Starting our week, we have Sam Altman ranting against the growth at all costs pattern in startups. His take is that finding the right type of growth is more important, mostly with product-market fit. On KD Nuggets we get a discussion on the differences between machine intelligence, machine learning, deep learning and artificial intelligence. Lastly,… Read More Geek Reading January 18, 2016
Leading our day, Hakuna Automata talks about 5 tips for cultivating psychological safety. The basic idea is that you need to know whether your employees can communicate honestly with leadership about their job. In most companies, this type of communication is avoided and sometimes actively discouraged. Liz Keogh writes about BDD, Behavior Driven Development, as a… Read More Geek Reading December 16, 2015
Job Tips For Geeks starts our day with some excellent advice on learning new technologies, try to teach something in order to learn it. Kim Schmidt gives us a very long overview of Artificial Intelligence, Neural Networks and Deep Learning. High Scalability talks about a recent paper regarding coordination avoidance in distributed databases. This is… Read More Geek Reading November 3, 2015
Data, context and analysis has come up a lot lately. I talked about data and context about a month ago when people were arguing about JSON vs. XML. The problem at that time was that people were comparing data formats instead of potential usage: As with any programming problem, different requirements and different contexts may… Read More Data, Context, Analysis And Meaning
A few articles in the past week prompted some thinking about the industry of software development. In this case, when I say software development, I am talking about developing websites, web applications, commercial software, enterprise software and almost anything else that requires someone who can code. When comparing the industry to other scientific industries, software… Read More Bad Programmer, Bad Process Or Bad Education
I have been on a data mining kick lately due to the immense amount of information that sites like Facebook, Twitter and FriendFeed gather every day. I have always loved data mining, mainly because there are a lot of answers waiting to be found in large amounts of data. That being said, I know many… Read More A Really Gentle Introduction to Data Mining
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