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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
How Google plans to improve web searches with multimodal AI
VentureBeat
How Google plans to improve web searches with multimodal AI
Google plans to leverage MUM, a sophisticated multimodal AI model, to improve experiences across Search and Lens.
DE & ML Digest
Big Data
A direct comparison of kNN for different values of k
reddit
A direct comparison of kNN for different values of k
Posted in r/bigdata by u/Va_Linor • 9 points and 1 comment
DE & ML Digest
Big Data
Big Data Week Bucharest 2021 Online Conference
reddit
Big Data Week Bucharest 2021 Online Conference
Posted in r/bigdata by u/jexxyjex • 1 point and 0 comments
DE & ML Digest
ML
Search by Synonyms In Any Text Using NLP!
Analytics Vidhya
Search by Synonyms In Any Text Using NLP! - Analytics Vidhya
In this article we will search by synonyms using NLP in the given text. For the task we will be using ApacheNLPCraft tool and python.
DE & ML Digest
ML
Important Statistics Data Scientists Need to Know
KDnuggets
Important Statistics Data Scientists Need to Know - KDnuggets
Several fundamental statistical concepts must be well appreciated by every data scientist -- from the enthusiast to the professional. Here, we provide code snippets in Python to increase understanding to bring you key tools that bring early insight into your…
DE & ML Digest
ML
A Comprehensive Guide on Neural Networks Performance Optimization
Analytics Vidhya
A Comprehensive Guide on Neural Networks Performance Optimization
This is a comprehensive guide, That will introduce you to a number of methods you can use for Neural Networks Performance Optimization
DE & ML Digest
ML
Numpy Refresher for Beginners (with Anaconda Setup)
Analytics Vidhya
Numpy Refresher for Beginners (with Anaconda Setup)
This article is an introduction to machine learning fundamentals. The content is divided into two parts anaconda setup and Numpy operations.
DE & ML Digest
ML
A Hands-On Discussion on Hyperparameter Optimization Techniques
Analytics Vidhya
A Hands-On Discussion on Hyperparameter Optimization Techniques
In this article we wil develop a random forest base model for classification and learn about different Hyperparameter Optimization techniques
DE & ML Digest
ML
Guide for building an End-to-End Logistic Regression Model
Analytics Vidhya
Guide for Building an End-to-End Logistic Regression Model
In this blog, we'll go over everything you need to know about Logistic Regression to get started and build a model in Python.
DE & ML Digest
ML
Uncovering the Potential of Materials Data using Matminer and Pymatgen
DE & ML Digest
ML
Word2vec with PyTorch: Implementing Original Paper
Medium
Word2vec with PyTorch: Implementing the Original Paper
Covering all the implementation details, skipping high-level overview. Code attached.
DE & ML Digest
ML
GitHub Desktop for Data Scientists
KDnuggets
GitHub Desktop for Data Scientists - KDnuggets
Less scary than version control in the command line.
DE & ML Digest
ML
Package PyTorch Models in a Self-Contained Format
Medium
Package PyTorch Models in a Self-Contained Format
Move your models between machines, not the Python code.
DE & ML Digest
ML
MySQL vs Redis
Medium
MySQL vs Redis
The DBMS compared to in-memory data storage
DE & ML Digest
ML
Configure a CNN Model using Traditional Machine Learning Algorithms
Medium
Configure a CNN Model using Traditional Machine Learning Algorithms
Applying Ensemble Learning Algorithms to the image dataset that are features extracted by Convolutional Layers with a python implementation
DE & ML Digest
ML
Building AI culture in organisations
Medium
Building AI culture in organisations
What are we talking about here?
DE & ML Digest
ML
What Is The Difference Between Inference and Prediction
Medium
What Is The Difference Between Inference and Prediction
Discussing the difference between prediction and inference in the context of Statistical Learning
DE & ML Digest
ML
Everything you need to know “activation functions” for deep learning models
Medium
Everything you need to know about “activation functions” for deep learning models
Want to know what is activation function and why are they essential?
DE & ML Digest
ML
Tune your machine learning workflow with weights and biases, mljar automl, hyperopt, shapash and…
Medium
Tune your machine learning workflow with weights and biases, mljar automl, hyperopt, shapash and evidently
Discovery of emergent tools on a regression use-case of the French energy consumption
DE & ML Digest
ML
Want To Become A Data Scientist In 12 Weeks?
Medium
Want To Become A Data Scientist In 12 Weeks?
Think one more time before you spend your money
DE & ML Digest
ML
KDnuggets
Use These Unique Data Sets to Sharpen Your Data Science Skills - KDnuggets
Want to get your hands on some real-world data sets right now? Kick off your bootcamp prep with this list of hot-button data sets curated to help you hone different data science skills.
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