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Julie Bowie

106 posts
I am Julie Bowie a data scientist with a specialization in machine learning. I have conducted research in the field of language processing and has published several papers in reputable journals.
Inductive Bias in Machine Learning
Julie Bowie
  • December 10, 2024

Machine Learning What is Inductive Bias in Machine Learning?

  • 11 minute read
Inductive bias shapes how Machine Learning models generalise from limited data, impacting accuracy and performance.
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Technology Trends
Julie Bowie
  • December 6, 2024

Data Science 25 New Technology Trends for 2025

  • 7 minute read
Discover 25 emerging technology trends for 2025 that will transform industries and enhance daily life.
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Epoch in Machine Learning
Julie Bowie
  • December 6, 2024

Machine Learning Epoch in Machine Learning?

  • 6 minute read
An epoch in machine learning is a complete pass through the entire training dataset, crucial for model training.
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Retrieval Augmented Generation
Julie Bowie
  • December 5, 2024

Artificial Intelligence What is Retrieval Augmented Generation (RAG)?

  • 9 minute read
Retrieval Augmented Generation (RAG) enhances AI responses by combining retrieval systems with generative models.
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ensemble learning in Machine Learning
Julie Bowie
  • December 4, 2024

Machine Learning Understanding Ensemble Learning in Machine Learning

  • 10 minute read
Ensemble learning boosts Machine Learning accuracy by combining diverse models.
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Future of Data Science
Julie Bowie
  • December 4, 2024

Data Science Predicting the Future of Data Science

  • 9 minute read
Predicting the future of Data Science involves trends like AI advancements, ethical considerations, and automation.
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Machine Learning Repository
Julie Bowie
  • December 3, 2024

Machine Learning Understanding Everything About UCI Machine Learning Repository!

  • 12 minute read
Discover the UCI Machine Learning Repository—a vital source for diverse Machine Learning datasets.
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CAP Theorem in DBMS
Julie Bowie
  • December 2, 2024

Data Science Understanding the CAP Theorem in Database Management Systems (DBMS)

  • 5 minute read
The CAP Theorem defines the trade-offs between consistency, availability, and partition tolerance in distributed databases.
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The Mathematics Behind Gradient Descent in Deep Learning
Julie Bowie
  • November 29, 2024

Machine Learning Learn The Mathematics Behind Gradient Descent in Deep Learning

  • 11 minute read
Master gradient descent in Deep Learning to enhance model accuracy through effective optimisation techniques.
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How to Integrate Both Python & R into Data Science Workflows
Julie Bowie
  • November 28, 2024

Python How to Integrate Both Python & R into Data Science Workflows

  • 9 minute read
Master Data Science by integrating Python & R for flexible, robust, and efficient analytical workflows.
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