'The Best Programming Languages for Data Science and Machine Learning' by selawsky java datascience
This unprecedented level of growth can be owed to the rise in popularity of Artificial Intelligence and Machine Learning. It was around the year 2005; this surge started taking place. Once it hit the market, data science changed everything about the business. By bringing in key elements of specifications, data scientists observed trends of the customers and thus expanded businesses.
The increasingly technical nature of the corporate world has completely changed the job market of the 21st century. Data science and Big Data have emerged to be the key players in the market. They offer brilliant job prospects and opportunities for climbing up the corporate ladder.Big Data offers two major career paths: big data engineer and big data analytics.Transform data into insights that companies can use for better business decisions.
Python is also famous for the high number of libraries in the likes of TensorFlow, PyTorch, SKlearn, Matplotlib, Scipy, Pandas, etc.offers a valuable course in Python 3.Scala is modern and cutting-edge. It is a functional and object-oriented multi-paradigm language that has a scalable approach with a robust and steady type system.
Scala runs on Java Virtual Machine and thus shows seamless interoperability with Java. However, due to the smaller community and complexity of the language, it’s not very suitable for beginners. Taking both facts into account, if you want to learn Scala, it’s good to start with Java first.It is a framework that specializes in stateful computations over data streams both bounded and unbounded in nature.
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