Superlearning for data scientists and AI programmers

Occasionally I write posts with specific tips for programmers of different kinds. Nowadays data scientists and AI programmers are in high demand. New areas like deep neural networks, chatbots, and mixed reality pose a new level of challenges. How will you treat these challenges as superlearners is up to you. This post focuses on working …

Superlearning for programmers: data science and neural networks

Occasionally I write posts with specific tips for programmers of different kinds. Nowadays data scientists and AI programmers are in high demand. New areas like deep neural networks, chatbots, and mixed reality pose a new level of challenges. How will you treat these challenges as superlearners is up to you. This post focuses on working …

Superlearning for programmers: benchmark yourself

How do you know if you are a good programmer? There is no single criterion. This test provides some benchmark for your abilities. What other tools do you have to judge your own abilities? Programming polyglot Just like knowing many languages facilitates some business transactions, knowing many programming languages facilitates your conversation with other programmers …

For programmers: tips for functional programming

When we are talking about functional programming, we are talking about speed, efficiency and cross-platform support. Functional code is very close to machine language. It may use intrinsics of the processor, GPU code, SSE/Neon optimization, and lots of pointers. I love functional programming for its purity and no-nonsense approach. Functional programming may be dangerous and …

Superlearning for programmers: learning new programming languages

When I first learned to program back in early 90s, I thought that knowing the grammar of the programming language is what I need. It took me excruciating week till I could use all MSDOS commands, “for” and “while” loops and some other grammar. I was ready to program! I decided to write a racing …