The goal of this article is to provide a simple way of structuring and organizing your application in order to achieve clean and scalable iOS code when using split testing.
Practical tips and examples are provided in order for this article to stay as a guideline for real-world app scenarios.
Continue reading “Structuring Your iOS App for Split Testing”
Although is has many forms, text wrangling is basically the pre-processing work that’s done to prepare raw text data ready for training. Simply put, it’s the process of cleaning your data to make it readable by your program, and then formatting it as such.
Many of you may be wrangling text without knowing it yourself. In this tutorial, I will teach you how to clean up your text in Python. I will show you to perform the most common forms of text wrangling: sentence splitting, tokenization, stemming, lemmatization, and stop word removal.
Continue reading “Introduction to Text Wrangling Techniques for Natural Language Processing”
Since the beginning of the coronavirus pandemic, the news has been overwhelmingly negative and somewhat depressing. You open Twitter or your favorite news application, and you’re left with loads and loads of information that can drain your energy.
In a world saturated with information, more and more people are choosing to offer positive news, even if it’s still often confined to a specific section.
For example, The British daily newspaper The Guardian offers “The Upside”, while Fox News, MSN, the HuffPost site, and Yahoo! all have “good news” pages.
Continue reading Build a Positive News iOS Application Using the Power of Machine Learning
Writesonic and Jasper are both at the top of the heap when it comes to tools shaping how we craft digital content in the 2020s.
Each boasts unique strengths — Writesonic with its intuitive design for quick, efficient content production, and Jasper with its deep, customizable AI for rich, nuanced narratives.
For marketers sculpting their brand’s voice, bloggers enriching their storytelling, or businesses scaling their content strategy, the choice between Writesonic and Jasper could prove difficult.
That’s why I’m presenting the features that set these tools apart, comparing them, and offering guidance on use cases to help you make an informed decision going forward.
Continue reading “Writesonic vs Jasper 2024 Comparison: Who’s Better?”
Navigating the world of content creation requires a keen eye for detail and a flair for the right words. Enter AI copywriting software: a modern writer’s ally that brings precision and creativity. These tools don’t cut corners. Instead, they can enrich the writing process.
They offer a helping hand to finesse your prose, ensuring every piece you craft resonates with authenticity and impact.
As we sift through the top contenders in AI copywriting software, we’ll discover how they can amplify your unique voice, giving you the power to captivate your audience with every sentence.
Continue reading “8 Best AI Copywriting Software for 2024 [Pros, Cons, Pricing]”
The way we analyze and summarize documents is changing. Gone are the days when you had to pore over long papers, documents, or eBooks to get to the crux of their contents.
Instead, document-reading AI tools allow you to upload documents online and receive insights into what they’re all about at speed.
Interested? Good, because you’re in the right place. I’m taking a deep dive into one such tool: aiPDF. More specifically, we’ll explore what it is, its pros and cons, prices, how it works, and some alternatives.
Continue reading “aiPDF Review 2024: What Does This New Document-Reading Tool Have to Offer?”
In a previous article, I focused on transfer learning scenarios with Core ML, and in particular we saw how to create a new model on an iOS device, import embedding weights from a previously-trained model, and train the rest of the layers on-device, using private and local data:
Moving forward in my long journey towards developing a Swift federated learning infrastructure, this time I’ve investigated how to train, from scratch on iOS devices, a little bit more complex model architecture—a CNN.
Continue reading “Fully Training a Core ML Convolutional Neural Network On-Device”
In my last post, I covered some of the difficulties of working with custom neural networks in Lens Studio. This time, I’ll show you what it looks like, with a step-by-step guide for building and implementing your own custom neural network in a Snap Lens.
Continue reading “Building a Custom Face Mask Snapchat Lens with Fritz AI and Lens Studio”
In this blog post, I’ll be covering the steps to create an Android app that’s able to detect and count objects from the Camera Preview in real time.
There are tons of real-time object detection tutorials out there, so you might be wondering, How is this one any different? One key difference is that, instead of just detecting objects, we’ll also be counting objects in a given frame, opening up a much wider range of possible applications.
Apple has long integrated accessibility features into their software — and for good reason. By using accessibility features in your app, you’re allowing your app to reach a wider audience.
Sticking with their commitment to accessibility, Apple has introduced several new features at WWDC20 which help developers make their apps easier and more entertaining for users with disabilities.
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