Why Python is the best choice for learning machine learning

Even people far from the world of programming follow the progress of technology these days. Science, medicine, business and any number of narrower fields are hard to imagine developing without machine learning. The idea of building innovative products in the USA and having a direct hand in technological progress is a tempting one. But before you set out to conquer those peaks and picture the whole of America discussing what you built, it is worth learning the fundamentals.

Want to become a machine learning expert? Start by learning a programming language. In this article we look at what Python offers machine learning, how learning the language goes, and what PASV offers students on the course.

What Python offers machine learning

Python's three great advantages are simplicity, flexibility and real power. Point by point, here is why it leads the field:

1. Approachability. This matters enormously to newcomers whose knowledge of code goes no further than knowing it gets written. Choose Python and you will quickly pick up the basic concepts — variables, loops — understand how to write and test code, and then move on to machine learning itself. You will not get bogged down in syntax, which matters a great deal when you are learning the discipline you actually came for.
2. Cross-platform support. Python gets along with macOS, Windows and Linux alike. You never have to port code between machines or hunt for special settings to get something done. Better still, Python integrates with other languages, letting you use their libraries and systems effectively.
3. A remarkable ecosystem. Learn Python and you gain a whole set of libraries for working with data and neural networks, for visualisation and for implementing algorithms. That makes the work appreciably easier.

The language also works well with cloud services, which helps when handling large volumes of data.

Why machine learning is faster and easier to learn in Python

The language's simplicity is not the only reason the discipline takes less time to master. Studying machine learning in Python gives you:

• A wide range of good resources for the profession.
• The freedom to concentrate on the concepts. You spend less time on technical details and get to building projects sooner.
• Somewhere to practise, in Jupyter Notebook and Google Colab.
• Results you can see, thanks to Seaborn, Matplotlib and Plotly. These are powerful visualisation tools that let you show the outcome of an experiment clearly.

Machine learning in Python, from scratch or with experience

Studying machine learning in Python lets you move from theory to practice faster and grasp the field's key concepts in earnest. The skills you gain apply readily in the USA, Canada, Europe, Asia and beyond.

PASV offers:

• A structured, thorough Machine Learning Engineer programme taking you from scratch to junior level.
• Regular online classes on a convenient schedule.
• Plenty of practice with feedback from the instructors.
• Teaching by working programmers based across America, Europe and Canada.
• An internship on a commercial project and work on a real product.
• Preparation for interviewing at an international company.

Sign up now and in eight months you will be a promising specialist in machine learning.