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...

Read more

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...

Read more

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...

Read more

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...

Read more

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

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...

Read more

Notice: Undefined index: use_desc_for_title in /home/deepsingularity/public_html/wp-content/plugins/display-categories-widget/display_categories_widget.php on line 221

Notice: Undefined index: sort_order_by in /home/deepsingularity/public_html/wp-content/plugins/display-categories-widget/display_categories_widget.php on line 222

Notice: Undefined index: sort_order_as in /home/deepsingularity/public_html/wp-content/plugins/display-categories-widget/display_categories_widget.php on line 223


  • No categories

Recent Posts

    Page 1 Of 3
  • 1
  • 2
  • 3