Part 2. Read Part 1 here | Continue reading
Turning a Python coded neural net into an iOS .mlmodel | Continue reading
Developers using Fritz can now add tags and metadata to on-device machine learning models. Models can be queried by tags and loaded… | Continue reading
There are various techniques for handling text data in machine learning. In this article, we’ll look at working with word embeddings in… | Continue reading
Training platforms and tools | Continue reading
In recent years, neural networks and deep learning have sparked tremendous progress in the field of natural language processing (NLP) and… | Continue reading
Transfer learning, an approach where a model developed for a task is reused as the starting point for a model on a second task, is an… | Continue reading
Tech writing can be tricky business. From choosing a topic people care about, to writing about it effectively, to figuring out how best to… | Continue reading
In this article, we’ll see how we can use the Luminoth library to detect objects in pictures or videos. Luminoth is an open source… | Continue reading
The sports world is an entertainment business at its core, and technology is starting to play a more important role in the expansion of… | Continue reading
Staying lean with TensorFlow Lite | Continue reading
Your cat is (not) grumpy! 😾 | Continue reading
Editor’s Note: If we’ve missed one of your favorite AI/ML newsletters, or if you have your own you’d like us to include, feel free to… | Continue reading
Learn how to build an image recognition app using ONNX.js, a JavaScript library by Microsoft for running ONNX models on browsers and on Node.js. | Continue reading
In this article, we’ll use direct marketing campaign data from a Portuguese banking institution to predict if a customer will subscribe… | Continue reading
Data collection is one of the most vital steps in the machine learning workflow. Learn how to use RSelenium to build an advanced web scraper for more efficient data collection. | Continue reading
A performance comparison between Tesseract OCR & Firebase ML Kit for text recognition tasks | Continue reading
An overview of Convolutional Neural Networks, including how and why they work and an implementation with Keras and TensorFlow. | Continue reading
Data labeling, synthetic data, and feature engineering | Continue reading
Train a dog-breed classification model using Turi Create. 🐶 | Continue reading
From a software engineer’s perspective, one of the most difficult parts of jumping into data science is the code. Here’s a look at a few ways data scientists might improve their code. | Continue reading
An inside look at how to outsource without compromising data quality | Continue reading
ONNX.js is a Javascript library by Microsoft for running ONNX models on browsers and on Node.js. | Continue reading
As we already know, machine learning is a way of automating complex problem-solving. But can machine learning itself be automated? That’s… | Continue reading
Use cases for machine learning in education | Continue reading
In this article, we’ll build a simple neural network using Keras. We’ll assume you have prior knowledge of machine learning packages such… | Continue reading
Benefits, use cases, and developer environments | Continue reading
Machine learning models are often black boxes to end users. Without access to the underlying model architecture and parameters, they are… | Continue reading
Pneumonia is an inflammatory condition of the lung affecting the alveoli. Typically, symptoms include some combination of productive or dry cough, chest pain, fever, and trouble breathing. According… | Continue reading
Ready to learn how to train your AI in less than a day without writing a single line of code? | Continue reading
An iOS Swift, fully offline Natural Language Classifier (NLC) for implementing local in-app Intent understanding with training dataset… | Continue reading
The process of uploading iOS binary files to the App Store is time-consuming and (let’s face it) boring. And Apple hasn’t provided better options for this process. As of now, we’ve used various tools… | Continue reading
Optimize your Android app’s memory consumption with profiling in Android Studio | Continue reading
Depression is among the most prominent mental illnesses, affecting more than 300 million people globally, according to the World Health Organization | Continue reading
Introduction | Continue reading
This is a list of the best libraries and packages that changed our lives this year, compiled from my weekly digests | Continue reading
Quite a number of mobile-focused conferences happened in 2018. In this piece, we’ll take a look at some of the highlights from these… | Continue reading
The year’s most important tools, frameworks, announcements, and more for Android developers | Continue reading
This post was originally published on Labelbox. | Continue reading
Apple is truly investing in testing tools and technologies, which is a great thing for app developers. In fact, Apple announced parallel testing support for the XCTest framework at WWDC 2018 in its… | Continue reading
In this piece, we’ll look at some of the AI and machine learning conferences that happened in 2018 and some of their highlights. | Continue reading
The processes surrounding mobile app development have rapidly evolved in recent years. Practices like Mobile DevOps and CI/CD establish the infrastructure needed to speed up app development. However… | Continue reading
©️This article was first shared in Turkish and for Deep Learning Turkey. | Continue reading
Hyperparameters have inevitably been used by anyone who has practiced machine learning, either in industry, academia, or even self-study… | Continue reading
Top open source projects and major developments in machine learning frameworks | Continue reading
Learn how to upload images in your React Native to create a better user experience. | Continue reading
A look at 20 of the most popular projects, research papers, demos, and more from the subreddit r/MachineLearning over the past year | Continue reading
Retailers are discovering that A.I can be used for more than Tinder. Who knew? | Continue reading