Over the years, machine learning has been used for problems like: face detection, object recognition, speech recognition, hand writing recognition, machine translation, email spam classification, Xbox game player matching, Amazon shopping recommendation, Netflix movie recommendation, YouTube video recommendations, AdWords, AdSense, etc.
But Machine Learning has gone beyond the voice assistants in our phone. Following are few examples that I found to stand out of the crowd in how they have been implemented..
- Oregon State University is looking to determine which bird species is/are on a given audio recording collected in field conditions.
- Marinexplore and Cornell University are trying to identify whales in the ocean based on audio recordings so that ships can avoid hitting them.
- IBM’s “Chef Watson” is a result of applying machine learning to generating cooking recipes. Some of the results are pretty unconventional, but by and large it seems to work pretty well.
- An Out of this world example — Remember the Mars Rover? Well, soon after it landed on the red planet it quickly started to make its own autonomous decisions on what sort of rocks to pick up and examine.
- Helping cyclists win the Tour de France — Cyclists in the Tour de France often struggle to figure out their position relative to other competitors. About two hundred cyclists compete in the race, and TV crews don’t have their cameras on all of them all the time — which makes it hard for coaches and participants to figure out their strategy once the race has begun. That’s why data scientists have developed WinningAlgorithms. WinningAlgorithms is a machine learning system that mines the social media feeds of spectators along the route of the Tour de France, as spectators provide up-to-the-second data on where their favorite cyclists are. The algorithm also has the ability to parse out fact from fiction, deciding which social media posts are exaggerations and which are accurate representations of the event.
- Using Machine Learning to prevent animals from poachers.
- This server is created with Lisp. It has inductive learning ability and uses natural language processing techniques to answer questions
Additionally some Intelligent Web Apps
- Ahoy! finder of people’s homepages on the web
- Fab web page recommender
- FAQ Finder locates answers to frequently asked questions
- Firefly personalized recommendations on movies and music
- Jango personal shopping assistant for product availability and price information
- Letizia web browsing assistant
- Lifestyle Finder recommends documents matching your interests
- Metacrawler meta-search engine
- Neurostudio Chatterbotssolutions for e-commerce, web-based support,and entertainment
- ReferralWeb locates experts on specific topics
- SavvySearch meta-search engine
- Syskill & Webert learns your taste in web pages
- WiseWire personalized recommendations of web documents
Missed out on an interesting application? Do share them, it is always nice to know something new.
