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Machine learning
Initial Understanding and Analysis Anomaly detection in machine learning is the process of identifying observations, events, or patterns that significantly deviate from expected behaviour within a dataset. These unusual data…
What is meant by data points? One day, my student asked me what a data point is in a machine learning model. Data points are the information we feed into…
Let’s talk about climate change definition. Long-term changes in temperature and weather patterns are referred to as climate change. These changes might be caused by natural processes, but since the…
If you don’t understand logistic regression you certainly don’t understand deep learning. – Jonathan Gordon, PhD Machine Learning & Deep Learning, University of Cambridge Logistic regression interpretation What is it…
From detecting skin cancer to sorting cucumbers to detecting escalators in need of repair, machine learning has granted computer systems entirely new abilities. But how does it really work under…
I have been already writing about two main classes of machine learning are unsupervised and supervised. Let’s talk about this in more detail. Explanation of what is the difference between…
Calculating model accuracy is a critical part of any machine learning project yet many data science tools make it difficult or impossible to assess the true accuracy of a model.…
The deep learning process is a variation of supervised learning. In this process, the machine learns using several reinforcement learning methods, like search, search based on scoring or clustering methods,…
Are you a data mining researcher who spends up to 75% of your time ensuring data quality and then optimizing it for the development and implementation of predictive models? And…
What does BERT mean in NLP? BERT is an open-source machine learning framework for natural language processing (NLP). It is based on the ideas proposed by Makoto Matsumoto in his…