Startup Vacasa Is Utilizing Machine Learning And AI To Determine Vacation Rental Pricing


While Airbnb brought enormous attention to the short-term vacation rental space, more specialized players are now entering the industry, bringing differentiated offerings to a new trend in hospitality. As the amount of vacation rentals available flourishes, the trickiness in pricing rentals relevant to demand and the competition becomes more critical.

Planet enlists machine learning experts to parse a treasure trove of Amazon basin data


Planet, the satellite imaging company that operate the largest commercial Earth imaging constellation in existence, is hosting a new data science competition on the Kaggle platform, with the specific aim of developing machine learning techniques around forestry research. Planet will open up access to thousands of image'chips,' or blocks covering around 1 sauce kilometre, and will give away a total of $60,000 to participants who place in the top three when coming up with new methods for analyzing the data available in these images.

ARIAC Qualifier 3 is now open


We are happy to announce that Qualifier 3 is now open for the Agile Robotics for Industrial Automation Competition (ARIAC)! ARIAC is a simulation-based competition is designed to promote agility in industrial robot systems by utilizing the latest advances in artificial intelligence and robot planning. The goal is to enable industrial robots on the shop floors to be more productive, more autonomous, and to require less time from shop floor workers.

Scaling machine learning


Reza Zadeh is giving a talk, "Scaling computer vision in the cloud," at the O'Reilly Artificial Intelligence Conference, June 26-29, 2017, in New York City.

Impact of deep learning on computer vision


A rather high profile area generating headlines this year has been connected vehicles. The technological challenges that must be addressed before autonomous cars can be unleashed onto the streets are quite significant. Vision is one critical factor; your car needs to be able to identify all road hazards as well as navigating from A to B. So, how can a car achieve that in an often over-crowded highway space?

Tree Boosting With XGBoost - Why Does XGBoost Win "Every" Machine Learning Competition?


Tree boosting has empirically proven to be a highly effective approach to predictive modeling.It has shown remarkable results for a vast array of problems.For many years, MART has been the tree boosting method of choice.More recently, a tree boosting method known as XGBoost has gained popularity by winning numerous machine learning competitions. We will show that XGBoost employs a boosting algorithm which we will term Newton boosting. This boosting algorithm will further be compared with the gradient boosting algorithm that MART employs. In addition to this, we will attempt to answer the question of why XGBoost seems to win so many competitions.To do this, we will provide some arguments for why tree boosting, and in particular XGBoost, seems to be such a highly effective and versatile approach to predictive modeling.

The Best Sources to Study Machine Learning and AI: Quora Session Highlight Ben Hamner, Kaggle CTO


Ben Hamner, Kaggle co-founder and CTO, held a Quora Session last month answering questions on the future of Kaggle, machine learning and AI, and data science workflows. Here we highlight his advice for studying machine learning in eight steps.

What Are The Best Intelligent Chatbots or AI Chatbots Available Online?


How do we define the intelligence of a chatbot? You can see a lot of articles about what would make a chatbot "appear intelligent." A chatbot is intelligent when it becomes aware of user needs. Its intelligence is what gives the chatbot the ability to handle any scenario of a conversation with ease.

DSG17 Online Phase


Getting the perfect music recommendation is a challenging task. Who has never dreamt of laying back and listening to some music, while having no buttons to press at all and still getting the perfect tune? But what defines this perfect tune?