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Month: February 2018

February 17, 2018 Basic Concepts

Machine Learning Algorithms 101

This blog post is for the newbies who want to quickly understand the basics of the most popular Machine Learning

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February 17, 2018 Basic Concepts

Introduction to Machine Learning

What is Machine Learning? Machine Learning is the science of teaching computers to learn from data. In Arthur Samuel’s words:

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Top Posts

  • BERT Explained: A Complete Guide with Theory and Tutorial
  • Click-Through Rate (CTR) Prediction using Decision Trees
  • 12 Key Lessons from ML researchers and practitioners
  • A dataset and a ML problem, what should you do? An end-to-end example with housing dataset from Kaggle
  • Understanding Word Embeddings
  • Deep Learning Series, P2: Understanding Convolutional Neural Networks
  • Time Series Forecasting, the easy way! Let's analyze Microsoft's stocks
  • Understanding Decision Trees
  • How great products are made: Rules of Machine Learning by Google, a Summary
  • The data-driven coffee - analyzing Starbucks' data strategy

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AI ANN Classification Data Science Decision Trees Deep Learning KNN Linear Regression Logistic Regression Machine Learning Machine Learning Algorithms Neural Networks NLP Python Random Forest Reinforcement Semisupervised Supervised Learning SVM Unsupervised Learning
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