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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 | 23513 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 | 22069 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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Installation Guide for TensorFlow on macOS Mojave 10.14.1 for your DeepLearning w/ Java, C, and Go

Posted by deepsingularity in AI,Big Data,Data Science,Machine Learning,Popular Blogs on Jun 18, 2018 | 15144 comments

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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3 Ways to Apply Latent Semantic Analysis on Large-Corpus Text on macOS Terminal, JupyterLab, and Colab

Posted by deepsingularity in AI,Algorithm,Architecture,Big Data,Data analytics,Data Science,Machine Learning,Popular Blogs on Jun 16, 2018 | 37537 comments

Latent semantic analysis works on large-scale datasets to generate representations to discover the insights through natural language processing. There are different approaches to perform the latent semantic analysis at multiple levels such as document level, phrase level, and sentence level. Primarily semantic analysis can be summarized into lexical semantics and the study of combining individual words into paragraphs or sentences. The lexical semantics classifies and decompo...

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