365Data Science

From Science to Data Science

Tales of an oceanographer navigating the different waves of tech companies looking for whales. Photo by Jorge Vasconez on Unsplash Introduction and Hypothesis I loved to work as a scientist. There is a deep feeling of completion and happiness when you manage to answer why. Finding out why such animal would go there, why would they doContinue reading “From Science to Data Science”

Statistical Distributions

Statistical Distributions! The normal distribution is the most important probability distribution in statistics because it fits many natural phenomena. Photo by CHUTTERSNAP on Unsplash In this article we will cover some distributions that I have found useful while analysing data. I have split them based on whether they are for a continuous or a discrete randomContinue reading “Statistical Distributions”

Hugging Face Transformer Basics What Is It and How To Use It

The rapid development of Transformers have brought a new wave of powerful tools to natural language processing. These models are large and very expensive to train, so pre-trained versions are shared and leveraged by researchers and practitioners. Hugging Face offers a wide variety of pre-trained transformers as open-source libraries, and you can incorporate these withContinue reading “Hugging Face Transformer Basics What Is It and How To Use It”

Easy Open-Source AutoML in Python with EvalML

We’re excited to announce that a new open-source project has joined the Alteryx open-source ecosystem. EvalML is a library for automated machine learning (AutoML) and model understanding, written in Python. Originally from KDnuggets https://ift.tt/3s4JPDb source https://365datascience.weebly.com/the-best-data-science-blog-2020/easy-open-source-automl-in-python-with-evalml

IBM Uses Continual Learning to Avoid The Amnesia Problem in Neural Networks

Using continual learning might avoid the famous catastrophic forgetting problem in neural networks. Originally from KDnuggets https://ift.tt/37jcRH1 source https://365datascience.weebly.com/the-best-data-science-blog-2020/ibm-uses-continual-learning-to-avoid-the-amnesia-problem-in-neural-networks

We Dont Need Data Scientists We Need Data Engineers

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data moreContinue reading “We Dont Need Data Scientists We Need Data Engineers”

Telling a Great Data Story: A Visualization Decision Tree

Pick your visualizations strategically. They need to tell a story. Originally from KDnuggets https://ift.tt/3jQwmvz source https://365datascience.weebly.com/the-best-data-science-blog-2020/telling-a-great-data-story-a-visualization-decision-tree

Essential Math for Data Science: Scalars and Vectors

Linear algebra is the branch of mathematics that studies vector spaces. You’ll see how vectors constitute vector spaces and how linear algebra applies linear transformations to these spaces. You’ll also learn the powerful relationship between sets of linear equations and vector equations. Originally from KDnuggets https://ift.tt/37aZZCV source https://365datascience.weebly.com/the-best-data-science-blog-2020/essential-math-for-data-science-scalars-and-vectors

Deep Learning Algorithms in Self-Driving Cars

Deep Learning in Self-Driving Cars The very first self-driving car used Neural Networks to detect lane lines, segment the ground, and drive. It was called ALVINN and was created in 1989. Autonomous Land Vehicle In a Neural Network Great Scott! Neural Networks were already used back in 1989! The approach was End-To-End: you feed an image toContinue reading “Deep Learning Algorithms in Self-Driving Cars”

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