DE & ML Digest
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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
Emotion Detection using Bidirectional LSTM and Word2Vec
Analytics Vidhya
Emotion Detection using Bidirectional LSTM and Word2Vec
Emotion detection is already implemented in various business tasks. Companies like twitter and amazon extremely leverage this
DE & ML Digest
ML
Time Series Forecasting Made Easy Using Darts
Analytics Vidhya
Time Series Forecasting Made Easy Using Darts
This article is a practical introduction to how to get started with creating a time series model using the darts library in python.
DE & ML Digest
ML
Feed Forward Neural Networks – Intuition on Forward Propagation
Analytics Vidhya
Feed Forward Neural Networks - Intuition on Forward Propagation
This article serves as an introduction to forward propagation which is a very prominent topic with respect to deep learning
DE & ML Digest
ML
A Comprehensive Insight into Human Perception and Speech
Analytics Vidhya
Human Perception and Speech | Understanding Speech Processing
In this article, we discuss Human Perception and Speech, and human incapability of time perception and capability of frequency perception
DE & ML Digest
ML
Complete Guide to build your AI Chatbot with NLP in Python
Analytics Vidhya
How to Build Your AI Chatbot with NLP in Python?
Discover the future of Python AI chatbot technology with our 2026 step-by-step guide, exploring the latest advancements and techniques!
DE & ML Digest
ML
End-to-End Predictive Analysis on Zomato
Analytics Vidhya
End-to-End Predictive Analysis on Zomato
Zomato is a major food delivery aggregator with a markdown cap of 1 Trillion INR. Let's perform predictive analysis on Zomato data
DE & ML Digest
ML
Workout Monitoring Using Optical-Flow — Part 2
Medium
Workout Monitoring Using Optical-Flow — Part 2
How we used Optical Flow to track weight-lifting
DE & ML Digest
ML
Improve Your Hyperparameter Tuning Experience With The Random Search
Medium
Improve Your Hyperparameter Tuning Experience With The Random Search
Learn the inner workings of a hyperparameter optimization method that is often more practical than a regular grid search
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...
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