Tag: Big data
-
Image recognition in Python with TensorFlow and Keras
Posted on June 14, 2019, Level intermediate Resource Length medium
One of the most common utilizations of TensorFlow and Keras is the recognition/classification of images. If you want to learn how to use Keras to classify or recognize images, this article will teach you how.
Tags python big-data data-science
-
How to create histogram in Rlang
Posted on May 22, 2019, Level intermediate Resource Length short
In this article the author will show you how to create histogram in R using ggplot2 package. Written by Data Sharkie. When we get a new dataset for our analysis or research, often we would like to learn about the frequency of occurrence distribution of the variable of interest.
Tags analytics miscellaneous big-data cio data-science
-
Building self-served ETL pipeline for third-party data ingestion
Posted on April 18, 2019, Level intermediate Resource Length medium
An article by Nikolaos Tsipas from Skyscanner with help of colleagues Omar Kooheji and Michael Okarimia about how to solve the puzzle when there is a need to import datasets from external sources, and make them available for querying. Examples of imported data include: analytics metrics, advertising data, and currency exchange rates, all of which are used by Skyscanner engineers and data scientists.
Tags big-data data-science software-architecture
-
Google's EdgeTPU benchmarked vs Intel's Movidius
Posted on March 24, 2019, Level beginner Resource Length short
An article written by Frederik Bode about the first benchmark of Google's EdgeTPU Dev Board is in. Read about comparison is made against Intel's (first generation) Movidius Neural Compute Stick, and Google is the clear winner regarding inference time.
Tags big-data data-science analytics machine-learning
-
The data science behind Natural Language Processing
Posted on March 22, 2019, Level beginner Resource Length medium
John Thuma published this piece about the data science behind Natural Language Processing (NLP). Human communication is one of the most fascinating attributes of being sentient. We communicate in a variety of ways including speech and written symbols.
Tags miscellaneous big-data data-science learning
-
Managing analysis workflows in geospatial data science with GNU Make
Posted on March 3, 2019, Level intermediate Resource Length long
Martà Bosch wrote this guide how to go about using Jupyter Notebooks while using iterative approach to both data analysis and software development. He will also explain how to avoid some bad practices. Many issues can be settled by choosing helpful file names, good organization, documentation and source control of the code.
Tags big-data machine-learning data-science miscellaneous python
-
Understanding stabilising experience replay for deep multi-agent reinforcement learning
Posted on March 1, 2019, Level advanced Resource Length long
An article by Parnian Barekatain in which she describes some basic concepts in Reinforcement Learning. She also provides you with the link to Udacity's free course on Deep Learning with Pytorch.
Tags big-data machine-learning data-science miscellaneous
-
Handling imbalanced datasets in machine learning
Posted on February 6, 2019, Level intermediate Resource Length long
An article by Bapriste Rocca about handling imbalanced datasets in machine learning. He searches and answer on question what should and should not be done when facing an imbalanced classes problem.
Tags big-data big-data data-science miscellaneous machine-learning
-
Understand TensorFlow by mimicking its API from scratch
Posted on January 7, 2019, Level beginner Resource Length long
An article by Dominic Elm about learning TensorFlow. TensorFlow is a very powerful and open source library for implementing and deploying large-scale machine learning models.
Tags programming big-data big-data learning machine-learning
-
Enterprise-level data science: lessons from the front lines
Posted on December 29, 2018, Level beginner Resource Length medium
Blog post by Levi Brackman on best practices for enterprise level data science. Data science, machine learning (ML) and artificial intelligence (AI) are relatively new endeavors for enterprise-level business. Many companies are batch training as well as batch scoring ML models.
Tags big-data data-science machine-learning analytics
-
Data Mining and Predictive Analytics: Things we should care about
Posted on December 28, 2018, Level beginner Resource Length medium
Vikash Kumar from custom application development company Tatvasoft published this post about predicitive analytics. Data and tons of data are found at the core of any organization's success or failure. Businesses are going with all guns to create a better position in the marketplace by understanding their customer base, making constant improvements in their operations, outperforming their competitors and what not!
Tags analytics miscellaneous big-data cio data-science
-
Understanding the potential of Artificial Intelligence
Posted on December 21, 2018, Level beginner Resource Length long
An interesting interview with Daniel Hulme, CEO of the AI solutions startup Satalia, offers other chief executives a primer on the technology that will shape the future of work and business. Published on strategy-business.com by Euan Cameron and Deborah Unger.
Tags big-data cloud data-science miscellaneous machine-learning