Today is the International Day of Education and while the word education may bring to mind more conventional subjects such as literature, mathematics, philosophy, and art; the evolving nature of technology has brought us many interesting and new avenues of knowledge to explore.
Machine Learning. Big Data. Artificial Intelligence — these seem to be the way forward.
If any of these words intrigue you then perhaps it may be worth exploring the world of AI and Data Science. If you have ever been delighted by the way your Pinterest manages to find exactly the kind of content you love or how Google predicts your search query as you type it, then you have come into contact with various applications of Machine Learning and Artificial Intelligence. Interested and want to learn more?
We have curated a list of beginner-friendly tutorials to help you kickstart your ML/AI journey:
- Python for beginners
- NumPy: In Machine Learning and data science, you will frequently need to work with large datasets. NumPy Is a Python Library that helps process large arrays. You might already be familiar with most of the mathematical functions introduced here. They just have a slightly different syntax and approach and will be quite useful when you are working.
- Pandas: Pandas is a library that machine learning engineers and data scientists cannot live without. It introduces the concept of data frames and allows for much easier data analysis.
- Matplotlib: When you are analyzing your data, you would need to visualize the data on a graph or two quite frequently. Matplotlib is going to be your friend in that area. You can also check out Matplotlib for images.
Machine Learning and AI have various modern uses and applications, and as a result, Machine Learning Engineers are in high demand. Pretty soon you will be creating complex, automated algorithms, identifying trends and patterns in large amounts of data and so much more. The possibilities are endless!