Friends! Tomorrow we will publish the new issue of our digest, don't miss it! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3zdT0Ev

📢 Мы в эфире. Начинаем Open Data Science Odessa Meetup #4. Будем говорить про то, как NLP поменялся за последние 10 лет, а также про опыт участия в ML соревнованиях. Присоединяйтесь!
https://bit.ly/3zexfEz

📌Understanding ROC Curves with Python

In this article by Lucas Soares, you'll learn how to design and build the basic intuition for receiver operating characteristics (ROC) curve with Python.
https://bit.ly/3Emjes3

📢 Мы в эфире. Начинаем вебинара "Re-usable pipelines for ML projects with DVC", на котором поговорим про DVC и переиспользование ML пайплайнов между проектами.. Присоединяйтесь!
https://bit.ly/2VNfoH5

💡Simulating Traffic Flow in Python

Predicting traffic is a challenging task with multiple variables. In this article, you'll explore the methods of simulating traffic by implementing a microscopic traffic model.
https://bit.ly/3zfJuAr

The Data Phoenix Events team invites you all on September 22 to our "The A-Z of Data" webinars.
The topic — From Research to Product with Hydrosphere.

With our speaker Andrii Latysh - Technical Product Owner in ML/DS at Provectus; Founder & Coordinator at Odyssey - Odessa Data Science Community; Machine Learning/Data Science Engineer and Consultant; Lecturer; Speaker; PhD student.

For more info and registration tap the link 👉🏻
https://bit.ly/3zpkK9i

Hey guys! Sorry for the short delay with this week's issue of the digest. We're focused on webinars right now, just to put out higher-quality content for you. Thank you for attending the webinars, by the way! But now it’s time to read and enjoy the digest!

In addition, we'd like to remind you that we'll have several events soon:

1) September 22 - Webinar "From research to the product with Hydrosphere"
2) September 29 - Webinar "Pachyderm in production: lessons learned"

Kindly register to listen to our awesome speakers; we'd love to see you anytime!

NOTE: If you missed any of our previous webinars, they're available on our YouTube channel. Please, take a look and make sure to comment. With love from Data Phoenix Team!
https://bit.ly/2Z1d3t7
https://bit.ly/3kj70sn)

📌From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation

The authors innovate the widely used high-resolution image segmentation pipeline, in which an ultra-high resolution image is partitioned into regular patches for local segmentation and then the local results are merged into a high-resolution semantic mask.
https://bit.ly/2XpK5T1
https://bit.ly/2XpK5T1)

​​Here comes a list of 10 positions available this week, enjoy!
1) Senior/Lead ML Engineer - Data Science UA, Kyiv, Remote
https://bit.ly/3kln8tm
2) Deep Learning Engineer - Reface, Kyiv, Remote
https://bit.ly/2Z4p0ON
3) Data Science Engineer - Deloitte, Kyiv, Remote
https://bit.ly/3ArxBcc
4) Senior Data Engineer - Lohika, Odesa, Remote https://bit.ly/3Corxlf
5) ML Engineer - Scalarr, Kyiv, Kharkiv, Ukraine (Remote) https://bit.ly/3Cglsr8

For the other 5 positions click 👉🏻 https://bit.ly/39gWZFx

Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive!

​​Good morning friends! Here's your dose of positivity for this Sunday!🤗
https://bit.ly/3zltGfF

💡A Lightweight Data Validation Ecosystem with R, GitHub, and Slack

Data quality monitoring is an essential part of any data analysis or business intelligence workflow. In this article, you'll learn how to build a data validation system with at-hand tools.
https://bit.ly/3CtHvea
https://bit.ly/3CtHvea)

📌Parsing Table Structures in the Wild

This paper tackles the problem of table structure parsing from images in the wild. It establishes a practical table structure parsing system for scenarios where tabular input images are taken or scanned with severe deformation, bending, or occlusions.
https://bit.ly/2XIrjH5
https://bit.ly/2XIrjH5)

💡ML Metadata Store: What It Is, Why It Matters, and How to Implement It

Learn about ML metadata stores, how they are different from other tools used for building models, and how they can help you build and deploy models with more confidence.
https://bit.ly/3Cz3Tmq
https://bit.ly/3Cz3Tmq)

📚Learn Data Science with R

This book for data science beginners covers statistics, R, graphing, and machine learning. It features many practical examples that will help you put theory into practice.
https://bit.ly/3kr6HM2
https://bit.ly/3kr6HM2)

Hi friends!
Don't forget that today we are going to have our event with a topic — "From Research to Product with Hydrosphere"
And our speaker is Andrii Latysh - Technical Product Owner in ML/DS at Provectus; Founder & Coordinator at Odyssey - Odessa Data Science Community; Machine Learning/Data Science Engineer and Consultant; Lecturer; Speaker; PhD student.

Participation is free, but pre-registration is required.
https://bit.ly/3EIff9i

See you in a while today at 19:00 GMT+3
https://bit.ly/3AAIf0j)

📢 Мы в эфире. Начинаем вебинар "From research to product with Hydrosphere", на котором поговорим про превращение ML исследования в продукт с использованием Hydrosphere. Присоединяйтесь - https://bit.ly/3hZASYW

📌GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph

GeneAnnotator is a semi-automatic scene graph annotation tool for images that allows human annotators to describe the existing relationships in the visual scene in the form of directed graphs.
https://bit.ly/3kw8WxF
https://bit.ly/3kw8WxF)

Great news! Data Phoenix just published the latest issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3zBY7hE

💡GPT-4 Will Have 100 Trillion Parameters — 500x the Size of GPT-3

In this overview article, you'll learn about the potential (and limits) of GPT-4, an autoregressive language model that is designed to outperform GPT-3. Maybe be released next year!

https://bit.ly/3o6YSxc

Hey friends!
We would like to remind you about our YouTube channel where you can find all the footage from our latest events. Data Phoenix team understands that there are special circumstances that can make you miss our live event. That's why we uploaded all the videos online so you can watch them later and don't miss a thing! Tap the link and enjoy!
https://bit.ly/2XHYGJF

📌LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

LightAutoML is an AutoML system developed for a large European financial services company and that has already been deployed in numerous applications. The paper presents an overview of it.

https://bit.ly/3zF22uq