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Machine Learning Mastery
Software Development
Vermont, Victoria 285,683 followers
Making developers awesome at machine learning
About us
Machine Learning Mastery is an online community and store that offers support and training to help developers get started and get good at applied machine learning. We teach machine learning using a highly productive top-down and results-focused approach that is counter to the math-heavy academic approach taken by the rest of the industry. Learn more at: http://MachineLearningMastery.com
- Website
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http://MachineLearningMastery.com
External link for Machine Learning Mastery
- Industry
- Software Development
- Company size
- 2-10 employees
- Headquarters
- Vermont, Victoria
- Type
- Privately Held
- Founded
- 2013
- Specialties
- Machine Learning, Deep Learning, Python Machine Learning, R Machine Learning, Weka Machine Learning, and Machine Learning Algorithms
Locations
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Primary
Get directions
PO Box 206
Vermont, Victoria 3133, AU
Employees at Machine Learning Mastery
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Matthew Mayo
Data Scientist | AI Engineer | Digital Strategist | Managing Editor for Guiding Tech Media's family of professional data-oriented websites: KDnuggets…
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Stefania Cristina
Lecturer at University of Malta
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Muhammad Asad Iqbal Khan
Senior AI Engineer at Monitor Health
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شهنام اهرابلی
English Teacher at Machine Learning Mastery
Updates
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How to Perform Scikit-learn Hyperparameter Optimization with Optuna https://lnkd.in/gdm-B6aQ
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5 Reasons Why Traditional Machine Learning is Alive and Well in the Age of LLMs https://lnkd.in/ghBC3ZRz
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Example Applications of Text Embedding https://lnkd.in/gJjiEtXj
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Using Auto Classes in the Transformers Library https://lnkd.in/gacfShMu
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How to Train a Progressive Growing GAN in Keras for Synthesizing Faces https://lnkd.in/gdukduf
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Text Embedding Generation with Transformers https://lnkd.in/gwyeia5f
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The Beginner’s Guide to Clustering with Python https://lnkd.in/gmCyJygr
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The Roadmap for Mastering MLOps in 2025 https://lnkd.in/gf6umdt3
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Fine-Tuning DistilBERT for Question Answering https://lnkd.in/gHUMF99v