Google Data Engineers shares their experience of building and maintaining machine learning systems. With a huge volume of data, dealing with multiple models and running and training models on a wide array of datasets, maintaining a system can become a daunting task.
In a paper, Google engineers have pointed out the various costs of maintaining a machine learning system. The paper, Hidden Technical Debt in Machine Learning Systems , talks about technical debt and other ML specific debts that are hard to detect or hidden . They found that is common […]
May be its not only Oil and Gas, but ML & Data Science technique are also poised to transform all industries. Its only about time and use cases for people to come up with.
TechRepublic’s Dan Patterson asks Schneider Electric Chief Digital Officer Herve Coureil about how machine learning will transform industries. The following is an edited transcript of the interview. Dan Patterson: What feeder industries? I mean, it’s one thing for us to kind of nerd-out about your particular sector, but there […]
Data Engineering is one of the hotting job profile, there seems to be ton of opportunities in area of Data Science.
Check out this wonderful advice on being data engineer by Ben Chamberlain (Lead Data Scientist, ASOS)
Advice Ben Chamberlain, lead data scientist, ASOS. Image: ASOS ASOS’s lead data scientist, Ben Chamberlain, shares his advice for those who want to follow in his footsteps. Being a data scientist can be a hugely rewarding career. Data science is becoming more and more necessary in a wide range […]
As applications get advanced features with help of AI and Machine Learning, there seems to be some concerns around how data is process and stored, who has access to data and concerns around privacy. On the other hand, things like Google Photos which they claim to have more accurate face recognition than even humans, its hard to imagine that something like Google Photos can be done without getting access to millions of photos. Now it has become increasingly important to have a mechanism where some level of data processing can be done one edge.
While without a doubt, cloud is getting powerful, Edge devices are also increasingly getting powerful. Current generation mobile devices like iPhone and iPad with A12 processor can be as powerful as desktops. Once trained models are deployed on edge devices, there is no reason why basic processing cannot be done on device. This can save tremendous resources on cloud.
Machine learning applications in data centers (or “the cloud”) have pervasively changed our environment. Advances in speech recognition and natural language understanding have enabled personal assistants to augment our daily lifestyle. Image classification and object recognition techniques enrich our social media experience, and offer significant enhancements in medical diagnosis […]
With everyone getting connected and constent urge of staying up to date with information has a downside as well. The application and data connectivity ecosystem which has made world a tiny place and everconnected has also created concerns due to fake news, spreading rumors and propagating political agenda and promoting violence. This is something that most countries and organizations face as challenge, platforms like Facebook and WhatsApp are key tool to spread fake news and promote political agenda. These platforms have started using advandec machine learning and AI techniques to fight this menance with automation and help human moderator make faster review of content before it goes viral.
Fake news has been around for a very long time. Some may argue that it has always existed or, better still, that it came along at the exact same time as mass media. However, the need for finding a way to unmask it (especially via social media channels), has […]
As Machine Learning techniques advances, there seems to be more and more use cases to improve user experiece, safety and security. Major companies like Google as already applied ML techniques to identify phising, Payment gateway providers use similiar techniques to identify scam transactions. Given realtime access to data, sophisticated systems can be built to identify scams before they happen.
Scammers may be tricking vast numbers of unsuspecting customers into giving up their personal details so that fraudulent transactions can take place – but these crafty thieves may have met their match in machine learning. Vishers, phishers and smishers belong to a category of criminals called social engineering fraudsters, […]