Category Archives: Data Science News

Developing machine learning models as products that deliver business value remains a new field with uncharted paths toward success. Applying well-established software development approaches, such as agile, is not straightforward, but may still offer a solid foundation to guide success. Originally from KDnuggets https://ift.tt/37ZUoQt source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-science-as-a-product-why-is-it-so-hard

If you are looking to easily generate visualizations of neural network architectures, PlotNeuralNet is a project you should check out. Originally from KDnuggets https://ift.tt/2KQncCa source https://365datascience.weebly.com/the-best-data-science-blog-2020/generating-beautiful-neural-network-visualizations

Employee training has been around for centuries, in one form or another. Just think about blacksmiths training apprentices, and young men learning to be knights. But just like society and the world of work as a whole, employee training tactics and tools have been evolving since the Middle Ages. In recent times, employee training programs haveContinue reading “6 ways that AI is transforming employee training”

Here, you can view the estimated Cost To Form A Social Media App. This will help your business estimate the costing of an app Businesses can easily estimate the cost to build a social media app by considering various factors such as app features, functionalities, complexity, and more. Here you can view the estimated cost toContinue reading “How Much Does It Cost To Form A Social Media App?”

As a core method in the Data Scientist’s toolbox, k-means clustering is valuable but can be limited based on the structure of the data. Can expanded methods like PAM (partitioning around medoids), CLARA, and CLARANS provide better solutions, and what is the future of these algorithms? Originally from KDnuggets https://ift.tt/3rKeRRt source https://365datascience.weebly.com/the-best-data-science-blog-2020/key-data-science-algorithms-explained-from-k-means-to-k-medoids-clustering

The Poisson distribution, named after the French mathematician Denis Simon Poisson, is a discrete distribution function describing the probability that an event will occur a certain number of times in a fixed time (or space) interval. Originally from KDnuggets https://ift.tt/37UvqSv source https://365datascience.weebly.com/the-best-data-science-blog-2020/essential-math-for-data-science-the-poisson-distribution

Also: A Rising Library Beating Pandas in Performance; 20 Core Data Science Concepts for Beginners; How to Create Custom Real-time Plots in Deep Learning; 10 Python Skills They Don’t Teach in Bootcamp Originally from KDnuggets https://ift.tt/2Jqmwmx source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-dec-14-20-crack-sql-interviews-state-of-data-science-and-machine-learning-2020-3-key-findings

How to pick the best ML model ? Machine learning models are built on training data and then predictions are done to address the business problems. There are many models (like SVM, Decision tree, Random forest, Logistic regression, Naive bayes ,etc.) which can be built in Machine learning. Choosing the best model is sometimes challenging as weContinue reading “How to pick the best ML model?”

Although artificial intelligence has been around for a while, it was always thought of as something that is in the early stages of development, and that it would take decades before we could make it work to our advantage. In other words, it was the stuff we would usually see in sci-fi movies. However, artificialContinue reading “8 Myths About AI in the Workplace”

How to evaluate the Machine Learning models? — Part 5 This is the fifth aka last part of the metric series where, we will be discussing metrics which are used most mostly in ranking. There are several other metrics which plays a very crucial role in evaluating the model, feel free to reference that also because of timeContinue reading “How to evaluate the Machine Learning models?Part 5”