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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
Big Data
Automation Anywhere acquires FortressIQ to boost process mining
VentureBeat
Automation Anywhere acquires FortressIQ to boost process mining
Automation Anywhere has agreed to acquire FortressIQ in a deal that'll join the former's platform with advanced process mining tools.
DE & ML Digest
Big Data
Open source NLP is fueling a new wave of startups
VentureBeat
Open source NLP is fueling a new wave of startups
A growing number of startups are offering open source language models as a service, competing with heavyweights like OpenAI.
DE & ML Digest
ML
Generalized Attention Mechanism: BigBird’s Theoretical Foundation and General Transformers Models
Medium
Generalized Attention Mechanism: BigBird’s Theoretical Foundation and General Transformers Models
As a little background, BigBird is a model released from Google Research relatively recently that can handle much lengthier sequences of…
DE & ML Digest
ML
The Definitive Way to Deal With Continuous Variables in Machine Learning
Medium
The Definitive Way to Deal With Continuous Variables in Machine Learning
A combination of statistical methods and engineering is key. Let’s see why and how KBinsDiscretizer should be the ML engineer’s friend.
DE & ML Digest
ML
Stuck trying to get PySpark to work in your Data Science environment? Here is another way.
Medium
Stuck trying to get PySpark to work in your Data Science environment? Here is another way.
How to set up a PySpark development environment with Docker and Jupyter Notebook
DE & ML Digest
ML
A Comprehensive Guide on Markov Chain
Analytics Vidhya
A Comprehensive Guide on Markov Chain
In this guide on Markov Chain, several value-able ideas have been developed which are paramount in the field of data analytics.
DE & ML Digest
ML
Introduction to Linear Model for Optimization
Analytics Vidhya
Introduction to Linear Model for Optimization
Linear Model for Optimization is concerned with finding a suitable model. One of the goals is to reduce generalization errors.
DE & ML Digest
ML
6 Predictive Models Every Beginner Data Scientist Should Master
KDnuggets
6 Predictive Models Every Beginner Data Scientist Should Master
Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely…
DE & ML Digest
ML
Real-Life Applications of Data Science in Education
Analytics Vidhya
Real-Life Applications of Data Science in Education
In this article, we will learn about various applications of data science that are used in the education industry.
DE & ML Digest
ML
AI and climate change have a complicated relationship
KDnuggets
AI and climate change have a complicated relationship - KDnuggets
Learn about the importance of environmental AI and its carbon impact in this comprehensive review.
DE & ML Digest
ML
Celebrating a Year of Data Science
Medium
Celebrating a Year of Data Science
Our weekly selection of must-read Editors’ Picks and original features
DE & ML Digest
ML
How to Train Time Series Forecasting Faster Using Ray, part 2 of 2
Medium
How to Train Time Series Forecasting Faster Using Ray, part 2 of 2
Time Series Forecasting using an LSTM version of RNN with PyTorch Forecasting and Torch Lightning
DE & ML Digest
ML
Bring Your Childhood Drawings To Life Within Seconds— A Demo Of Meta’s Creative AI
Medium
Bring Your Childhood Drawings To Life Within Seconds— A Demo Of Meta’s Creative AI
Creative AI is on the rise. In a matter of literally just seconds, this brand-new tool by the Meta Demo Lab transforms a static drawing to…
DE & ML Digest
ML
Top 5 Single-cell Genomics Papers of 2021
Medium
Top 5 Single-cell Genomics Papers of 2021
A look back at some exciting papers this year in the age of Big Data
DE & ML Digest
ML
How to Structure your Data Science Notebook to be Easy to Follow
Medium
How to Structure your Data Science Notebook to be Easy to Follow
Clear steps to create an organized notebook, including examples
DE & ML Digest
ML
Cutting Down Implementation Time by Integrating Jupyter and KNIME
KDnuggets
Cutting Down Implementation Time by Integrating Jupyter and KNIME - KDnuggets
Are you a KNIME fan or a Jupyter fan? Well, here you don’t have to choose.
DE & ML Digest
ML
5 Things I Wish I Knew Before Becoming a Data Scientist
Medium
5 Key Things I Wish I Knew Before Becoming a Data Scientist
Things that I regret not doing earlier in my data science career.
DE & ML Digest
Big Data
ACID vs BASE: Comparison of two Design Philosophies
Blog | iamluminousmen
ACID vs BASE: Comparison of two Design Philosophies
Discover the differences between ACID and BASE design philosophies - from strong consistency to eventual consistency. Find out which suits your project better!
DE & ML Digest
Big Data
CAP and PACELC theorems in plain English
Blog | iamluminousmen
CAP and PACELC Theorems in Plain English
Understand the CAP and PACELC theorems in distributed systems. Learn how to navigate tradeoffs between consistency, availability, and partition tolerance for optimal system design.
DE & ML Digest
Big Data
Architecturally Significant Requirements
Blog | iamluminousmen
Architecturally Significant Requirements
Discover the crucial Architecturally Significant Requirements (ASR) for distributed systems, including Availability, Durability, Resiliency, Reliability, and Scalability. Learn how these factors impact system design and performance.
DE & ML Digest
Big Data
Explaining the mechanics of Spark caching
Blog | iamluminousmen
Explaining the mechanics of Spark caching
Caching... There is so much in that word - the pain of invalidation and the joy of reusing computation. In Spark, this is known as an optimization technique
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