Machine Learning Software Engineering Daily

Data Validation is the process of ensuring that data is accurate. In many software domains, an application is pulling in large quantities of data from external sources. That data will eventually be exposed to users, and it needs to be correct. Radius Intelligence is a company that aggregates data on small businesses. In order to The post Data Validation with Dan Morris appeared first on Software Engineering Daily.

Machine learning has become simplified. Similar to how Ruby on Rails made web development approachable, scikit-learn takes away much of the frustrating aspects of machine learning, and lets the developer focus on building functionality with high-level APIs.   Per Harald Borgen is a developer at Xeneta. He started programming fairly recently, but has already built The post Machine Learning for Sales with Per Harald Borgen appeared first on Software Engineering Daily.

The war against spam has been going on for decades. Email spam blockers and ad blockers help protect us from unwanted messages in our communication and browsing experience. These spam prevention tools are powered by machine learning, which catches most of the emails and ads that we don’t want to see. TrueCaller is a company The post Phone Spam with Truecaller CTO Umut Alp appeared first on Software Engineering Daily.

“Building a model to predict disease and deploying that in the wild – the bar for success is much higher there than, say, deciding what ad to show you.” Diagnosing illness today requires the trained eye of a doctor. With machine learning, we might someday be able to diagnose illness using only a data set. The post Machine Learning in Healthcare with David Kale appeared first on Software Engineering Daily.

“Nothing’s cool unless you call it ‘as a service.’ ” Monsanto is a company that is known for its chemical and biological engineering. It is less well known for its data science and software engineering teams. Tim Williamson is a data scientist at Monsanto, and on today’s show he talked about how he and a The post Data Science at Monsanto with Tim Williamson appeared first on Software Engineering Daily.

“I definitely think we can try to abstract away the first principles of intelligence and then try to go from these principles to an intelligent machine that might look nothing like the brain.” Continue reading… The post Deep Learning and Keras with François Chollet appeared first on Software Engineering Daily.

“You’ve got software engineers who are interested in machine learning, and think what they need to do is just bring in another module and then that will solve their problem. It’s particularly important for those people to understand that this is a different type of beast.” Continue reading… The post Machine Learning for Businesses with Joshua Bloom appeared first on Software Engineering Daily.

“You don’t mind if failures slow things down, but its very important that failures do not stop forward progress.” Continue reading… The post TensorFlow with Greg Corrado appeared first on Software Engineering Daily.

“I normally try to sit together or very close to a product team or engineering team. And by doing so, I get very close to the source of all kinds of challenging problems.” Continue reading… The post Data Science at Spotify with Boxun Zhang appeared first on Software Engineering Daily.

“When I was a graduate student, I was sitting in the office of my advisor in electrical engineering and he said, ‘Look out that window – you see a Volkswagon, I see a realization of a random variable.’ ” Continue reading… The post Learning Machines with Richard Golden appeared first on Software Engineering Daily.

“Changing anything changes everything.” Technical debt, referring to the compounding cost of changes to software architecture, can be especially challenging in machine learning systems. Continue reading… The post Machine Learning and Technical Debt with D. Sculley appeared first on Software Engineering Daily.

Current infrastructure makes it difficult for data scientists to share analytical models with the software engineers who need to integrate them. Yhat is an enterprise software company tackling the challenge of how data science gets done. Their products enable companies and users to easily deploy data science environments and translate analytical models into production code. Continue reading… The post Bridging Data Science and Engineering with Greg Lamp appeared first on Software Engineering Daily.

Data science competitions are an effective way to crowdsource the best solutions for challenging datasets. Kaggle is a platform for data scientists to collaborate and compete on machine learning problems with the opportunity to win money from the competitions' sponsors. Continue reading… The post Kaggle with Ben Hamner appeared first on Software Engineering Daily.

There is a need for more data scientists to make sense of the vast amounts of data we produce and store. Dataquest is an in-browser platform for learning data science that is tackling this problem. Vik Paruchuri is the founder of Dataquest. He was previously a machine learning engineer at EdX and before that a U.S. diplomat. Continue reading… The post Teaching Data Science with Vik Paruchuri appeared first on Software Engineering Daily.