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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
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Assumptions of Logistic Regression, Clearly Explained
Medium
Assumptions of Logistic Regression, Clearly Explained
Understand and implement assumption checks (in Python) for one of the most important data science modeling techniques
DE & ML Digest
ML
7 Ways to Make Your Python Project Structure More Elegant
Medium
7 Ways to Make Your Python Project Structure More Elegant
Here are the best practices for a manageable, scalable, and easily understandable python project structure.
DE & ML Digest
Big Data
Apache Flink: Apache Flink 1.14.0 Release Announcement
reddit
Apache Flink: Apache Flink 1.14.0 Release Announcement
Posted in r/bigdata by u/Marksfik • 1 point and 0 comments
DE & ML Digest
Big Data
Распознаем медицинские тексты
Хабр
Распознаем медицинские тексты
Это третья публикация в рамках цикла статей по изучению московской базы ковидных больных. В настоящей работе были созданы векторные представления медицинских терминов, которые теперь доступны на...
DE & ML Digest
Big Data
Laptop as big data/machine learning/programmer developer
reddit
Laptop as big data/machine learning/programmer developer
Hey there! I am going to study big data in about 1/2 years and I am looking for a good laptop for programming. I'd like to know how necessary a...
DE & ML Digest
Big Data
KotlinDL 0.3: поддержка ONNX, Object Detection API, 20+ новых моделей в ModelHub, и много новых слоев
Хабр
KotlinDL 0.3: поддержка ONNX, Object Detection API, 20+ новых моделей в ModelHub, и много новых слоев
Представляем версию 0.3 библиотеки глубокого обучения KotlinDL!Вас ждет множество новых фич: новые модели в ModelHub (включая модели для обнаружения объектов и распознавания лиц), возможность...
DE & ML Digest
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Two Simple Things You Need to Steal from Agile for Data and Analytics Work
Medium
Two Simple Things You Need to Steal from Agile for Data and Analytics Work
Peer Review and Definition of Done: Small Changes, BIG Impact
DE & ML Digest
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7 Essential Python Skills for Research
Medium
7 Essential Python Skills for Research
Tips and Tricks from a PhD Student
DE & ML Digest
ML
How I Redesigned over 100 ETL into ELT Data Pipelines
Medium
How I Redesigned over 100 ETL into ELT Data Pipelines
Level up your Data Pipelines!
DE & ML Digest
ML
Parallelizing Python Code
KDnuggets
Parallelizing Python Code - KDnuggets
This article reviews some common options for parallelizing Python code, including process-based parallelism, specialized libraries, ipython parallel, and Ray.
DE & ML Digest
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Phishing classification with an ensemble model
Medium
Phishing classification with an ensemble model
From exploration to deployment.
DE & ML Digest
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High Performance Audio Processing with Pedalboard and tf.data
Medium
High Performance Audio Processing with Pedalboard and tf.data
How fast can we get processing audio data with Pedalboard and SoxBindings using tf.data?
DE & ML Digest
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How to Deploy on Kubernetes in Simple Words
Medium
How to Deploy on Kubernetes in Simple Words
A playbook for deploying a web application on a Kubernetes cluster
DE & ML Digest
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Machine Translation Evaluation with sacreBLEU and BERTScore
Medium
Machine Translation Evaluation with sacreBLEU and BERTScore
Two useful packages for evaluating MT models performance
DE & ML Digest
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The Power of Your Health Data Analysis
Medium
The Power of Your Health Data Analysis
The immense possibility of personal wellbeing analytics
DE & ML Digest
ML
Install custom Python Libraries from private PyPI on Databricks
Medium
Install custom Python Libraries from private PyPI on Databricks
Step by step guide on how to integrate your private PyPI repositories on Databricks clusters.
DE & ML Digest
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How VSCode has leaped forward as Jupyter Notebook Editor
Medium
How VSCode has leaped forward as Jupyter Notebook Editor
The improved Notebooks API brings several strengths of VSCode in Python editing to Jupyter Notebooks
DE & ML Digest
Big Data
Pandas API on Upcoming Apache Spark
™
3.2
Databricks
How to Execute Pandas Workloads in a Distributed Manner With Apache Spark
Learn how pandas users can run their workloads with distributed execution on a Spark cluster and how pandas API on Spark benefits users.
DE & ML Digest
Big Data
Do you agree?
reddit
Do you agree?
Posted in r/bigdata by u/D3Vtech • 49 points and 6 comments
DE & ML Digest
ML
Understanding Simple Recurrent Neural Networks In Keras
MachineLearningMastery.com
Understanding Simple Recurrent Neural Networks in Keras - MachineLearningMastery.com
This tutorial is designed for anyone looking for an understanding of how recurrent neural networks (RNN) work and how to use them via the Keras deep learning library. While the Keras library provides all the methods required for solving problems and building…
DE & ML Digest
ML
A Tour of Attention-Based Architectures
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