Category Archives: Data Science News

Photo by Andy Beales on Unsplash Artificial intelligence is among the top technologies of the 21st century’s prominent technology stack. Artificial intelligence and its subsets deep learning and machine learning have brought a wide range of use cases into the light. Gartner a global research firm has claimed in its reports that Artificial Intelligence, Automation andContinue reading “Future of Artificial Intelligence: The Fourth Industrial Revolution”

As a foundational set of algorithms in any machine learning toolbox, linear regression can be solved with a variety of approaches. Here, we discuss. with with code examples, four methods and demonstrate how they should be used. Originally from KDnuggets https://ift.tt/3lI2MJh source https://365datascience.weebly.com/the-best-data-science-blog-2020/which-methods-should-be-used-for-solving-linear-regression

In this article, for the first time, I’ll consolidate everything that I’ve learned and condense all of these into 5 lessons that I’ve learned in 2 years as a data scientist. Originally from KDnuggets https://ift.tt/3jBpIIm source https://365datascience.weebly.com/the-best-data-science-blog-2020/here-is-what-ive-learned-in-2-years-as-a-data-scientist

PyCaret is an open-source, low-code machine learning library in Python that automates the machine learning workflow. It is an end-to-end machine learning and model management tool that speeds up the machine learning experiment cycle and makes you 10x more productive. Read about what’s new in PyCaret 2.1. Originally from KDnuggets https://ift.tt/31LJDy8 source https://365datascience.weebly.com/the-best-data-science-blog-2020/pycaret-21-is-here-whats-new

Non-Negative Matrix Factorization for Dimensionality Reduction We have explained how we can reduce the dimensions by applying the following algorithms: We will see how we can also apply Dimensionality Reduction by applying Non-Negative Matrix Factorization. We will work with the Eurovision 2016 dataset as what we did in the Hierarchical Clustering post. Few Words AboutContinue reading “Non-Negative Matrix Factorization for Dimensionality ReductionPredictive Hacks”

Recognition of jokes in news headlines, driving vehicles, tracking human health — Machine Learning performs many amazing things if it has the right data. It plays a crucial role in the model training process and output quality. How does it work? The dataset in Machine Learning Whatever your algorithm is used for — image recognition, object tracking, matchmaking or deep analysis,Continue reading “Machine Learning behind the scenes: what is dataset and why should it be qualitative?”

Data Analysts/Scientists should have a basic knowledge of Unix Commands, the goal of this post is to give some examples of how the shell commands would help them on their daily tasks. For the first examples we will consider the following eg1.csv: ID,Name,Dept,Gender1,George,DS,M2,Billy,DS,M3,Nick,IT,M4,George,IT,M 5,Nikki,HR,F 6,Claudia,HR,F 7,Maria,Sales,F 8,Jimmy,Sales,M 9,Jane,Marketing,F 10,George,DS,M Artificial Intelligence Jobs Examples of BasicContinue reading “Basic Unix Commands for Data Scientists”

We provide an updated list of best online Masters in AI, Analytics, and Data Science, including rankings, tuition, and duration of the education program. Originally from KDnuggets https://ift.tt/2DjoMZL source https://365datascience.weebly.com/the-best-data-science-blog-2020/2020-best-online-masters-in-analytics-business-analytics-data-science-updated

The focus of this blog is to bring to light that continued software optimizations can boost performance not only for the latest platforms, but also for the current install base from prior generations. This means customers can continue to extract value from their current platform investments. Originally from KDnuggets https://ift.tt/31OTbbU source https://365datascience.weebly.com/the-best-data-science-blog-2020/showcasing-the-benefits-of-software-optimizations-for-ai-workloads-on-intel-xeon-scalable-platforms

How can information managers find strategic roles to play in their organization’s AI and data analysis projects? Download this book to learn more. Originally from KDnuggets https://ift.tt/3jzw0ID source https://365datascience.weebly.com/the-best-data-science-blog-2020/ebook-vocabularies-text-mining-and-fair-data-the-strategic-role-information-managers-play