The tradeoff between variance and bias
The tradeoff between bias and variance is a fundamental concept in the field of machine learning, and it refers to the fact that there is always a balance to be […]
11
Dec
The tradeoff between bias and variance is a fundamental concept in the field of machine learning, and it refers to the fact that there is always a balance to be […]
13
Sep
When you talk about the domain of AI (Artificial Intelligence) and ML (Machine Learning), most experts would suggest you learn Python and R programming languages. Java is seldom talked about and yet, you can use it for AI, ML, etc. According to some 2017 studies, it’s the front-end web developers who leverage their familiarity with JavaScript to machine learning. It was found that 16% prioritized Java for the purpose, while 8% were found to avoid the cumbersome C/C++. It was noticed that front-end desktop application developers prioritized Java more than others (21%), which was in line with Java’s frequent use in enterprise-focused applications. The studies found that enterprise developers tend to use Java in all projects, which included machine learning as well. Though Python and R have their own advantages, you can also use Java for machine learning, AI, and other areas of data science if you’re already adept in it.