Artificial Intelligence

A Friendly Introduction to Data-Driven Marketing for Business Leaders

A Friendly Introduction to Data-Driven Marketing for Business Leaders

Taking an algorithmic approach to attribution is just the beginning of driving change by moving toward a more detailed, data-driven approach in marketing.

Top 10 Practices to Operationalize Your Data Science Projects in the Real World

Top 10 Practices to Operationalize Your Data Science Projects in the Real World

I want to use this post to share the top 10 practices to deploy your machine learning models into production in the real world.

Biologically-Inspired AI: Differential Evolution, Particle Swarm Optimization, and Firefly Algorithms

Biologically-Inspired AI: Differential Evolution, Particle Swarm Optimization, and Firefly Algorithms

There have been significant advances in recent years in the areas of neuroscience, cognitive science, and physiology related to how humans process information. This semester, I’m taking a graduate course called Bio-Inspired Intelligent Systems. It provides broad exposure to the current research in several disciplines that relate to computer science, including computational neuroscience, cognitive science, biology, and evolutionary-inspired computational methods. In an effort to open-source this knowledge to the wider data science community, I will recap the materials I will learn from the class in Medium. Having some knowledge of these models would allow you to develop algorithms that are inspired by nature to solve complex problems.

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part II)

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part II)

From machine translation that connects humans across cultures, to conversational chatbots that help with customer service; from sentiment analysis that deeply understands a human’s mood, to attention mechanisms that can mimic our visual attention, the field of NLP is too expansive to cover completely, so I’d encourage you to explore it further, whether through online courses, blog tutorials, or research papers.

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part I)

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part I)

NLP is certainly one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Fully understanding and representing the meaning of language is an extremely difficult goal. Why? Because the human language is quite special.

The 5 Computer Vision Techniques That Will Change How You See The World

The 5 Computer Vision Techniques That Will Change How You See The World

Computer Vision is one of the hottest research fields within Deep Learning at the moment. It sits at the intersection of many academic subjects, such as Computer Science (Graphics, Algorithms, Theory, Systems, Architecture), Mathematics (Information Retrieval, Machine Learning), Engineering (Robotics, Speech, NLP, Image Processing), Physics (Optics), Biology (Neuroscience), and Psychology (Cognitive Science).

Snapchat's Filters: How computer vision recognizes your face

Snapchat's Filters: How computer vision recognizes your face

In those moments of boredom when you're playing with Snapchat's filters - sticking your tongue out, ghoulifying your features, and working out how to get the flower crown to fit exactly on your head - surely you've had a moment where you've wondered what's going on, on a technical level - how Snapchat manages to match your face to the animations?

12 Useful Things to Know about Machine Learning

12 Useful Things to Know about Machine Learning

Machine learning algorithms can figure out how to perform important tasks by generalizing from examples. This is often feasible and cost-effective where manual programming is not. As more data becomes available, more ambitious problems can be tackled. As a result, machine learning is widely used in computer sincere and other fields. However, developing successful machine learning applications requires a substantial amount of “black art” that is hard to find in textbooks.

Pinterest’s Visual Lens: How computer vision explores your taste

Pinterest’s Visual Lens: How computer vision explores your taste

When it comes to looking for something you want to try — a new salad recipe, a new classy dress, a new chair for your living room — you really need to see it first. Humans are visual creatures. We use our eyes to decide if something looks good, or if it matches our style.

The 8 Neural Network Architectures Machine Learning Researchers Need to Learn

The 8 Neural Network Architectures Machine Learning Researchers Need to Learn

Today, deep neural networks and deep learning achieve outstanding performance on many important problems in computer vision, speech recognition, and natural language processing. They’re being deployed on a large scale by companies such as Google, Microsoft, and Facebook.I hope that this post helps you learn the core concepts of neural networks, including modern techniques for deep learning.

The 10 Deep Learning Methods AI Practitioners Need to Apply

The 10 Deep Learning Methods AI Practitioners Need to Apply

Deep Learning is strongly technique-focused. There are not much concrete explanations for each of the new ideas. Most new ideas came out with experimental results attached to prove that they work. Deep Learning is like playing LEGO. Mastering LEGO is as challenging as any other arts, but getting into it is easier.

The 10 Algorithms Machine Learning Engineers Need to Know

The 10 Algorithms Machine Learning Engineers Need to Know

It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data.