Learning to code is an investment, so it makes sense to think about your career goals before diving in. Read about the five major programming languages used in AI: https://hubs.la/Q02_qtYq0
Python's success can be attributed to its open-source nature and exceptional community support. Its human-readable syntax is another significant advantage, making it both beginner-friendly and efficient. Python allows developers to accomplish more with less code, all while maintaining readability and simplicity. It's truly fantastic, isn't it?
DeepLearning.AI I'm really surprised that you didn't include typescript, JavaScript, go, or rust as additional languages... Typescript is the de facto second language in AI in many cases, and super useful when working with deployments with frameworks like Next.js which are really important for development of applications. Go is the back end that a lot of companies in the streaming space like LiveKit use And Rust is fast with good security features and our backend language of choice!
I am using Python for Machine learning. When I full understand machine learning in Python. Then I will learn the R language. Learning progress never stop in life.
I see that Scala Language is not in the list. Is it not recommended or may be consider as a Java alternative ? Thank you for your opinions.
What do you think about Mojo🔥 as an alternative to Python?
Insightful reading, There is just one misleading thing in the guide - the statement that java is much older than python simply isn't true. Python is about 4 years older than Java. Quite surprisingly 😄
def print(): print("P Y T H ON") for i in range(1000000000): print() now you get the answer, right(
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8hThat's smart advice! Planning ahead is key, especially considering the specialized skills needed for AI, like Python or R. What are some other crucial factors people overlook when learning to code for AI careers?