Best practices of orchestrating Python and R code in ML projects

Best practices of orchestrating #Python and #rstats code in #MachineLearning projects

  • Instead of arguing about Python vs R I will examine the best practices of integrating both languages in one data science project.
  • Today, data scientists are generally divided among two languages — some prefer R, some prefer Python.
  • Usually algorithms used for classification or regression are implemented in both languages and some scientist are using R while some of them preferring Python.
  • Instead of using logistic regression in R we will write Python jobs in which we will try to use random forest as training model.
  • py is presented below: – – Also here we are adding code for download necessary R and Python codes from above (clone the Githubrepository): – – Our dependency graph of this data science project look like this: – – Now lets see how it is possible to speed up and simplify…


Instead of arguing about Python vs R I will examine the best practices of integrating both languages in one data science project.

Continue reading “Best practices of orchestrating Python and R code in ML projects”

AI is revolutionizing neuromarketing

AI is revolutionizing neuromarketing on @venturebeat  #INBOUND17 #ai #ml

  • In recent years, AI has offered a huge boost to neuromarketing — the science of reading consumers’ minds to gauge their reactions to marketing stimuli.
  • When combined with AI-based facial recognition, biometric insights can offer even more accurate data about consumers’ responses to marketing messaging.
  • IBM’s Watson — the company’s computer system that answers questions delivered in natural language — doesn’t use biometric data to gauge the excitement at an event.
  • What makes these methods more than merely interesting is the fact that they provide the means to obtain data about consumers’ emotional reactions in real time and adjust marketing messages accordingly.
  • Once AI is fully adopted in neuromarketing processes, marketers will have the ability to call on consumers to crowdsource their marketing campaigns without the fear of collecting unreliable data.

An unfortunate fact about humanity is that people lie. While this is a chronic issue for human relations, it’s one that may be less of an issue for marketers of the future, thanks to non-human intervention.
Continue reading “AI is revolutionizing neuromarketing”

Insurtech is targeting the back office

#Insurtech is targeting the #backoffice



#AI #fintech @Sbootcamp @sbcInsurTech @PwC

  • Now, however, back offices are beginning to benefit, according to a study from Startupbootcamp InsurTech and PwC to be published today.
  • Here are some of the study’s main findings:

    However, a big barrier still stands in the way of insurtechs realizing their full potential.

  • But Startupbootcamp and PwC’s study found that only 17% of incumbents think they’re good at collaborating with insurtechs, and that many startups find such partnerships “frustrating” and slow.
  • Until this obstacle is overcome, insurtechs might struggle to become indispensable partners for legacy players, regardless of the complexity of the problems they decide to tackle.
  • Sarah Kocianski, senior research analyst for BI Intelligence, Business Insider’s premium research service, has compiled a detailed report on insurtechs that:

    To get the full report, subscribe to an All-Access pass to BI Intelligence and gain immediate access to this report and more than 250 other expertly researched reports.

This story was delivered to BI Intelligence…
Continue reading “Insurtech is targeting the back office”

Machine Learning In Laymen’s Terms

#MachineLearning In Laymen's Terms -  #ArtificialIntelligence #AI

  • Industry experts are predicting that the combination of Machine learning and hence AI and Internet of Things (IoT) will be the new technological era setter and the businesses, startups, governments etc. will invest huge numbers in the same.
  • I am addicted to this game, and I realized that the particular game is the best way to narrate “What Machine Learning is” with a Layman’s level of knowledge.
  • Let’s see Paper Toss example in Machine and Non-Machine Learning approach.
  • Now, if you add the wind flow using a fan in the system, the system will continuously miss the target because the force and the angle of projection are pre-set using a formula that works only for a particular condition.
  • The most accepted technical definition of Machine Learning is

    “A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.” — Tom Mitchell, Carnegie Mellon University.

Machine Learning A Laymans Understanding.
Continue reading “Machine Learning In Laymen’s Terms”

Try Deep Learning in Python now with a fully pre-configured VM

Try #DeepLearning in #Python now with a fully pre-configured VM

  • Try Deep Learning in Python now with a fully pre-configured VMI love to write about face recognition, image recognition and all the other cool things you can build with machine learning.
  • If you aren’t a long-time Linux user, it can be really hard to figure out how to get a system fully configured with all the required machine learning libraries and tools like TensorFlow, Theano, Keras, OpenCV, and dlib.
  • To make it simple for anyone to play around with machine learning, I’ve put together a simple virtual machine image that you can download and run without any complicated installation steps.The virtual machine image has Ubuntu Linux Desktop 16.04 LTS 64-bit pre-installed with the following machine learning tools:Python 3.5OpenCV 3.2 with Python 3 bindingsdlib 19.4 with Python 3 bindingsTensorFlow 1.0 for Python 3Keras 2.0 for Python 3Theanoface_recognition for Python 3 (for playing around with face recognition)PyCharm Community Edition already set up and ready to go for all these librariesConvenient code examples ready to run, right on the desktop!Even the webcam is preconfigured to work inside the Linux VM for OpenCV / face_recognition examples (as long as you set up your webcam to be accessible in the VMware settings).
  • So don’t the VirtualBox version unless you don’t have any other choice.You need VMware to run this virtual machine image.
  • Right-click on the code window and choose “Run” to run the current file in PyCharm.If you configure your webcam in VMware settings, you can access your webcam from inside the Linux virtual machine!

I love to write about face recognition, image recognition and all the other cool things you can build with machine learning. Whenever possible, I try to include code examples or even write libraries…
Continue reading “Try Deep Learning in Python now with a fully pre-configured VM”

The Air Force just demonstrated an autonomous F-16 that can fly and take out a target all by itself

🇺🇸 Air Force autonomous F-16 can fly and take out a target all by itself

#AI #IoT #drones

  • In its quest to meet and exceed the challenges of the future, the US Air Force has been increasingly looking to unmanned systems — and a recent test proved that an unmanned F-16 can now think and fight on its own.
  • The US has used F-16 drones before as realistic targets for the F-35 to blow up in training, but on Monday it announced fully autonomous air-to-air and ground strike capabilities as a new capability thanks to joint research between the service and Lockheed Martin’s legendary Skunkworks.
  • Not only did the F-16 drone figure out the best way to get there and execute a ground strike mission by itself, it was interrupted by an air threat, responded, and kept going.
  • “We’ve not only shown how an Unmanned Combat Air Vehicle can perform its mission when things go as planned, but also how it will react and adapt to unforeseen obstacles along the way,” said Capt. Andrew Petry of the Air Force Research Laboratory in a Lockheed Martin statement.
  • The future of the US Air Force may well depend on advanced platforms like F-35s commanding fleets of unmanned drones which can act as additional ears, eyes, and shooters in the sky during battles.

“We’ve not only shown how an [F-16 drone] can perform its mission when things go as planned, but also how it will react and adapt to unforeseen obstacles”
Continue reading “The Air Force just demonstrated an autonomous F-16 that can fly and take out a target all by itself”

Samsung could be investing $1 billion into artificial intelligence

#samsung could be investing $1 billion into artificial intelligence

  • There’s little denying that the continued advancement of AI will be an important part of our future, and companies like Samsung will be a big part of this push forward, at least if the latest claim proves correct.
  • A new report from The Korea Herald indicates Samsung is considering the creation of a $1 billion fund to invest in the future of artificial intelligence.
  • The unnamed source is a Samsung official from the USA, claiming this money is to be used towards AI tech company acquisitions and investments in stakes.
  • This report seems to imply Samsung sees great potential in the future of AI.
  • This would make sense, as it has already been reported Samsung is open to working with google on AI, as well as investing in its own artificial intelligence services.

While many worry about artificial intelligence, Samsung believes it could be an important part of the future. Or at least that is what the latest rumors suggest.
Continue reading “Samsung could be investing $1 billion into artificial intelligence”