Skip to content
View elgeish's full-sized avatar

Highlights

  • Pro

Block or report elgeish

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
elgeish/README.md

About

I'm passionate about machine learning, big data, debugging, software craftsmanship, teaching, coaching, building engineering organizations that solve challenging problems effectively, helping others with their aspirations, and writing about the above.

My personal mission is to empower people around the globe to collaborate more effectively using software that provides great experiences.

Bio

https://elgeish.com

Computing with Data

Book Cover

A Guide Book to the Data Industry

  • Introduces programmers to data science concepts and practices through new apparatuses such as Python programming and data processing techniques
  • Explains prevalent programming languages and data processing systems that are commonly used to address engineering challenges
  • Explores new tools and libraries to use in big data projects
  • Presents principles that can be employed in applications ranging from software simulations to real-world web applications that serve millions of users
  • Contains a plethora of examples used to explain various interconnected concepts; most of the code samples on this website are editable and runnable in an interactive web-based IDE; for example, try editing this code snippet then run it.

Pinned Loading

  1. Computing-with-Data Computing-with-Data Public

    Code samples for my book "Computing with Data: An Introduction to the Data Industry"

    Java 18 25

  2. transformers transformers Public

    Forked from huggingface/transformers

    🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

    Python 1 2

  3. espnet espnet Public

    Forked from espnet/espnet

    End-to-End Speech Processing Toolkit

    Shell

  4. gradio gradio Public

    Forked from gradio-app/gradio

    Rapidly create UIs for prototyping your machine learning model in 3 minutes

    Python 1

  5. gooseberry gooseberry Public

    Forked from voicera/gooseberry

    A collection of common Go packages that Voicera uses in microservices

    Go

  6. tester tester Public

    Forked from voicera/tester

    Lightweight test utilities to use with Go's testing package

    Go