Best Coding Bootcamp

  Machine learning is a complex yet rewarding field and plenty of data experts are dedicating their career to this domain. ML and artificial intelligence go hand in hand so if you are new to this arena, you need to sign up for a course to advance your learning. But before you jump all in, there are particular skills that you need to develop for a smooth transitioning. The foremost step is to find out which are the best programming languages for ML. But before that, let us understand the basics first. What is machine learning? It is a subset of AI and a study of computer algorithms that are capable to learn on their own. Although they begin with basic instructions from a programmer, these algorithms learn to advance on their own. They fulfill this by taking in more data and forming new patterns and identifying trends. Where is ML used? The main application of ML is to create programs that are not practical for humans to handle. This is because there is a huge amount of data to sort...

In the last few years, data scientists who analyze a huge amount of data and possess the capability to identify valuable insights have become an important asset for business teams. Hence, the U.S. Labor Statistics Bureau has projected a 15% spike in the demand for trained machine learning engineers and data scientists in the coming years. Completing a machine learning course can impart enough knowledge to any developer to make their entry in this field easier. According to a report by Glassdoor, an ML engineer can earn an average salary of $115,000 annually in the US which makes it an attractive field for many prospective coders. To gain a competitive edge over your competitors, you should have a working knowledge of programming languages like Java, C++, and Python along with big data technologies like Hive, Impala, and Hadoop. Understanding Machine Learning It is a technology that has made its root deeper into our world by making us capable to automate various crucial and daily tasks...

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