Why use Python than any other language?
Within a decade, machine learning, data science, and artificial intelligence will become the core of any business. Any aspect of a business will be easily handled by the application of these innovative spheres. These spheres use Python as the main language and it is very useful if an aspirant takes up Python machine learning course online Simple Analytics Inc to accentuate his skills.
The reasons why Python is preferred by the leading data scientists, analysts, machine learning enthusiasts, and AI interface developers are mentioned below.
Syntax is pretty simple
The syntax for creating a code is easier in this language. For a beginner, Python can be very helpful as the syntax is based more on natural language. On the other hand, writing codes, executing and testing them are much faster and easier. Machine learning is a very complex yet very interesting sphere where simple language is bliss. Python offers the most useful language platform in terms of simplicity and execution.
Used by Google
The other languages used in this aspect have bigger names behind them. For an instance, Facebook uses PHP, Sun uses Java, and Microsoft uses C#. The biggest brand, Google uses Python. It is the official language of the world’s most popular brand. Since 2006, this brand is using this language to make its systems and platforms better. This is why Python has a better set of resources available in the community. Google has delivered exemplary resources, documentations and guides in this language for use.
Access to the prebuilt libraries
Every project in machine learning and AI differ comprehensibly. This is why it becomes tough for an expert to round up all the codes. The prebuilt libraries of this language can be used to ease the load. The most popular libraries in the world are Scipy and Numpy. These libraries are used by the coders from all over the world for advanced computing and scientific computations. The most interesting among the new ones that match the criteria of machine learning are Microsoft CTNK, TensorFlow, Apache Singa, Keras, Theano, Caffe, etc.
As mentioned earlier, as Google has provided the biggest resource for the Python lovers, it will be easier for the coders to compile using the resources. Anything can be learned using the resources easily. The strong support from the community will be ideal for the aspirants.
A Python machine learning course will be ideal for an aspirant to start and take a brilliant step forward in the world of machine learning to enjoy the prospects.