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A Greater Foundation for Machine Learning Engineering- Reader’s Digest

Machine Learning Book February 26, 2021 - In this post, Gloria Pullman performs the book review at Reader's Digest Magazine on A Greater Foundation for Machine Learning Engineering - The Hallmarks of the Great Beyond in PyTorch, R, TensorFlow, and Python authored by Dr. Ganapathi Pulipaka. The comprehensive review provides an overview of what to expect in the book. Dr. Ganapathi Pulipaka is a data science leader, author, and premier speaker with expertise in machi...

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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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