Even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, one of the important concerns of ML applications.
Machine learning research and product development present several challenges that, if not addressed, can steer your project in the wrong direction. These tips will help you avoid these pitfalls.
By Guilherme Alvarenga
By moving to the cloud, you have a powerful infrastructure that can scale up resources on-demand to meet all your traffic...
Google Drive has made it harder for malicious actors to guess the URL of shared documents. But the link-sharing feature is still a privacy disaster.
By Luke Fitzpatrick
Photo by Malte Helmhold on Unsplash
For digital marketers, the coming of a new year comes with a chance to improve...
By Richard Koret
Even if most of us can’t travel as we once did, the world is a more accessible place, at least online. Business...
By Deepak Gupta
With millions of people working remotely amid the global pandemic, the work-from-home ecosystem is witnessing exponential growth in cyber-attacks. As per surveys,...
There are several benefits to learning machine learning with JavaScript. Privacy, mobile and web integration, and customization are a few.
In 2018, when the price of bitcoin dropped from an all-time high of around $20,000 to less than $6,000, a lot of people thought cryptocurrencies are dead. But...
Most AI pitches miss the key points they must highlight. Here are a few tips to help you make your pitch more compelling.