This course provides a comprehensive introduction to machine learning concepts, offering a non-technical approach that requires no coding. Through hands-on exercises, you will gain a solid understanding of the fundamental principles that underpin machine learning. The course begins by demystifying machine learning, clarifying its definition and its relationship to data science and artificial intelligence. You will also become familiar with the terminology associated with machine learning and gain insights into the machine learning workflow for model development. In addition, the course delves into the realm of deep learning, exploring its applications in computer vision and natural language processing (NLP). Furthermore, it addresses the limitations and potential risks associated with machine learning. By the end of this course, you will have a solid foundation in machine learning concepts, enabling you to comprehend the driving force behind the machine learning hype and its wide-ranging applications, from self-driving cars to personalized Amazon recommendations.