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

#frameworks, #machine-learning

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

#frameworks, #machine-learning

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

#machine-learning

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

#machine-learning

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#humor, #videos

How Will You Measure Your Life? Clay Christensen at TEDxBoston

#ted-talks, #videos

Start with why — how great leaders inspire action | Simon Sinek | TEDxPugetSound

#ted-talks, #videos

Artificial Intelligence is the New Electricity — Andrew Ng

How artificial intelligence (AI) is transforming industry and business.

On Wednesday, January 25, Andrew Ng — former Baidu Chief Scientist, Coursera co-founder, and Stanford Adjunct Professor — gave a talk at the Stanford MSx Future Forum. During the talk, Professor Ng shared his opinion on AI. He mainly discussed how artificial intelligence (AI) is transforming industry and business. Read More

#artificial-intelligence

AI is the New Electricity – Dr. Andrew Ng

#artificial-intelligence, #videos

The Mythos of Model Interpretability

Supervised machine learning models boast remarkable predictive capabilities. But can you trust your model? Will it work in deployment? What else can it tell you about the world? We want models to be not only good, but interpretable . Read More

#model-interpretability