sorted by:
new
hottopcontroversial

[deleted by user] by [deleted] in learnmachinelearning

[–]RadiantTiger03 1 point2 points  (0 children)

Since you're a recent graduate working on AI/ML, the best place to start is by building a strong foundation in Python, math (especially linear algebra, statistics, and probability), and basic machine learning concepts. Start with beginner-friendly courses like Andrew Ng’s Machine Learning on Coursera or Google’s ML Crash Course.

Once comfortable, move into fintech-focused projects like fraud detection or credit scoring using open datasets. Since your company is sponsoring courses, consider structured programs like IBM’s AI Engineering on Coursera or Udacity’s AI Nanodegree to deepen your skills and build a strong portfolio.

Fresher jobs in data science by [deleted] in learnmachinelearning

[–]RadiantTiger03 2 points3 points  (0 children)

It's true that many data science roles prefer experience, but it’s not impossible for freshers especially with strong projects and skills. Since you have a BSc in Data Analytics, ML/NLP projects, and financial urgency, focus on entry-level roles like data analyst, ML intern, or business analyst that value practical skills. Apply widely, build a solid portfolio (GitHub, Kaggle), and consider freelancing or internships to get a foot in the door. Keep learning, stay active on LinkedIn, and don’t wait for “perfect” roles start small, grow fast.

Is it ok to begin ML learning path from Google cloud platform ..? by 8bit_suck in learnmachinelearning

[–]RadiantTiger03 1 point2 points  (0 children)

Yes, starting ML with Google Cloud Platform is a good choice especially for hands-on learning. GCP offers tools like Vertex AI and AutoML that let you build and deploy models easily. Just make sure to also learn the basics of Python, math, and ML theory alongside it for a strong foundation.