DE & ML Digest
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Collection of all articles on Data Engineering and Machine Learning
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DE & ML Digest
119 subscribers
DE & ML Digest
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Three Python Built-In Function Tricks Reducing Our Workloads
Medium
Three Python Built-In Function Tricks Reducing Our Workloads
A hidden gem — Python functools + decorator
DE & ML Digest
ML
How to Learn Data Science Interactively with Python?
Medium
How to Learn Data Science Interactively with Python?
A JupyterLab extension generates code on the fly while you work on your analysis.
DE & ML Digest
ML
6 New Awesome Features in Python 3.10
Medium
6 New Awesome Features in Python 3.10
The new Python version is out with interesting new features.
DE & ML Digest
Big Data
Big data: Everything management students need to know…?
reddit
Big data: Everything management students need to know…?
What should management students (UG level) learn about Big Data?
DE & ML Digest
Big Data
Data Platform: Building an Enterprise CDC Solution
DZone
Data Platform: Building an Enterprise CDC Solution
Learn how to design and build a change data capture solution with open source tools like Debezium and how to use it to migrate data to a new platform.
DE & ML Digest
ML
How to Easily Set Up Python on Any M1 Mac
Medium
How to Easily Set Up Python on Any M1 Mac
Two simple ways to properly install Python and all data science packages on M1 Mac
DE & ML Digest
ML
Anatomy of a dbt project
Medium
Anatomy of a dbt project
Some basic concepts and project structure to help you get started with a dbt project.
DE & ML Digest
ML
Data Platforms — Liberate Data From Your Legacy Systems
Medium
Data Platforms — Liberate Data From Your Legacy Systems
The potential of data analytics is often held back by ancient and diverse legacy system scattered across the company. However, data and…
DE & ML Digest
ML
Write Ultra-Concise Code with Python collections
Medium
Write Ultra-Concise Code with Python collections
The built-in Python collections library is a treasure trove of useful tools. I will focus on the two structures that I find the most…
DE & ML Digest
ML
Establishing Causality: Part 3
Medium
Establishing Causality: Part 3
Regression discontinuity designs
DE & ML Digest
ML
Keep Streamlit Deployment Simple Using streamlit-heroku
Medium
Keep Streamlit Deployment Simple Using streamlit-heroku
Learn an easy method to deploy your Streamlit apps on Heroku
DE & ML Digest
Big Data
The Struggle Of Being A Data Engineer - Should You Become a Data Engineer
reddit
The Struggle Of Being A Data Engineer - Should You Become a Data...
Posted in r/bigdata by u/SeattleDataGuy • 1 point and 0 comments
DE & ML Digest
Big Data
The Distinct Impact of Big Data Analytics In Transport & Logistics
reddit
The Distinct Impact of Big Data Analytics In Transport & Logistics
Posted in r/bigdata by u/Big_Data_Path • 1 point and 0 comments
DE & ML Digest
Big Data
PrestoDB Query on Kafka, Oracle, and PostgreSQL
dzone.com
PrestoDB Query on Kafka, Oracle, and PostgreSQL - DZone Big Data
We can call PrestoDB a distributed SQL query engine developed by Facebook. In this article, we will learn how to add multiple sources to the Presto catalog?
DE & ML Digest
ML
An Introduction to Problem-Solving using Search Algorithms for Beginners
Analytics Vidhya
An Introduction to Problem-Solving using Search Algorithms for Beginners
Explore essential search algorithms. Discover their inner workings and applications for data analysis and problem-solving.
DE & ML Digest
ML
Query Your Pandas DataFrames with SQL
KDnuggets
Query Your Pandas DataFrames with SQL - KDnuggets
Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.
DE & ML Digest
ML
Exploring Data Visualization in Altair: An Interesting Alternative to Seaborn
Analytics Vidhya
Exploring Data Visualization in Altair: An Interesting Alternative to Seaborn
In this article, we will compare Seaborn to Altair. For this comparison, we will create the same set of visualizations using both libraries
DE & ML Digest
ML
AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch
KDnuggets
AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch - KDnuggets
AutoML is a broad category of techniques and tools for applying automated search to your automated search and learning to your learning. In addition to Auto-Sklearn, the Freiburg-Hannover AutoML group has also developed an Auto-PyTorch library. We’ll use…
DE & ML Digest
ML
Top Stories, Oct 4-10: How to Build Strong Data Science Portfolio as a Beginner; 38 Free Courses on Coursera for Data Science
KDnuggets
Top Stories, Oct 4-10: How to Build Strong Data Science Portfolio as a Beginner; 38 Free Courses on Coursera for Data Science …
Also: Data science SQL interview questions from top tech firms; Here’s Why You Need Python Skills as a Machine Learning Engineer; 8 Must-Have Git Commands for Data Scientists; Introduction to PyTorch Lightning
DE & ML Digest
ML
Scaling human oversight of AI systems for difficult tasks – OpenAI approach
KDnuggets
Scaling human oversight of AI systems for difficult tasks – OpenAI approach - KDnuggets
The foundational idea of Artificial Intelligence is that it should demonstrate human-level intelligence. So, unless a model can perform as a human might do, its intended purpose is missed. Here, recent OpenAI research into full-length book summarization focuses…
DE & ML Digest
ML
Google at ICCV 2021
Google AI Blog
Google at ICCV 2021
Posted by Cat Armato, Program Manager, Google Research The International Conference on Computer Vision 2021 (ICCV 2021), one of the worl...
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