How to Get Into Machine Learning: A Practical Path by Background
How to get into machine learning in five stages: math basics, Python and data tools, core ML concepts, projects and a specialization, plus a route per path.
Data Science
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Data Science articles
Is Data Science Dying? What the 2035 Projections Actually Show
No - data scientists are projected to grow 34.6% through 2035. Why the field feels harder anyway, what got automated, and where the value moved.
Will AI Replace Data Engineers? What Is Actually Changing
No - data roles keep growing because AI adoption creates the work. What code generation compresses, what the 3am problem proves, and where to specialise.
Your Complete Guide to Python for AI Courses
A comparison of Python for AI courses from Coursera, DeepLearning.AI, and Harvard’s CS50, with a realistic learning sequence and a practical map of the main Python libraries.
Understanding the Difference Between AI and Machine Learning
A clear breakdown of AI versus machine learning: definitions from OpenAI and Google, a side-by-side comparison table, rule-based versus learning-based workflows, real-world examples, a project framing checklist, and the misconceptions to drop.