Python has become the go-to programming language for developers all around the world. From tech giants to consumer-based companies, almost every organization is leveraging the power of Python as it is a general-purpose high-level programming language. With rising complex data sets, the need for efficient algorithms has also increased. Technologies like machine learning are honing the capabilities of Python to create efficient models that simplify complex data sets. If you like working with data sets and have the capability to handle challenging tasks in an organization, consider machine learning using a python course.
With modern technology, such questions are no longer bound to creative conjecture. You have just found Keras. Today i will give a brief introduction over this topic which created headache for me when i was learning this. All video and text tutorials are free. I use Anaconda package that almost wraps up all the Python packages including Jupyter notebook.
Machine learning has become the boon for the IT industry. Now, AI and MI are not a science fiction idea as it has evolved to reality. AI helps in doing the work, which is impossible to do manually. Machine learning is one of the main parts of AI to observe and provide accurate results of massive data. This technology has become a necessity in the business sector in recent years.
There are a lot of programming languages to work on the next Artificial Intelligence (AI) or Machine Learning (ML) project like Java, C#, etc. But among all those programming languages, Python seems to top the list of favorites majorly due to the ease of use with which developers can handle complex coding challenges with Python. Python is a high level, a robust programming language which has its main focus on rapid application development. Because of its core functionality, Python has become one of the fastest growing programming languages making it the obvious choice for developing applications with machine learning, AI, big data and IoT. Python has found its use in a variety of applications – be it the development of basic applications to the requirements of complex programming.