- Sep 14, 2018
What is Machine Learning Lifecycle and Why is it so Important
Data Science and Machine Learning are soon becoming the critical building blocks for data driven organisations. The significant increase in the expectations from engineering teams to meet the varied demand have also led to the rise of ML Lifecycle Solutions. It is also seen that large organizations and startups face a lot of hurdles when it comes to developing ML.
IMPORTANCE OF MACHINE LEARNING LIFE CYCLE MANAGEMENT
ML is importance since it takes every each and very project right from inception to completion and it also provides a high level perspective of how an entire data science project should be structured.Some of the key features of the ML platform include:
- The platform should be able to support model development in different programming languages.
- Another feature includes the connection that exists between various artefacts and platforms which includes the data and datasets.
- There should be association and interaction between the components of the ML platform.
With the importance of ML increasing day by day, it has become crucial for data driven organisations to choose an ML platform that provide inter-operability.
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