What Everyone Ought To Know About MACHINE LEARNING

   2019-11-28       16        Technology
Rating :
Machine learning is a hot topic in research and industry, with new methodologies developed all the time.

Machine Learning methods every data scientist must know:
  1. Regression
  2. Classification
  3. Clustering
  4. Dimensionality Reduction
  5. Ensemble Methods
  6. Neural Nets and Deep Learning
  7. Transfer Learning
  8. Reinforcement Learning
  9. Natural Language Processing
  10. Word Embeddings


A machine learning algorithm, also called model, is a mathematical expression that represents data in the context of a ­­­problem, often a business problem. The aim is to go from data to insight. For example, if an online retailer wants to anticipate sales for the next quarter, they might use a machine learning algorithm that predicts those sales based on past sales and other relevant data. Similarly, a windmill manufacturer might visually monitor important equipment and feed the video data through algorithms trained to identify dangerous cracks.

Author Signature :


<a href="https://prwatech.in/blog/machine-learning/machine-learning-introduction/">Machine Learning Institute in Bangalore</a>


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