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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
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DE & ML Digest
ML
Cliff-Walking Problem With The Discrete Policy Gradient Algorithm
Medium
Cliff-Walking Problem With The Discrete Policy Gradient Algorithm
A full implementation of the REINFORCE algorithm in Python. The steps are performed manually to illustrate the inner workings of the…
DE & ML Digest
ML
Tracking Your Machine Learning Project Changes with Neptune
Analytics Vidhya
Tracking Your Machine Learning Project Changes with Neptune
In this article we will be looking into how to Track Your Machine Learning Project Changes with Neptune and keep track of your work
DE & ML Digest
Big Data
Data Science с нуля. Большая подборка курсов
Хабр
Подборка бесплатных курсов для тех, кто делает первые шаги в Data Science
Статья провалидирована и обновлена автором 26.05.2023 Привет, читатель! Меня зовут Артём Сайгин, я веду телеграм канал Growth lab , в котором делюсь опытом роста IT-продуктов. Делал подборку...
DE & ML Digest
Big Data
[Перевод] Вот как Амазон измеряет свою эффективность
Хабр
Вот как Амазон измеряет свою эффективность
Этот перевод создан для телеграм-канала Инжиниринг Данных . И, так как, одной из задач создателей телеграм-канала и аналитического курса DataLearn является популяризация грамотной...
DE & ML Digest
Big Data
Собеседование на позицию Data Engineer в X5: чего ждать и как лучше подготовиться (часть 2)
Хабр
Собеседование на позицию Data Engineer в X5: чего ждать и как лучше подготовиться (часть 2)
В предыдущей статье мы поговорили про роль Data Engineer в Х5, какие задачи он решает и с каким технологическим стеком работает. Рассмотрели структуру собеседования, основные направления, по которым...
DE & ML Digest
Big Data
How to Use RLS Roles and Filter Expressions for Dynamic User-Based Visibility in Power BI?
reddit
How to Use RLS Roles and Filter Expressions for Dynamic User-Based...
Posted in r/bigdata by u/Big_Data_Path • 1 point and 0 comments
DE & ML Digest
ML
Humidified Coffee for Faster Degassing and Better Espresso
Medium
Humidified Coffee for Faster Degassing and Better Espresso
Exploring the effects of humidity over multiple roasts
DE & ML Digest
ML
Optimize ML modeling using a timing decorator
Medium
Optimize ML modeling using a timing decorator
Record the execution time of ML training using timing decorators and use it for productive data science and ML optimization.
DE & ML Digest
ML
Stop Using Pandas to Read/Write Data — This Alternative is 7 Times Faster
Medium
Stop Using Pandas to Read/Write Data — This Alternative is 7 Times Faster
Read and write CSV datasets 7 times faster than with Pandas
DE & ML Digest
ML
Find the Best-Matching Distribution for Your Data Effortlessly
KDnuggets
Find the Best-Matching Distribution for Your Data Effortlessly - KDnuggets
How to find the best-matching statistical distributions for your data points — in an automated and easy way. And, then how to extend the utility further.
DE & ML Digest
ML
A guide to agile data mastering with AI
Medium
A guide to agile data mastering with AI
What is master data?
DE & ML Digest
ML
Beginner-Friendly Virtual Environment Management — Anaconda + PyCharm
Medium
Beginner-Friendly Virtual Environment Management — Anaconda + PyCharm
Set up your first virtual environment — the no-hassle way
DE & ML Digest
ML
Introduction to AutoEncoder and Variational AutoEncoder (VAE)
KDnuggets
Introduction to AutoEncoder and Variational AutoEncoder (VAE) - KDnuggets
Autoencoders and their variants are interesting and powerful artificial neural networks used in unsupervised learning scenarios. Learn how autoencoders perform in their different approaches and how to implement with Keras on the instructional data set of…
DE & ML Digest
ML
Well Log Data Outlier Detection With Machine Learning and Python
Medium
Well Log Data Outlier Detection With Machine Learning and Python
Identification of outliers is an essential step in the petrophysical machine learning workflow
DE & ML Digest
ML
3 Not So Common Yet Functional Python Libraries for Data Science
Medium
3 Not So Common Yet Functional Python Libraries for Data Science
That make your life easier.
DE & ML Digest
ML
Discovering entity connections insights using Network Analytics (Part 2)
Medium
Discovering entity connections insights using Network Analytics (Part 2)
Convert relational data to graph, build visualization using NetworkX
DE & ML Digest
ML
The MLOps Engineer Role: A Gentle Introduction
Medium
The MLOps Engineer Role: A Gentle Introduction
Your job doesn’t start and end with model building
DE & ML Digest
ML
Deploying Serverless spaCy Transformer Model with AWS Lambda
KDnuggets
Deploying Serverless spaCy Transformer Model with AWS Lambda - KDnuggets
A step-by-step guide on how to deploy NER transformer model serverless.
DE & ML Digest
ML
The Life of a Data Analyst — Part 2
Medium
The Life of a Data Analyst — Part 2
As told in (more) drawings
DE & ML Digest
ML
7 hacks to get your first data engineer job
☄
Medium
7 Things You Need To Know If You Want to Become a Data Engineer
☄
Strategies to help you to land your first Data Engineer job
DE & ML Digest
ML
PCA: Beyond Dimensionality Reduction
Medium
PCA: Beyond Dimensionality Reduction
Learn how to use PCA algorithm to find variables that vary together
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