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Neptune Blog

Learn from AI/ML engineers, researchers, and folks building foundation models: best practices, tool reviews, and real-world examples.

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  • ML Model Development
  • Time Series

Machine Learning for Stock Price Prediction

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Katherine (Yi) Li
- 6 min
The stock market is known for being volatile, dynamic, and nonlinear. Accurate stock price prediction is extremely challenging because of multiple (macro and micro) factors, such as politics, global economic conditions, unexpected events, a...
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  • ML Model Development
  • Time Series

ARIMA vs Prophet vs LSTM for Time Series Prediction

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Konstantin Kutzkov
- 9 min
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  • ML Model Development
  • Time Series

ARIMA vs Prophet vs LSTM for Time Series Prediction

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Konstantin Kutzkov
- 9 min
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  • ML Model Development
  • Time Series

How to Select a Model For Your Time Series Prediction Task [Guide]

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Joos Korstanje
- 13 min
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  • ML Model Development

Feature Selection Methods and How to Choose Them

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Michał Oleszak
- 15 min
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  • ML Model Development
  • MLOps

Recommender Systems: Lessons From Building and Deployment

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Dhruvil Karani
- 8 min
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  • Computer Vision
  • ML Model Development

Object Detection with YOLO: Hands-on Tutorial

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Anton Morgunov
- 6 min
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  • ML Model Development

Active Learning: Strategies, Tools, and Real-World Use Cases

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Arun C John
- 15 min
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  • ML Model Development
  • MLOps

ML Model Registry: The Ultimate Guide

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Stephen Oladele
- 12 min
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  • ML Model Development

Fighting Overfitting With L1 or L2 Regularization: Which One Is Better?

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Kurtis Pykes
- 9 min
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  • ML Model Development
  • Natural Language Processing

Building a Search Engine With Pre-Trained Transformers: A Step By Step Guide

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Aravind CR
- 8 min
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  • ML Model Development
  • MLOps

Real-World MLOps Examples: Model Development at Hypefactors

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Stephen Oladele
- 5 min
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  • Computer Vision
  • ML Model Development

Imbalanced Data in Object Detection Computer Vision Projects

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Tanay Agrawal
- 9 min
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  • ML Model Development

Multi GPU Model Training: Monitoring and Optimizing

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Mirza Mujtaba
- 8 min
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