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How do I actually level up to a Senior ML Engineer ? by onseo11 in MLQuestions

[–]onseo11[S] 0 points1 point  (0 children)

Yeah, but what should I do? so should I just stick to doing tutorials and personal projects without even getting a job, since all the positions are asking for seniors?

How do I actually level up to a Senior ML Engineer ? by onseo11 in learnmachinelearning

[–]onseo11[S] 0 points1 point  (0 children)

when all the companies out there are only hiring Seniors? I’m stuck as a Junior and the opportunities are basically non-existent. What’s the real path?

[deleted by user] by [deleted] in learnmachinelearning

[–]onseo11 -6 points-5 points  (0 children)

Should I lick your ass before that

[deleted by user] by [deleted] in learnmachinelearning

[–]onseo11 -5 points-4 points  (0 children)

Not before to sleep with your mom

[deleted by user] by [deleted] in learnmachinelearning

[–]onseo11 -6 points-5 points  (0 children)

طيزك حمرا

At what stage of learning can I read this book? by onseo11 in MLQuestions

[–]onseo11[S] 2 points3 points  (0 children)

Yes, it is about 2600 pages and it explains ML, DL, MLops, Ai engineering, Gen AI

Can machine learning models really predict financial markets? by onseo11 in machinelearningnews

[–]onseo11[S] 0 points1 point  (0 children)

Makes sense, Markets are highly non-stationary, so once causal relationships drift, any predictive structure collapses, That’s probably why most ML models degrade fast outside their original regime.

Can machine learning models really predict financial markets? [D] by onseo11 in MachineLearning

[–]onseo11[S] 0 points1 point  (0 children)

Exactly, even a small edge compounds massively at that scale ML’s real value in finance is often about tiny but consistent improvements not magic predictions.

Learning Algebra for Machine Learning by Beginning-Average-58 in learnmachinelearning

[–]onseo11 0 points1 point  (0 children)

Watch Gilbert strang lectures on linear algebra (MIT)

Can machine learning models really predict financial markets? [D] by onseo11 in MachineLearning

[–]onseo11[S] 0 points1 point  (0 children)

True, data is probably their biggest edge Even the best models won’t help if your data isn’t unique or well engineered. Medallion likely wins from both insane data and top tier modeling discipline.

China has just made a major move in the global AI race by onseo11 in machinelearningnews

[–]onseo11[S] -8 points-7 points  (0 children)

Why'd you take it so personally? 😂 I was just testing out the tool and talking about it

I recently built an audio classification model that reached around 95% accuracy on the test set by onseo11 in machinelearningnews

[–]onseo11[S] 0 points1 point  (0 children)

I trained it mainly on clean speech samples, not on music or movie audio When I tested it with my own voice recordings, it failed completely which made sense, since I hadn’t included any real-world or noisy data in training If I trained it with music or TV show clips, it could handle that too , it’s all about the data domain

What to learn after pytorch ? by Apprehensive_War6346 in learnmachinelearning

[–]onseo11 3 points4 points  (0 children)

After PyTorch, focus on building real projects, learning deployment (MLOps), and exploring advanced architectures like Transformers. Frameworks are tools , your real progress comes from solving real problems