A Series of Development Talks in Machine Learning
We have started a series of development talks in Machine Learning last Thursday. Our Phython developer Petro Ivaniuk has carried out a certain amount of research in this field and is ready to share his findings with his colleagues. He started the 1st devtalk with Introduction to Machine Learning , Linear Regression. The next session is scheduled to be held in May.
Machine Learning was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that’s gaining fresh momentum.
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