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Machine Learning
Collection by
Mikko Hakala
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233 followers
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Last updated 1 year ago
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Introduction to Bayesian Decision Theory
A Statistical Approach to Machine Learning
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MCMC sampling for dummies — While My MCMC Gently Samples
MCMC sampling for dummies
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Advances in Variational Inference
[1711.05597] Advances in Variational Inference
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A Gentle Introduction to XGBoost for Applied Machine Learning
A Gentle Introduction to XGBoost for Applied Machine Learning - Machine Learning Mastery
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How to Develop Your First XGBoost Model in Python
How to Develop Your First XGBoost Model in Python with scikit-learn - Machine Learning Mastery
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Gradient Boosting in TensorFlow vs XGBoost - KDnuggets
Gradient Boosting in TensorFlow vs XGBoost
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Machine Learning | Accuracy Paradox | Randy Lao ☁️ | LinkedIn
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Which machine learning algorithm should I use?
Which machine learning algorithm should I use?
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How To Improve Deep Learning Performance
How To Improve Deep Learning Performance - 20 Tips, Tricks and Techniques That You Can Use To Fight Overfitting and Get Better Generalization How can you get better performance from your deep learning model? It is one of the most common questions I get asked. It might be asked as: How can I improve accuracy? …or it may be reversed as: What …
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Ten quick tips for machine learning in computational biology - BioData Mining
Ten quick tips for machine learning in computational biology | BioData Mining | Full Text
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Complete Guide to Parameter Tuning in XGBoost (with codes in Python)
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30 Questions to test a data scientist on K-Nearest Neighbors (kNN)
30 Questions to test a data scientist on K-Nearest Neighbors (kNN) Algorithm
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JPMorgan's massive guide to machine learning jobs in finance
J.P.Morgan’s massive guide to machine learning and big data jobs in finance
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A simple deep learning model for stock price prediction using TensorFlow
A simple deep learning model for stock price prediction using TensorFlow
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TF Iris dataset - YouTube
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7 More Steps to Mastering Machine Learning With Python - KDnuggets
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Machine Learning Algorithms: Which One to Choose for Your Problem - DZone AI
Learn which machine learning algorithm to choose: linear classification, logistic or linear regression, decision trees, K-means, PCA, or neural networks.
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5 EBooks to Read Before Getting into A Machine Learning Career - KDnuggets
5EBooks to Read Before Getting into A Machine Learning Career
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Practical Machine Learning with R and Python – Part 4 | R-bloggers
Practical Machine Learning with R and Python – Part 4 | R-bloggers
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Stacking models for improved predictions: A case study for housing prices
Stacking models for improved predictions: A case study for housing prices
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Top 10 Machine Learning Algorithms for Beginners - KDnuggets
Top 10 Machine Learning Algorithms for Beginners
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XGBoost, a Top Machine Learning Method on Kaggle, Explained - KDnuggets
XGBoost