I have recently completed a course on Coursera called Mindshift, which continues the series or courses started by Learning how to learn. The course was really an eye-opener in some ways for me. Some takeaways I would hardly know about from anywhere else:
- There’s a mode your brain functions in, called diffuse thinking. It allows the brain to absorb the knowledge you have and to build and establish the neuron chains (please don’t quote me!), to make connections to other data that you already have. That is why it is very useful to switch off, after you have been concentrating on some hard problem. While you are doing something else and let your mind wander, it can analyze the information in the background in diffuse, unfocused mode and you might later arrive to the solution easier, as if it happened on its own.
- When you feel emotional, it helps to put labels on your feelings. It helps your brain to switch to the more rational areas of the brain and tone down your emotions.
- The best way to learn is by practicing something. No amount of listening or reading will have the same effect.
- When you have to deal with procrastinations, common ways are to increase pleasantness of the task, probability of reward, and get rid of distractions.
- Some features that you think are your drawbacks can also help you in your learning, life and work. For example, if you are a slow learner, you might have more time and will to go into detail and you might be more flexible, more willing to go off of the well-trodden path.
There was a lot more to that course – I encourage you to and look into it. There was, however, two lectures that were most interesting to me, almost in the end of the course. In them, Professor Barbara Oakley talked about how the videos for the lectures are made and what makes a great MOOC video. These were unexpectedly enlightening. I understood a lot of things about the course videos that I haven’t consiously noticed – for example, how and why animations are used, as in, why the Professor suddenly moves across the screen (or even turns upside down) in an animation! I think a lot of course-makers might benefit from these tips. And indeed they work, because I have listened to a lot of different MOOCs and I can safely say that the Mindshift videos were the most engaging, the least prone to make your mind wander.
Professor McGonagall would not like to see you distracted. – Image from giphy https://giphy.com/gifs/professor-lJxKkyA2B5GyQ/links
All in all, I would highly recommend the course. I might even return to it and listen to the material once more when I have the chance – after all, repetition is also one of the best things you can do to really absorb the material!
Posted in Learning, MOOC
I have been at two conferences very recently. The first one was a Devoxx conference in Belgium, the other one was GoTo Berlin 2017. Both were quite interesting and had some great speakers. But being a spectator, I was noticing some things which help give great talks… and which don’t. So, what are some do’s and don’ts that I could name?
Colin Firth is perfect in every role – image taken from Giphy https://gph.is/1qj4GjG
There’s a lot of utility Java libraries that many projects use as a matter of fact. However, some developers still either remain blissfully unaware that they exists, or “do not want to include too many unnecessary dependencies”, or just don’t know the extent of the APIs that are already included and can be used – but alas, remain untouched. So, what are our options? Continue reading
In our company, no one knows how much others are paid. It was the same in my previous company. I once disclosed my salary accidentally in a previous company, when I gave my application for a US visa to other colleagues as an example of how to fill in the forms. I didn’t think of somehow covering out the salary field. In truth, I forgot about that field at all. So, everyone knew how much I earned, but I still didn’t know that about anyone else. Continue reading
This article is a very simple example of a working asynchronous REST application, made with Spring Boot + Java 8. Spring Boot makes developing web applications almost ridiculously easy, but to simplify the task even more, I took an example from Spring repository called rest-service , forked it to my own repository and changed it for my purposes to create two applications: a client and a server.
Our server app will be a simple REST web service that will query GitHub to get some user data and return it. Our client app will also be a REST web service… that will query the first app! Continue reading
Do you remember Andrew Ng?
I am going to remind you anyway.
Six years ago University of Stanford launched three online software courses called Artificial Intelligence, Machine Learning and Introduction to Databases. (I registered for ML and DB then). The courses were so successful that it allowed Andrew Ng and another Stanford professor, Daphne Koller, launch Coursera a little while later and start all the MOOC craziness. (Now of course it is a huge online learning platform, together with Udemy, EDX, Codecademy, Egghead.io etc., but it was the pioneer in online education).
So. This is a very quick post just to say that Andrew Ng is back with a whole new specialization called Deep Learning. Unfortunately the first session is already started, but you can always just audit the curse or wait for the next session.
(It is not Andrew Ng but it is the video that explains that rockstars are different for everyone. And Andrew Ng is definitely a rockstar.)
Recently JetBrains conducted an extended survey about the developers ecosystem, that is, what languages/frameworks the developers are using, in which companies they work (by size), what is the demographical situation etc. The survey obviously mainly covers the users of JetBrains products, so it is not the whole dev ecosystem, but it is interesting still.
Such surveys usually help to understand which technologies are currently on the rise and which maybe deserve more attention that you gave them. This survey, however, lacks a few things. First, dynamics: it doesn’t have any previous results. How can you see the trends if you don’t have anything to compare with the current figures? Second, I for one would be really interested to see what is the dynamics for the JVM languages has been – it is obvious for example that Kotlin is actively promoted by JetBrains, it was seen in a previous annual report for the 2016. But how does it affect Java? What happens with Clojure and Scala in the meantime? etc.
However, there’s still a lot of info in that report, and there are some key takeaways. Continue reading