There are many open-source projects in Artificial Intelligence that are never heard of. But many of these projects also grow to be part of the fundamentals in Artificial Intelligence. Everybody has heard about TensorFlow in the AI world! But it was initially just a project by the Google Brain team for internal Google use. Similarly, most of these open-source projects start as passion projects of developers in universities or tech companies like Google, Microsoft, etc.
The human brain is one of the most mystic creations, something that helped us leap into the era of existing science and technology. But with the advent of the 21st century, we all have realized that even after having such power in terms of intelligence, we still lack in many aspects which are consciously not in our control. This is where Artificial Intelligence steps in. In simple terms, we define Artificial Intelligence as'Intelligence possessed by machines'. But in a broader aspect, we define this as a simulation of human intelligence so that we can automate tasks that usually require some IQ to be performed.
Nowadays many misconceptions are there related to the words machine learning, deep learning and artificial intelligence(AI), most of the people think all these things are same whenever they hear the word AI, they directly relate that word to machine learning or vice versa, well yes, these things are related to each other but not the same. Machine Learning: Before talking about machine learning lets talk about another concept that is called data mining. Data mining is a technique of examining a large pre-existing database and extracting new information from that database, it's easy to understand, right, machine learning does the same, in fact, machine learning is a type of data mining technique. Here's is a basic definition of machine learning – "Machine Learning is a technique of parsing data, learn from that data and then apply what they have learned to make an informed decision" Now a days many of big companies use machine learning to give there users a better experience, some of the examples are, Amazon using machine learning to give better product choice recommendations to there costumers based on their preferences, Netflix uses machine learning to give better suggestions to their users of the Tv series or movie or shows that they would like to watch. Deep Learning: Deep learning is actually a subset of machine learning.
Machine Learning is the hottest trend in modern times. According to Forbes, Machine learning patents grew at a 34% rate between 2013 and 2017 and this is only set to increase in the future. And Python is the primary programming language used for much of the research and development in Machine Learning. So much so that Python is the top programming language for Machine Learning according to Github. However, while it is clear that Python is the most popular, this article focuses on the all-important question of "Why is Python the Best-Suited Programming Language for Machine Learning?"