Graph Machine Learning in Genomic Prediction

In this article, we explore how genetic relationships can be exploited alongside genomic information to predict genetic traits, with the aid of graph machine learning algorithms. Originally from KDnuggets https://ift.tt/2BrzImz source https://365datascience.weebly.com/the-best-data-science-blog-2020/graph-machine-learning-in-genomic-prediction

Introduction to Optimization and Gradient Descent Algorithm [Part-1].

Source Optimizers lies at the heart of machine learning. Gradient descent is one of the most popular algorithms to perform optimization and by far the most common way to optimize neural networks. At the same time, every state-of-the-art Deep Learning library contains implementations of various algorithms to optimize gradient descent. These algorithms, however, are oftenContinue reading “Introduction to Optimization and Gradient Descent Algorithm [Part-1].”

How to Test any Deep Learning models on your Data without pain

Learn how to test a lot of models and architecture on your Data without headache Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/how-to-test-any-deep-learning-models-on-your-data-without-pain-662f4cd0749a?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-test-any-deep-learning-models-on-your-data-without-pain

The Acclimation and Legality of Superior Machines

We live in a world where we are constantly in contact with Artificial Intelligence, perhaps without even being aware. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/the-acclimation-and-legality-of-superior-machines-aad753183b0a?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-acclimation-and-legality-of-superior-machines

modelStudio and The Grammar of Interactive Explanatory Model Analysis

modelStudio is an R package that automates the exploration of ML models and allows for interactive examination. It works in a model agnostic fashion, therefore is compatible with most of the ML frameworks. Originally from KDnuggets https://ift.tt/37MGQq2 source https://365datascience.weebly.com/the-best-data-science-blog-2020/modelstudio-and-the-grammar-of-interactive-explanatory-model-analysis

What Is an ARIMA Model?

  In our previous tutorial, we became familiar with the ARMA model. But did you know that we can expand the ARMA model to handle non-stationary data? Well, that’s exactly what we’re going to cover in this post – the intuition behind the ARIMA model, the notation that goes with it, and how it differsContinue reading “What Is an ARIMA Model?”

AI and Machine Learning facilitate peoples lives in terms of many aspects

AI and machine learning are very much present in these days and they are facilitating human lives in a lot of ways, whether you may realize it or not. In the tech domain, there is a huge buzz going around the future abilities of AI and machine learning in terms of how they’ll be impacting ourContinue reading “AI and Machine Learning facilitate peoples lives in terms of many aspects”

AI that Can Do No Wrong

But will the human master allow AI to be programmed with strict and unwavering ethical decisions? Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/ai-that-can-do-no-wrong-aaf2ded113d2?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/ai-that-can-do-no-wrong

Future in Fintech in 2020: a revolution in financial sectors

The union of financial services and information technology, or for short Fintech, has been breaking the barrier between financial… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/future-in-fintech-in-2020-a-revolution-in-financial-sectors-3b5a4bc61260?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/future-in-fintech-in-2020-a-revolution-in-financial-sectors

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