Transformers have undoubtedly transformed the field of Natural Language Processing. Their attention mechanisms and multi-head attention architecture have propelled them into the limelight, enabling faster training, improved performance, and broader applicability. Whether you’re a novice or an expert, grasping the core concepts of transformers is essential for staying at the forefront of the machine learning landscape. As you embark on your journey into the world of transformers, remember that understanding the foundational principles is the first step towards harnessing their immense potential in shaping the future of NLP and beyond.
And our guide, Transformers in Action, is here to take you along that path.
From Fight Fraud with Machine Learning by Ashish Ranjan Jha Step into the age of AI-powered fraud detection with Fight Fraud with Machine Learning, where every challenge is an opportunity to innovate. This comprehensive guide seamlessly blends theory with hands-on… Continue Reading →
Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity using regular expressions.
Solve design, planning, and control problems using modern machine learning and AI techniques.
Read on to find out more.
Build a Robo Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own!
From Tiny C Projects by Dan Gookin
In this article, we will discuss the NATO phonetic alphabet and how to write a simple program that will translate it to plain text.
From Tiny C Projects by Dan Gookin
This article talks about writing a C program that writes an appropriate greeting, depending on the time of day, for you when you start your computer.
From Tiny C Projects by Dan Gookin
This article discusses the C development cycle.
From Unity in Action, Third Edition by Joseph Hocking This article is an excerpt from chapter 8, in which the reader learns to program movement controls for a character that has been imported into Unity. Take 35% off Unity in… Continue Reading →
From Automated Machine Learning in Action by Qingquan Song, Haifeng Jin, and Xia Hu
This article covers
• Defining and introducing the fundamental concepts of machine learning
• Describing the motivation for and high-level concepts of automated machine learning