How good is coding ninjas machine learning course?

Coding Ninjas is a great platform to start your journey with coding. I joined them in 2018 and completed the C++ course under Nidhi maam’s guidance. The course helped me to understand concepts of DS and algo in-depth and moreover helped me to crack many coding tests and interviews.

Is Google’s machine learning course good?

Final verdict. It’s undoubtedly a great online course. But what I seriously think is that each person who completes the course, might take-away different learning outcomes. For some, it could be a naive repetition of the same concepts and they might feel wastage of time.

What is Google doing with machine learning?

Google services, for example, the image search and translation tools use sophisticated machine learning. This allows the computer to see, listen and speak in much the same way as humans do. Much wow! Google uses machine learning algorithms to provide its customers with a valuable and personalized experience.

Is machine learning a safe career?

Yes, machine learning is a good career path. According to a 2019 report by Indeed, Machine Learning Engineer is the top job in terms of salary, growth of postings, and general demand.

Does Google provide certificate for ML crash course?

Machine Learning Crash Course is a self-study guide for aspiring machine learning practitioners. No formal certification or course credit is provided for completion of the course material. For more information regarding machine learning training opportunities or related community events in your area, visit Google AI.

Is Google developing AI?

Speaking at the TED conference in Monterey, California, this week, he revealed that Google is developing a nimble, multi-purpose AI that can perform millions of tasks. Called Pathways, Google’s solution seeks to centralize disparate AI into one powerful, all-knowing algorithm.

Are machine learning engineers happy?

Nearly 1 out of 5 (19.4\%) data professionals indicated that they were very satisfied (ratings of 9 or 10) with their job. On the other hand, jobs with high levels of satisfaction appear to emphasize math/statistics skills (e.g., machine learning engineer, data scientist, predictive modeler, scientist/research).