This article was published as a part of the Data Science Blogathon. As a Machine Learning Engineer or Data Engineer, your main task is to identify and clean duplicate data and remove errors from the dataset. It is good to spend some time preparing the data and making it reliable for the machine learning models. The better the quality of the data, the higher the accuracy of your model and the better the decision-making process. Data Cleaning is not something new in machine learning.

If you've been fascinated with DeepMind's AlphaGo program, there's good news for you. A few Go enthusiasts have replicated the results of the AlphaGo Zero paper, using a few resources provided by Google. The developers are keen to stress that this project is in no way associated with the official AlphaGo program by DeepMind. It's an independent effort that is inspired by AlphaGo, just not affiliated to it. According to the developers, Minigo "is a pure Python implementation of a neural-network based Go AI, using TensorFlow".