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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
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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?
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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
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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
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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
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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…
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A Tour of Attention-Based Architectures
DE & ML Digest
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3 Ways To Perform Quick Exploratory Data Analysis In Python
Medium
3 Ways To Perform Quick Exploratory Data Analysis In Python
Gain a better understanding of your data
DE & ML Digest
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8+ Reinforcement Learning Project Ideas
Medium
8+ Reinforcement Learning Project Ideas
Looking for a way to get practical, hands-on experience with reinforcement learning? Here are some project ideas to inspire you.
DE & ML Digest
ML
TT-SRN: Transformer-based Video Instance Segmentation Framework
Medium
TT-SRN: Transformer-based Video Instance Segmentation Framework
Joint Object Detection, Instance Segmentation, Object Tracking, and Classification in Video Domain
DE & ML Digest
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Kalman Filtering: A Simple Introduction
Medium
Kalman Filtering: A Simple Introduction
The optimal online learning algorithm for linear systems with Gaussian noise
DE & ML Digest
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Demystified: Wasserstein GAN with Gradient Penalty
Medium
Demystified: Wasserstein GAN with Gradient Penalty
Why is Gradient Penalty better than gradient clipping? What is Gradient Penalty and how do we implement it?
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