML Digest
ML
A Spreadsheet that Generates Python: The Mito JupyterLab Extension
KDnuggets
A Spreadsheet that Generates Python: The Mito JupyterLab Extension - KDnuggets
You can call Mito into your Jupyter Environment and each edit you make will generate the equivalent Python in the code cell below.
DE & ML Digest
ML
How to Build a Knowledge Graph with Neo4J and Transformers
KDnuggets
How to Build a Knowledge Graph with Neo4J and Transformers
Learn to use custom Named Entity Recognition and Relation Extraction models.
DE & ML Digest
ML
Sentiment Analysis with KNIME
KDnuggets
Sentiment Analysis with KNIME - KDnuggets
Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.
DE & ML Digest
ML
Top Stories, Nov 22-28: Most Common SQL Mistakes on Data Science Interviews
KDnuggets
Top Stories, Nov 22-28: Most Common SQL Mistakes on Data Science Interviews - KDnuggets
Also: 19 Data Science Project Ideas for Beginners; How to Build a Knowledge Graph with Neo4J and Transformers; Data Scientists: How to Sell Your Project and Yourself; Where NLP is heading
DE & ML Digest
ML
Why Machine Learning Engineers are Replacing Data Scientists
KDnuggets
Why Machine Learning Engineers are Replacing Data Scientists
The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.
DE & ML Digest
ML
New Poll: What Percentage of Your Machine Learning Models Have Been Deployed?
KDnuggets
New Poll: What Percentage of Your Machine Learning Models Have Been Deployed? - KDnuggets
Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.
DE & ML Digest
ML
Building Massively Scalable Machine Learning Pipelines with Microsoft Synapse ML
KDnuggets
Building Massively Scalable Machine Learning Pipelines with Microsoft Synapse ML - KDnuggets
The new platform provides a single API to abstract dozens of ML frameworks and databases.
DE & ML Digest
ML
Clustering in Crowdsourcing: Methodology and Applications
KDnuggets
Clustering in Crowdsourcing: Methodology and Applications - KDnuggets
As a result of the efforts outlined in this article, we confirmed that clustering through crowdsourcing is indeed possible and works impressively well.
DE & ML Digest
ML
KDnuggets: Personal History and Nuggets of Experience
KDnuggets
KDnuggets: Personal History and Nuggets of Experience - KDnuggets
After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience…
DE & ML Digest
ML
Put Responsible AI into Practice—attend the digital event on December 7
KDnuggets
Put Responsible AI into Practice— attend the digital event on December 7 - KDnuggets
Learn best practice guidelines for building AI solutions responsibly. Join AI experts from Microsoft and BCG at Put Responsible AI into Practice—a free Azure digital event on December 7.
DE & ML Digest
ML
Sentiment Analysis API vs Custom Text Classification: Which one to choose?
KDnuggets
Sentiment Analysis API vs Custom Text Classification: Which one to choose? - KDnuggets
In this article, we are going to compare the sentiment extraction performance between Sentiment Analysis engines and Custom Text classification engines. The idea is to show pros and cons of these two types of engines on a concrete dataset.
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