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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
120 subscribers
DE & ML Digest
ML
Is it still worth it to build a Visual Search Engine from Scratch?
Medium
Is it still worth it to build a Visual Search Engine from Scratch?
The long journey of developing a custom model cut short by Google Vision API Product Search
DE & ML Digest
ML
Learn To Reproduce Papers: Beginner’s Guide
KDnuggets
Learn To Reproduce Papers: Beginner’s Guide
Step-by-step instructions on how to understand Deep Learning papers and implement the described approaches.
DE & ML Digest
ML
Tracking Your Machine Learning Workflows With MLMD
Medium
Tracking Your Machine Learning Workflows With MLMD
Record, analyze, and retrieve metadata associated with your ML development projects
DE & ML Digest
ML
Save Sarah Connor with Data Science
KDnuggets
Save Sarah Connor with Data Science - KDnuggets
Data science and data privacy are deeply interwoven, and must be carefully considered by practitioners. In comparing the Safe Harbour and Expert Determination data obfuscation approaches, Safe Harbour has been very popular among data engineers but has fundamental…
DE & ML Digest
ML
Do-Calculus and Continuous Distributions
Medium
Do-Calculus and Continuous Distributions
Continuous distributions pose zero conceptual difficulties for the Do-Calculous, but getting the DAG may be the easy part
DE & ML Digest
ML
Guide To Finding The Right Predictive Maintenance Machine Learning Techniques
KDnuggets
Guide To Finding The Right Predictive Maintenance Machine Learning Techniques - KDnuggets
What happens to a life so dependent on machines, when that particular machine breaks down? This is precisely why there’s a dire need for predictive maintenance with machine learning.
DE & ML Digest
ML
Why You’ll Regret Training ML Models
Medium
Why You’ll Regret Training ML Models
Before thinking about these 6 things
DE & ML Digest
ML
Exploratory Data Analysis (EDA) in Python using SQL and Seaborn (SNS)
Medium
Exploratory Data Analysis (EDA) in Python using SQL and Seaborn (SNS)
Exploratory Data Analysis (EDA) is an approach of analyzing datasets to summarize their main characteristics, often using statistical…
DE & ML Digest
ML
Solution of a Regression Problem with Machine Learning in Python using Sklearn and XGBoost and…
Medium
Solution of a Regression Problem with Machine Learning in Python using Sklearn and XGBoost and…
Machine Learning is commonly used to solve regression problems. More specifically, the application of a regression algorithm to a…
DE & ML Digest
ML
Deciding Which Tasks Should Train Together in Multi-Task Neural Networks
Google AI Blog
Deciding Which Tasks Should Train Together in Multi-Task Neural Networks
Posted by Christopher Fifty, Research Engineer, Google Research, Brain Team Many machine learning (ML) models typically focus on learning...
DE & ML Digest
ML
365 Data Science courses free until 18 November
KDnuggets
365 Data Science courses free until 18 November - KDnuggets
365 Data Science, an online educational platform providing beginner-to-advanced courses for data science and business analytics professionals, will unlock the entire library of courses, hands-on exercises, certificate exams, and resume builder for a full…
DE & ML Digest
ML
The Four Pillars of Data Observability
Medium
The Four Pillars of Data Observability
What is necessary and sufficient to understand the state of your data?
DE & ML Digest
Big Data
Готовим Json в Apache NiFi или снова Jolt Transform
Хабр
Готовим Json в Apache NiFi или снова Jolt Transform
На текущем проекте у нас начинает активно использоваться Apache NiFi в качестве основного ETL/ELT -инструмента. NiFi используется для получения данных из различных источников (Kafka, REST, HDFS) и...
DE & ML Digest
Big Data
Citymobil Data Meetup №3
Хабр
Citymobil Data Meetup №3
Ситимобил каждый месяц проводит митапы о применении Data science в городских и геосервисах, логистике и технологиях умных городов.На митапе мы рассмотрим разные особенности применения современных...
DE & ML Digest
Big Data
Amazon Redshift Research Project : Bytedict Encoding (white paper, PDF)
reddit
Amazon Redshift Research Project : Bytedict Encoding (white paper,...
https://www.amazonredshiftresearchproject.org/white_papers/downloads/bytedict_encoding.pdf The `bytedict` dictionary contains up to 256 entries,...
DE & ML Digest
Big Data
Why OLAP Persists in the Era of Big Data Analytics
reddit
Why OLAP Persists in the Era of Big Data Analytics
Data is the lifeblood of businesses and institutions everywhere. It allows for more informed decision-making and, ultimately, improves...
DE & ML Digest
Big Data
6 Ways Predictive Data Makes Smart Real Estate Investors Rich
reddit
6 Ways Predictive Data Makes Smart Real Estate Investors Rich
Posted in r/bigdata by u/Big_Data_Path • 1 point and 0 comments
DE & ML Digest
Big Data
[Перевод] Одержимость контролируемыми входными метриками
Хабр
Одержимость контролируемыми входными метриками
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
Help to implement a pre-existing NLI model
reddit
Help to implement a pre-existing NLI model
Hi, I am trying to implement this pre-existing NLI model on some text. I don't want to do any fine-tuning. I am wondering if anyone can give me a...
DE & ML Digest
ML
Bayesian Approximated Neural Network Example via JAX— Flexible Parameter Distributions for ODEs
Medium
Bayesian Approximated Neural Network Example via JAX
Working proof-of-concept for using Bayesian approximated neural networks via JAX for deriving flexible parameter distributions of ODEs.
DE & ML Digest
ML
The Bayesians Have Won Data Science
Medium
The Bayesians Have Won Data Science
Frequentists want to repeat the experiment
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