Hey everyone,
I’ve recently started learning Machine Learning, and I’d like to hear from people in the industry or those who have worked on AI/ML projects. What are the important and practical aspects I should focus on?
For example, should I prioritize supervised learning algorithms, or should I give equal attention to both supervised and unsupervised learning? Which one is more relevant and widely used right now?
I’d really appreciate your insights. Thanks!
submitted by /u/new4lpha_q
[link] [comments]
r/cscareerquestions Hey everyone, I’ve recently started learning Machine Learning, and I’d like to hear from people in the industry or those who have worked on AI/ML projects. What are the important and practical aspects I should focus on? For example, should I prioritize supervised learning algorithms, or should I give equal attention to both supervised and unsupervised learning? Which one is more relevant and widely used right now? I’d really appreciate your insights. Thanks! submitted by /u/new4lpha_q [link] [comments]
Hey everyone,
I’ve recently started learning Machine Learning, and I’d like to hear from people in the industry or those who have worked on AI/ML projects. What are the important and practical aspects I should focus on?
For example, should I prioritize supervised learning algorithms, or should I give equal attention to both supervised and unsupervised learning? Which one is more relevant and widely used right now?
I’d really appreciate your insights. Thanks!
submitted by /u/new4lpha_q
[link] [comments]