15+ YEARS OF E-COMMERCE CONSULTING

HELPED OVER 1,000 SUCCESSFUL STORE OWNERS

GENERATED MILLIONS IN MONTHLY REVENUE

15+ YEARS OF E-COMMERCE CONSULTING

HELPED OVER 1,000 SUCCESSFUL STORE OWNERS

GENERATED MILLIONS IN MONTHLY REVENUE

15+ YEARS OF E-COMMERCE CONSULTING

HELPED OVER 1,000 SUCCESSFUL STORE OWNERS

GENERATED MILLIONS IN MONTHLY REVENUE

The latest articles from our community

  • Best of Machine Learning in 2019: Reddit Edition

    To help sift through some of the incredible projects, research, demos, and more in 2019, here’s a look at 17 of the most popular and talked-about projects in machine learning, curated from the r/MachineLearning subreddit. I hope you find something inspiring, educational, or both in this list. Few-Shot Unsupervised Image-to-Image Translation (913 ⬆️) From the […] Read more

  • Machine Learning Model Optimization

    Machine Learning Model Optimization Whether it’s handling and preparing datasets for model training, pruning model weights, tuning parameters, or any number of other approaches and techniques, optimizing machine learning models is a labor of love. It’s important to note that there’s no one-size-fits-all approach: different use cases require different techniques, and various stages of the […] Read more

  • Play Sheet Music with Python, OpenCV, and an Optical Music Recognition Model

    Introduction Scientists have been experimenting for some years now on ways to make computers recognize music notations. According to a paper by Jorge Calvo-Zaragoza et al, research has been done in this area of study for the past 50 years and these involved the use of different techniques most of which were based on cutting […] Read more

  • Tuning Machine Learning Hyperparameters

    Hyperparameters have inevitably been used by anyone who has practiced machine learning, either in industry, academia, or even self-study. It can be an intimidating term if you’re just starting your dive into machine learning. And once you’ve figured out how to pronounce the term, the key to understanding hyperparameters is knowing how they differ from […] Read more

  • Implementing Adaptive Icons in Android Using Android Studio

    In my time as an Android developer, I’ve run into issues with designing app icons for different Android devices and OS versions. Luckily, however, I found a workable solution: to create adaptive icons with Android Studio that work across devices and versions of Android. Creating an adaptive Icon for Android using Android Studio is relatively […] Read more

  • GraphQL with Android

    It’s safe to say that a majority of developers work by consuming REST APIs in their day-to-day tasks. And this is not at all surprising as REST is amazing architecture. But since the development landscape and the technologies within that landscape are constantly changing, developers need to keep themselves up-to-date with the latest and greatest, […] Read more

  • Working with Fastlane on iOS in an Enterprise Environment

    In case you were wondering, no — Fastlane doesn’t have an enterprise offering. It’s always been (and I hope will continue to be) an open-source product. Fastlane is a collection of tools that help you automate all aspects of mobile development, such as creating new app IDs in the developer portal and managing provisioning profiles; […] Read more

  • Implementing Facebook login on Android with React Native and Firebase

    This tutorial is a quick guide on how to integrate Facebook login with Firebase while developing with React Native. By using Firebase and Facebook login, you’ll be able to understand how to use and integrate Firebase properly, as well as implement Facebook authentication along with login. This process will also help developers learn a lot […] Read more

  • AutoML: The Next Wave of Machine Learning

    Mercari is a popular shopping app in Japan that has been using AutoML Vision (Google’s AutoML solution) for classifying images. According to Mercari, they’ve been “developing their own ML model that suggests a brand name from 12 major brands in the photo uploading user interface.” While their own model—trained on TensorFlow—achieved an accuracy of 75%, […] Read more

  • Hand Detection with Core ML and ARKit

    ARKit allow developers to layer virtual objects onto real world environment. In this post, we’ll explore how we can make our real hands interact with virtual objects using ARKit and Core ML, Apple’s machine learning framework. Augmented Reality Augmented reality is a lot of fun. ARKit from Apple is a really powerful tool that uses […] Read more

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