Applications of Machine Learning Techniques in Manufacturing (5)

Limitations:

Most existing algorithms are prohibitively inefficient when it comes to large data sets.
Most techniques to date handle only data with continuous and nominal values
Present machine learning models and manufacturing models are very loosely coupled.

Applications of Machine Learning Techniques in Manufacturing (6)

Challenges:

Developing learning algorithms that can process large data efficiently, while building from them the best possible models.
Designing algorithms that can learn regularities in other data types, such as text and images.
Closer integration between machine learning models and manufacturing models.