You constantly have to correct an AI when using it because it either didn't get the question right or you guide him towards a more narrowed answer. There is only more to learn.
I'm a reliable developer with more than 10 years of experience working with web apps. Used to work with international teams. 2 years remotely. I like to be involved from product planning to support to understand what users want and get as much feedback as possible. Don't hesitate to drop me an email :)
What was meant is that you can access most of Youtube's content without having to log in, whereas of Facebook which requires you to be authenticated most of the time to access content.
I would see it the other way around, where real and stable economies don't depend on oil export. We will see them in the coming years. An economy that mostly rely on one and unique natural resource can only suffer in the medium term.
You might get a big traffic from HN and don't get much out of it. People might just go, read a page and bookmarked it or think they will come back later. But they usually don't.
If I was prompted or had a field where I could enter my email address to get the best story of a genre I picked at the end of each week, I would gladly enter my email address. Convert!
Data Scientist | Companybook | companybooknetworking.com | Full Time | On site | Oslo, Norway
As a Data Scientist you will work with TBs of structured and unstructured data and apply state of the art Machine Learning and Data Mining techniques on it. You will have the central position in the dev team since all Companybook's products depend on massive amounts data. You will be involved in all phases of the development: from the analysis and design to the implementation. As a Data Scientist you will have the ability to shape the future all our business by adding intelligence to all our data products.
Responsibilities:
- Advise the dev team on all aspects of Machine Learning and Data Mining
- Select the most appropriate ML tools and techniques for solving particular data challenges
- Transform and convert unstructured data set into structured data products
- Train and build machine learning models to meet business goals
- Collect, process, cleanse, and merge raw data from a wide variety of structured and unstructured sources.
Skills & experience
Required:
- MS (PhD) in Computer Science, Machine Learning or Statistics
- Strong theoretical background and practical experience in machine learning and information retrieval
- Strong working knowledge of all core ML techniques: clustering, regression, classification,..
- Excellent written and verbal communication skills.
You don't cash in straight after an IPO, most of the time the current owners of shares have to wait X amount of time before they can sell shares. I guess this help keeping the company stable.
Don't feel sorry for us, we are very happy :) I'm so happy when I can show my latest pictures to my grandma, read my comics (all in one device), or look up for questions I have / inspiration on internet... all of this I was doing before with different mediums (books, photo paper, dictionaries etc.).
So yes it is enriching my life as I have so many things in one small device that I can look up in a few seconds and can carry around so easily.