This article introduces the concept of artificial intelligence in a simple and fundamental way, likening AI systems to functions that convert input to output. It explores the potential of AI, including general artificial intelligence (AGI), and acknowledges the challenge of computing the correct function for complex tasks. Ultimately, it demystifies AI by defining it as a function.
When looking for a simple explanation of artificial intelligence (AI), you will most likely find something like the following: Artificial intelligence is the ability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and understanding natural language. This explanation is simple in the words it uses, but it’s unsatisfying.
Learning is a lifelong pursuit that opens doors to new opportunities, expands our horizons, and enhances our understanding of the world around us. Whether you’re embarking on a new academic journey, acquiring new skills for professional growth, or simply pursuing a personal passion, the process of learning can be both exhilarating and challenging. To make the most of your learning experience and accelerate your progress, it’s critical to use effective strategies that optimize knowledge retention and comprehension.
There are three skills that are critical for a programmer to have. And guess what? Artificial intelligence can be your trusty sidekick, supercharging these skills and helping you become a coding superhero.
The built-in bool() function will return the boolean equivalent of any argument it's give.
Counter is a member of the collections module. You can give Counter() any iterator, and it will return a hashmap (like a dictionary) with the counts.
The Python set constructor, set(), is a function that crates a Python set - a collection data structure that holds unique unordered elements. The set constructor can create a set out of various iterable data types, such as lists, tuples and strings.
Aside from storing data, dictionaries and lists can also make it easier to write clean code. They can replace cumbersome if/elif, match/case, and long 'or' chains with something simpler.
The difference is short-circuit evaluation, a subtle yet sometimes very significant difference. In short-circuit evaluation, the computer executes the minimum code to figure out the value of a boolean expression.
I've seen many misconceptions about this even in Python lessons and tutorials that teach about the topic. Let's first take a look at what it all means. In a pass-by-reference call, if the function makes an assignment to an argument, the original passed variable also changes. In a pass-by-value call, if the function makes an assignment to an argument, only a local copy changes and the original stays the same.
