5 Best Books to Learn Machine Learning For Data Scientists
Machine learning has bestowed humanity the power to run tasks in an automated manner. It allows improving things that we already do by studying a continuous stream of data related to that same task. Machine learning has a wide array of applications that belongs to different fields, such as healthcare, finance and manufacturing, and others. Machine learning also forms the basis of artificial intelligence. It is the branch of AI that powers chatbots, customizes the shows that Netflix recommends for you, and determines your TikTok feed. It plays a powerful role in health care technology, where machines can diagnose treatments and even perform surgery.
To become an expert in machine learning, you need to develop a strong foundation in three main areas: Mathematics, coding, and machine learning theory. There is an overwhelming amount of resources and courses out there dedicated to teaching these skills. Good books give individuals the opportunity to learn at their own pace and unlike online courses tend to go into more detail and explanation. They also serve as a great reference. Machine learning is a very broad field, owning a good book means you can always flick through a few chapters for a quick refresher from a concise and well-detailed source.
