I like change. More precisely, I like improving things. An as some of the people in my entourage would say, I can be a bull in a china shop. So this book sounded interesting.
I love reading books on signal processing, especially on audio signal processing. From books on using effects to a so-called reference, I still enjoy reading them, even if they are frustrating. The only one that was is DAFX: Digital Audio Effects, but I haven’t made a review of it!
American universities have some reputation, in all kind of terms, and the amount of student debt is something I also found baffling. So a book on the failure of US universities was obviously of interest to me.
Almost 2 years ago, I published an article on space operas. I just read the last few books in some series, and it’s quite interesting to see the differences in how faster-than-light travel works.
Recently, I took on two classes online on two different providers. After a trial more than a year ago, I decided to try MOOCs and I have a few conclusions from them.
This review will actually be quite quick: I haven’t finished the book and I won’t finish it.
The book was published in August 2015 and is based on OpenGL < 3. The authors may sometimes say that you can use shaders to do better, but the fact is that if you want to execute the code they propose, you need to use the backward compatibility layer, if it's available. OpenGL was published almost a decade ago, I can't understand why in 2015 two guys decided that a new book on scientific visualization should use an API that was deprecated a long time ago. What a waste of time. [amazon_enhanced asin="1782169725" /][amazon_enhanced asin="B01FGMWRO8" /]
After the announce of JUCE 5 release, I played a little bit with it, and then decided to read the only book on JUCE. It’s outdated and tackles JUCE 2.1.2. But who knows, it may be a gem?
Recently, I got access to the latest release of Parallel Studio with an update version of Advisor. 6 years after my last review, let’s dive into it again!
Continue reading Review of Intel Parallel Studio 2017: Advisor
Big data is the current hype, the thing you need to do to find the best job in the world. I’ve started using machine learning tools a decade ago, and when I saw this book, it felt like it was answering some concerns I had. Let’s see what’s inside.
I have to say, I was intrigued when I saw the book. Lots of things about music seem intuitive, from movies to how it makes us feel. And the book puts a theoretical aspect on it. So definitely something I HAD to read.