Data Science

Building effective business strategies with data science

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

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

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

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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Installation Guide for TensorFlow on macOS Mojave 10.14.1 for your DeepLearning w/ Java, C, and Go

This installation particularly focuses on macOS High Sierra version 10.13.4. It’s likely that the installation may work on previous version of macOS High Sierra. However, addressing the issues related to previous versions is not considered in this topic.  There are several options to install TensorFlow on macOS. Docker Native Pip Virtual Python environment Installation of TensorFlow with Anaconda Installation of TensorFlow for JDK Installation of Tensor...

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