Machine learning, or so-called “deep learning,” has become one of the most popular trends today, much like data science and artificial intelligence, known as AI.
We are living in the era of machine learning algorithms: if we check an IT forum or the hottest IT trends, we will undoubtedly come across artificial intelligence. Fun fact: the first algorithms appeared in the 1940s, but due to the rapid development of information technology, machine learning is truly coming into its own now. This is far from science fiction, as these algorithms are part of our everyday devices. Some examples include Facebook suggesting people we may know, our phones reading our fingerprints, and even recognizing our faces, and targeted advertisements appearing based on our online behavior, and so on.
According to statistics, the demand for programmers specializing in artificial intelligence (AI) has increased by a remarkable 74% in just 4 years.
Few questions might arise:
- What makes it so popular?
- In which fields can it be applied?
- What is machine learning, anyway?
- How can I learn it, or at least get started?
- Why should I choose Python, specifically?
Below, we are trying to provide answers to these questions.
What makes it so popular?
Artificial intelligence is currently one of the fastest-growing fields, driven not only by technological advancements but primarily by the vast amount of available data. With the increasing need to process large datasets, new technologies are constantly emerging, capable of operating complex systems.
There is a growing demand for experts in these processing systems, creating excellent career opportunities. Everyone is caught up in the AI craze, with many believing that AI will be the next major leap in development, similar to the advent of electricity in its time.
In which fields can it be applied?
AI covers vast fields. Machine learning, data science, the creation or analysis of statistics, natural language recognition—all are influenced by AI. Anything that previously required human intelligence, such as visual perception, speech recognition, decision-making, language translation, can be gradually replaced with the help of AI.
What is machine learning?
Machine learning is considered a subset of artificial intelligence. An ‘intelligent’ program attempts to mimic human thinking, most crucially by performing tasks on its own, not just executing commands written by humans. Machine learning teaches computers to learn and evolve based on past data and experiences, much like the human brain.
One way to train computers to use human logic is through the use of a neural network. This is a series of algorithms designed based on the model of the human brain.
With minimal human intervention, they can operate by evaluating data and recognizing patterns. The essence and power of the concept lie in the fact that essentially any task can be performed and automated with the right data and the creation of suitable rule systems.
Machine learning will soon provide opportunities for companies to replace tasks and jobs that were previously exclusively done by humans, such as customer service calls, accounting, resume processing, etc., with artificial intelligence.
How can I learn it, or at least get started?
If you’re curious about how to dive in and get to know machine learning, the answer is to explore numerous articles, videos, and forums covering the topic. Learning machine learning requires dedication and continuous learning beyond programming skills and mathematical abilities. Initially, it is highly recommended to learn Python first, and then expand your knowledge in machine learning, for example, with the help of YouTube channels dedicated to this field.
Why should I choose Python, specifically?
Python is an object-oriented, high-level programming language that is relatively easy to understand and highly efficient. It is an elegant tool with simple usage.
Python is a good choice for everyone, even if you have no prior experience with any programming language. It is a popular language in the world of machine programming due to its versatility and platform independence, allowing the use of modules transferred from other programming languages. Thanks to its active and large community, Python is continuously evolving.
If you feel a desire within yourself to delve into an incredibly new and interesting field that will soon impact every aspect of our lives, all while building a career, then you should not hesitate to start learning. Remember: for the machine to learn, you must first learn!
