Why Learn Python for Machine Learning?
Datamites Team
In the IT industry, machine learning is the cool kid and is favoured by almost every industry out there. Artificial intelligence (AI) has improved the user experience and added value across numerous industries by allowing our programmes to see, hear and reply. Better personalisation, smarter recommendations, and improved search functionality are all things we’d want to see.
They employ machine learning to improve the speed and range of their spacecraft. It was also befriended by Uber, Tesla, and Google to name a few popular companies. There is one additional thing that these businesses share in common. For their machine learning projects, they all utilise Python as their primary language.
As shown in a Forbes report, by 2024, the global machine learning market would be valued at more than $30.6 billion.
How much is the Machine Learning Engineer Salary?
- The national average Machine Learning Engineer salary in the United States is USD $1,31,001 per year. (Glassdoor.com)
- The national average Machine Learning Engineer Salary in Germany, Europe is €53589 per annum. (Payscale.com)
- The national average Machine Learning Engineer Salary in India is INR 8,50,397 per year. (Glassdoor.com)
The best way to become a Machine Learning Engineer or to make a career out of ML is to acquire the best training out there for ML. Machine Learning Training Fees can generally vary from 198.27 USD to 1321.83 USD (15,000 INR to 1,00,000 INR) in accordance with the subject of training you choose to attend. DataMites Machine Learning Certification Training Fee starts from 178.93 USD (13,545 INR) and can range upto 792.60 USD (60,000 INR) according to the mode of training you choose – Live Online, Classroom or Blended mode of training.
Python has quickly become the language of choice for machine learning programmers. Python’s services are appropriate for machine learning engineers. If you’re working on machine learning applications, Python is the way to go. This language has a higher level of trustworthiness than others. It’s also plain sailing to handle and apprehend.
In consonance with Github, Python is the most popular programming language for Machine Learning.
Python is a language that is both reliable and adaptable, and it provides developers with a variety of tools. Python is the best choice for machine learning because of all of these features. Python is assisting developers in being more productive and confident in the programme they are producing, from development to implementation and maintenance.
Also read:
Python Course Fees
DataMites offers a variety of learning choices, including Exclusive Python Classroom Training, Online Python Courses, and Outstanding Recorded Sessions. The DataMites Python Course Fee in the United States ranges from 133.23 USD to 456.20 USD, depending on your desired learning method. In Europe, the Python Course Fee ranges from 117.88 Euros to 412.60 Euros, whereas, the Python Course Fee in India ranges from INR 10,000 to INR 35,000.
How much does a Python Developer get paid?
- The Python Developer Salary in the US is $96,890 on a yearly basis. (Glassdoor.com)
- The Python Developer Salary in Germany, Europe is €56,424 annually.
- The Python Developer Salary in India is INR 4,55,783 per year. (Glassdoor.com)
Check out the video – Do you prefer Python or Java?
Why is Python becoming a popular option for ML?
- Python is a simple programming language.
Nobody loves too complicated things, which is why Python’s ease of use is one of the key reasons for its popularity in Machine Learning. It is easy to learn and use, with a straightforward syntax that appeals to both experienced programmers and students.
- Python comes with a number of libraries and frameworks.
Python is already very popular, and as a result, it has hundreds of libraries and frameworks that developers may utilise. These modules and frameworks save a lot of time, which helps Python become even more popular. Here are a few examples:
- Machine learning frameworks are Keras, TensorFlow, and Scikit-learn.
- SciPy is a Python tool for doing complex calculations.
- Seaborn is a platform for data visualisation.
- Pandas is a data analysis tool that can be leveraged for numerous processes.
- NumPy is a Python package for scientific computing and data analysis.
- Python has a large community.
Python learners can quickly enhance their Machine Learning skills, resulting in a rise in popularity.
- Python Support in the Workplace
Furthermore, corporate sponsorship is critical to Python’s success in machine learning. Python is used by many leading firms, including Google, Facebook, Instagram, Netflix, Quora, and others. Indeed, Google is solely responsible for the creation of several of the Python libraries for Machine Learning, including Keras, TensorFlow, and others.
- Allows for simple and effective deployment.
Python’s straightforward and strong implementation makes it one of the top choices for Machine Learning. Because of the large number of libraries, resources, and tools available, you can utilise Python for Machine Learning even if you only have a rudimentary understanding of the language.
- Extensible and transportable
Python’s Machine Learning popularity can be traced to this. Python’s portable and extendable nature enables it to pick up an expansive cross-language task. Many data scientists want to train their machine learning models on their own machines using Graphics Processing Units (GPUs), and Python’s flexible concept is ideal for this.
Conclusion
Machine learning has had a significant impact on the world we live in today, with new applications appearing all the time. Python is being used by developers at every stage of the problem-solving process. While various programming languages can be used for AI applications, python is the most cutting-edge of them all, with important concerns.
Python is quickly becoming one of the most popular programming languages in the world, with newcomers and experts alike picking it up. Because of its expanding popularity, it will be easier to find developers with the necessary skills to work on machine learning projects.
Candidates who are interested in learning Machine Learning with Python can enrol in DataMites Machine Learning with Python Training and master the Python programming language in preparation for a career in python and AI. DataMites Machine Learning with Python Course fee is 634.71 USD (48,000 INR) but if you enrol now, you can get the training at just 317.95 USD (24,045 INR). Our courses are accredited by the world-renowned IABAC, and DataMites is the leading provider of Data Science and AI training.
For further reading:
Python vs C++ – What are the differences?
Python vs Ruby?
