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Introduction

Chapter
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Part of the BestMasters book series (BEST)

Abstract

The focus of machine learning is to develop algorithms that can learn from data [1]. The traditional approach to solving a data-driven problem is to build an algorithm that describes a systematic procedure of calculations specifically for the problem [2]. However, data from experiments or observations is often noisy and building such an algorithm for high-dimensional data is not feasible in most scenarios. Machine learning offers a solution to this problem. Instead of looking at the observations by hand and manually finding patterns in the data, machine learning “gives the computers the ability to learn without being explicitly programmed” [3].

Keywords

Machine Learning Hematopoietic Stem Cell Recurrent Neural Network Deep Learning Bright Field Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  1. 1.NeuherbergDeutschland

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