Discover the differences between AI, machine learning, and deep learning in this comprehensive guide. Learn how each technology works, their key applications, and the skills required for a career in data science.
This week, there was (yet another) game changing announcement from the folks at Deepmind named Gato Gato is a cool cat 🙂 It leads us… Read More »Why Gato from Deepmind is a game changer
How exactly do you define Artificial Intelligence(AI)? This looks like a back to basics/ back to school question – but the answer is not that… Read More »How exactly do you define Artificial Intelligence(AI)?
Deep Learning has shown tremendous success, but what makes it so special? What are neural networks, and how do they work? What are the differences… Read More »DSC Webinar Series: Deep Learning – Introduction to Neural Networks
In this latest Data Science Central webinar, we will cover the principles for training your neural network including activation and loss functions, batch sizes, data… Read More »DSC Webinar Series: Deep Learning – Training your Neural Network
Curious about what human-in-the-loop machine learning actually looks like? Join CrowdFlower and learn how to effectively incorporate Active Learning, Transfer Learning, and Annotation Quality in… Read More »DSC Webinar Series: Practical Human-in-the-Loop Machine Learning
Over the past few years, AI and big data have powered numerous technologies that have changed the way we live, from autonomous cars to conversational… Read More »DSC Webinar Series: Matei Zaharia’s Predictions for 2018: Big Data and AI Highlights
What are neural networks, but more important, how are they trained in practice? How can data scientists design an optimal neural network when a single… Read More »DSC Webinar Series: Deep Learning – From Basic Principles through Training Models for Deployment into Production
AI systems need to continually learn from new data to perform well in real-world scenarios. However, it is non-trivial to decide what new data needs… Read More »DSC Webinar Series: Human-in-the-Loop Deep Learning
