Monthly Archives: March 2019
Google AI Chief Jeff Dean’s ML System Architecture Blueprint
ML has revolutionized vision, speech and language understanding and is being applied in many other fields. That’s an extraordinary achievement in the tech’s short history and even more impressive considering there is still no dedicated ML hardware. Read More
Building AI software: Data-driven vs model-driven AI and why we need an AI-specific software development paradigm
Current, industry-led, interest in artificial intelligence is almost entirely focussed on data-driven AI. The focus on data-driven AI is such that people have gone as far as labelling data-driven machine learning “the part of AI that works” Read More
The Three Ways: The Principles Underpinning DevOps
Gene Kim talks about the “Three Ways,” which are the principles that all of the DevOps patterns can be derived from, which we’re using in both the “DevOps Handbook” and “The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win.” We assert that the Three Ways describe the values and philosophies that frame the processes, procedures, practices of DevOps, as well as the prescriptive steps. Read More
There are two very different ways to deploy ML models, here’s both
Deploying models is the key to making them useful. Read More
Artificial Intelligence Framework: A Visual Introduction to Machine Learning and AI
The transformative nature of Artificial Intelligence in business and our society is evident. Like the internet and the smartphone, AI is an enabler technology that will have a far-reaching impact on all areas of our life. Read More
10 Best Frameworks and Libraries for AI
This article looks at top-quality libraries that are used for artificial intelligence, their pros and cons, and some of their features. Let’s dive in and explore the world of these AI libraries! Read More
Machine Learning and AI Frameworks: What’s the Difference and How to Choose?
There are many machine learning frameworks. Given that each takes much time to learn, and given that some have a wider user base than others, which one should you use? Here we look briefly at some of the major ones. Read More
Different types of Machine learning and their types.
Supervised and unsupervised are mostly used by a lot machine learning engineers and data geeks. Reinforcement learning is really powerful and complex to apply for problems. Read More
Types of Machine Learning Algorithms You Should Know
This post explains the types of machine learning algorithms and when you should use each of them. Read More
Rick's Cafe AI 