Author Archives: 365Data Science

How to generate real-time visualizations of custom metrics while training a deep learning model using Keras callbacks. Originally from KDnuggets https://ift.tt/2ILGtDQ source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-create-custom-real-time-plots-in-deep-learning

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/top-and-free-open-source-machine-learning-pre-trained-models-for-transfer-learning-model-training-9703bb60d0e6?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-and-free-open-source-machine-learning-pre-trained-models-for-transfer-learning-model-training

ML07: What is “Robust” ? robust statistics / robust model / robustness Read time : 10 min Robust/robustness is a commonly used but often not elaborated concept in statistics/machine learning. We get started with some instance:1. Robust: median, IQR, trimmed mean, Winsorized mean2. Non-robust: mean, SD, range Outline(1) Definition of “Robust”(2) Dealing with Errors and Outliers1.Continue reading “ML07: What is robust?”

An example of how you can count efficiently the cumulative distinct values in R and Python Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/cumulative-count-distinct-values-d8601f145c29?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/cumulative-count-distinct-values

As is the potential for any “trending hot” career, the reality of a position in the field may not be all that you initially expected. Data Science is no exception, and being still a young field, its evolving definition can offer some surprises that you should know about before accepting that dream offer. Originally fromContinue reading “6 Things About Data Science that Employers Dont Want You to Know”

The new model tries to recreate the reinforcement learning and search methods used by AlphaZero in imperfect information scenarios. Originally from KDnuggets https://ift.tt/2LvNABn source https://365datascience.weebly.com/the-best-data-science-blog-2020/facebook-open-sources-rebel-a-new-reinforcement-learning-agent

Summary: Autonomous driving is a hot topic that has gained immense popularity — but is it an actual concept. If yes, what are the probabilities that it brings along as it sounds oxymoron? Let’s understand the challenges of autonomous driving and how agile technology can play an important role in bringing this concept to reality. Autonomous driving isContinue reading “How Autonomous Driving is Transforming Automotive Industry?”

A practical example of how you can schedule your scripts using Cron Jobs in Linux Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/how-to-schedule-a-cron-job-in-linux-2c7d61805cac?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-schedule-a-cron-job-in-linux

This article covers matrix decomposition, as well as the underlying concepts of eigenvalues (lambdas) and eigenvectors, as well as discusses the purpose behind using matrix and vectors in linear algebra. Originally from KDnuggets https://ift.tt/377pANd source https://365datascience.weebly.com/the-best-data-science-blog-2020/matrix-decomposition-decoded

Entity extraction, also known as entity identification, entity chunking, and named entity recognition (NER), is the act of locating and classifying mentions of an entity in a piece of text. This is done using a system of predefined categories, which may include anything from people or organizations to temporal and monetary values. The entity extraction processContinue reading “A Beginners Guide to Entity Extraction”