Navigating Accelerating Change Individual Purpose in the Digital Age Improving Institutions and

We are living in an age of increasing change and disruption, both positive and negative. But the characteristic that is most important of… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/navigating-accelerating-change-individual-purpose-in-the-digital-age-improving-institutions-and-fcb8e3e0def7?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/navigating-accelerating-change-individual-purpose-in-the-digital-age-improving-institutions-and

Data Science Writers to Follow on Medium

Great Data Science & AI content on Medium Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/data-science-influencers-to-follow-on-medium-a36b0b3ce847?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-science-writers-to-follow-on-medium

5 Must-Read Data Science Papers (and How to Use Them)

Keeping ahead of the latest developments in a field is key to advancing your skills and your career. Five foundational ideas from recent data science papers are highlighted here with tips on how to leverage these advancements in your work, and keep you on top of the machine learning game. Originally from KDnuggets https://ift.tt/2TeNkXW sourceContinue reading “5 Must-Read Data Science Papers (and How to Use Them)”

Data Science in the Cloud with Dask

Scaling large data analyses for data science and machine learning is growing in importance. Dask and Coiled are making it easy and fast for folks to do just that. Read on to find out how. Originally from KDnuggets https://ift.tt/34dQAJs source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-science-in-the-cloud-with-dask

Top Stories Oct 12-18: fastcore: An Underrated Python Library; Free From MIT: Intro to Computational Thinking and Data Science

Also: Software Engineering Tips and Best Practices for Data Science; 5 Best Practices for Putting Machine Learning Models Into Production; Goodhart’s Law for Data Science and what happens when a measure becomes a target?; Text Mining with R: The Free eBook Originally from KDnuggets https://ift.tt/2T6hddd source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-oct-12-18-fastcore-an-underrated-python-library-free-from-mit-intro-to-computational-thinking-and-data-science

Knowledge Graphs: Connecting Your Data to Solve Real-World Problems in R&D Business Intelligence and Strategy

Learn about the development and application of knowledge graphs and how they are helping knowledge and information professionals to solve real business problems. Originally from KDnuggets https://ift.tt/35hOnfq source https://365datascience.weebly.com/the-best-data-science-blog-2020/knowledge-graphs-connecting-your-data-to-solve-real-world-problems-in-rd-business-intelligence-and-strategy

Feature Ranking with Recursive Feature Elimination in Scikit-Learn

This article covers using scikit-learn to obtain the optimal number of features for your machine learning project. Originally from KDnuggets https://ift.tt/34bT3En source https://365datascience.weebly.com/the-best-data-science-blog-2020/feature-ranking-with-recursive-feature-elimination-in-scikit-learn

Using Variational Autoencoder (VAE) to Generate New Images

An advancement of traditional autoencoder. Photo by James Harrison on Unsplash Hey there! It’s been pretty long since my last post. In this article I wanna share another project that I just done. Well, this one is — once again — related to computer vision field. However though, this is going to be different. Instead of doing classification, what IContinue reading “Using Variational Autoencoder (VAE) to Generate New Images”

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