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Summary

Uniqtech Publication Pipeline outlines a comprehensive list of upcoming and in-progress articles on various technology and machine learning topics, inviting community feedback and votes to prioritize content production.

Abstract

The Uniqtech Publication Pipeline website presents a table of contents for future articles, covering a wide range of technical subjects including blockchain, machine learning, cloud services, and developer tools. The publication actively seeks audience engagement by asking readers to vote on topics they wish to see published sooner. The content plan includes tutorials, cheatsheets, and guides on intermediate Git and Github workflows, Tensorflow 2.0, SQL for technical interviews, and machine learning for finance, among others. Published articles are also listed, with a focus on machine learning and deep learning topics such as understanding dot product. Additionally, the pipeline includes a roadmap for Google Cloud Platform (GCP) tutorials and support for Udacity's Deep Learning and Machine Learning Nanodegree programs. The website emphasizes its commitment to providing free tutorials and encourages readers to request specific articles.

Opinions

  • The publication values community input, as evidenced by the request for votes and comments to guide the content creation process.
  • There is an emphasis on practical, skill-based learning, with many resources aimed at helping readers prepare for technical interviews or improve their developer productivity.
  • The publication is responsive to reader feedback, as shown by the acknowledgment of positive feedback and the mention of follow-up articles based on comments.
  • Uniqtech is dedicated to continuous learning and development, with a mix of beginner and advanced topics to cater to a wide audience range.
  • The publication is proactive in supporting educational initiatives, such as the Udacity Deep Learning Scholarship Challenge with Facebook.

Table of Contents — Please Vote Uniqtech Publication Pipeline

Here are the topics we plan and will write about. Please vote for them in the comments below so that your topic of interest can come out quickly! Thank you for your participation.

Need an article urgently for an interview or project? Let us know by commenting below or emailing us at [email protected]

This is a great table of contents and a roadmap for future contents.

NEW this month!

Blockchain for developers.

Explain blockchain

Amazon SageMaker Production level machine learning model deployment (Published)

Intermediate Git and Github Cheatsheet (inprogress)

Table of Contents

  • Technical Interview tutorials cheatsheet (In progress, some published)
  • Quick Start Tensorflow 2.0 (Inprogress)
  • Tensorflow cheatsheet
  • SQL Review for technical interviews (published)
  • Basic Machine Learning patterns (YouTube video)
  • Machine learning for non PhDs
  • All activation function cheatsheet published
  • — — activation function for deep learning (completed)
  • Udacity Pytorch Challenge guide
  • Google Cloud GCP tutorials (started)
  • RNN implementations
  • Understand PageRank in Minutes (inprogress)
  • Django Quick Starter Guide (inprogress)
  • Infographics and illustrations of difficult concepts, embedded Github codes
  • Cheatsheet for Machine Learning and Data Science
  • How to launch a Github page aka your coding portfolio
  • Civic hacking, coding with public data, coding for government, Code for America
  • Youtube video how to calculate dot product
  • Youtube video how to calculate matrix multiplication
  • Machine learning for finance, stock market
  • Understand cross entropy loss in minutes +2 pradeep singh Anna Birbeck
  • Getting started with Sklearn in Minutes
  • Getting started with Pytorch in Minutes
  • Getting started with Kaggle in Minutes
  • Getting started with AWS in Minutes
  • Getting started with SageMaker in Minutes
  • Graph Database, Graph Theory Graph algorithms
  • Coding for Product Managers
  • Matrix, Tensor Primer for Deep Learning
  • Matrix Multiplication — Linear Algebra Review for Deep Learning Body Shape Matter in Matrix Multiplication
  • Developer Tools — Improving Developer Productivity, Productivity Hacks
  • Learn Git and Github Workflow in Minutes
  • Coding for the Government — Civic Hack, smart cities
  • Math for Data Science and Machine Learning
  • Data preprocessing on Kaggle
  • Google Cloud Data Engineer Certification
  • Neo4j Certification
  • Virtualenv — Developer Tool Quick Review
  • Computer VisionCheatsheet
  • MIT Deep Learning Making Music with RNN Tutorial Walkthrough
  • Statistics Primer for Programmers Common Distributions and Density Functions
  • Introduction to Graph Database and Graph Algorithms
  • Generating Fake Data for Data Science Projects
  • Machine Learning Patterns Random initialization
  • Data Preprocessing Tutorial Pytorch Transformation Examples
  • Neo4j Getting Started with Graph Database
  • Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree
  • Using BigQuery and SQL in BigQuery
  • — — Getting Started with Instacart Dataset using Google BigQuery (Published) +10 jim ‘s comment follow-up article needed
  • — — Google BigQuery Cool Things You Can Do with It Thank you Niran for positive feedback!
  • Introduction to RNN Recurrent Neural Network
  • Natural Language Processing (NLP) Basics
  • Technical Interviews a Beginner’s Comprehensive Guide
  • Understand PageRank Algorithm in Minutes
  • Django Web Development Quickstarter Guide
  • Activation Functions Cheat Sheet for Deep Learning
  • SQL Cheatsheet — Technical Interview Prep
  • Understand Matrix Multiplication in Minutes
  • Facebook Pytorch a Comprehensive Guide to Get Started with Deep Learning
  • Understand Tensor, Matrix, Vector, Scalar in Minutes
  • Understand Manhattan vs Euclidean Distance in Minutes
  • Anaconda Miniconda Cheatsheet for Data Scientists
  • Pytorch cheatsheet for Udacity students
  • Code snippets for Udacity nanodegree
  • Data Science Cheat Sheet
  • Google Cloud Next (inprogress)
  • Kaggle Day (inprogress)
  • Deep Learning and Pytorch (published)

Published:

Machine Learning and Deep Learning

  • Understand Dot Product in Minutes

In-Progress / Draft Google Cloud Platform GCP Roadmap

Stay tuned. We will cover many of these in our free tutorials for 2019. If there’s something you like to see comment below! Request articles and tutorials. We will deliver for free.

Acronyms: Google Cloud Platform (GCP)

Articles and tutorials already in our pipeline and are coming soon:

  • Architecting with Google Cloud Platform
  • Data Engineering on Google Cloud Platform
  • Data to Insights on GCP
  • Developing Applications with Google Cloud Platforms
  • Kubernetes

Can’t wait? Take the above specializations on Coursera, which partnered with Google.

Udacity Deep Learning Nanodegree and Machine Learning Nanodegree

Pytorch FAQ Code Snippets for Udacity Deep Learning Scholarship Challenge with Facebook

Machine Learning
Data
Coding
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