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Building effective business strategies with data science

Posted by deepsingularity in Architecture,Big Data,Data Science,Popular Blogs on Jul 20, 2020 | 31020 comments

Introduction James W. Marshall has discovered gold nuggets in the Sacramento valley, the capital of California in 1848, which has seen the largest mass migration of 300,000 people to California for processing and mining the gold hidden in the riverbeds at Sutter’s Mill in Coloma.  In today’s world, the ability to collect, process, massive of amounts of big data has created a gold rush, not only in Silicon Valley, but throughout the United States and the ...

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GP’S Data Science Digest for Apr 12th, 2020

Posted by deepsingularity in AI,Big Data,Data Science,Deep Learning,Machine Learning,Popular Blogs on Apr 22, 2020 | 34666 comments

Research papers How to keep up with research and trends in machine learning Machine learning in biomedicine - Nature AI Learns to Translate Human Brain Activity into Text - Nature Machine learning resources and tutorials Autoencoders Multi-layer perceptron A brief history of Apache Spark timeline Nature-inspired Algorithms – Particle swarm optimization using Python 15 Python libraries for data scientists Neural Networks: Backpropagati...

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4 Books with Jupyter Notebooks for Data Science

Posted by deepsingularity in AI,Big Data,Data Science,Machine Learning,Popular Blogs on Apr 21, 2020 | 23730 comments

The emergence of open-source programming languages and toolsets in the recent times have introduced techniques to implement machine learning algorithms leveraging number of programming languages applying statistical classification and statistical inference on Jupyter notebooks. It's critical for the beginners in the field of data science to get acquainted with supervised learning and unsupervised learning, representation of data through several data engineering and data scie...

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Building a Neural Net to Visualize High-Dimensional Data in TensorFlow

Posted by deepsingularity in AI,Big Data,Data Science,Machine Learning,Popular Blogs on Jun 18, 2018 | 22252 comments

Word embeddings and high-dimensional data are ubiquitous in many facets of deep learning research such as natural language processing, building recommendation systems. Google in the recent times has open sourced the embedding project that works as an interactive collaborative visualization tool to visualize the high-dimensional data.  The embedding works as a navigational map from the points to the data inputs in Euclidean space.  Many types of big data require visualizatio...

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