Machine learning is exciting, yet, it may sound more complicated than it is actually is. This course empowers you with the necessary theory and practice to become confident about how machine learning works by building a hands-on solution.
Machine learning is perceived as a difficult, challenging, and math-intensive topic. In this course, Building Your First Machine Learning solution, you will discover the magic of machine learning and understand the theory behind it. First, you will learn what machine learning is, its types, its applications, why it is getting traction, and what its phases are. Next, you will discover how vital the data is for machine learning solutions, how to source it, analyze it, and pre-process it for subsequent machine learning steps. Finally, you will explore how to train your machine learning algorithms and evaluate them. Moreover, you will develop knowledge around recent trends in machine learning, such as AI as a Service. When you are finished with this course, you will have a firm understanding of machine learning with the ability to build a basic regression machine learning solution.
Mohammed Osman is a senior software engineer who started coding at the age of 13. Mohammed worked in various industries, including telecommunication, accounting, banking, health, and assurance. Mohammed's core skillset is a .NET ecosystem with a strong focus on C#, Azure, and Data Science. Mohammed also enjoys the soft-side of software engineering and leads scrum teams. Mohammed runs a blog with the message "Making your code smart and your career smarter." He shares tips and techniques to improve your code and valuable career pieces of advice in his blog.
Course Overview Hi everyone, or salaam, as I say it in my local language, and welcome to my course, Building Your First Machine Learning Solution. I'm a senior software developer and a machine learning enthusiast at smartercode.io. Machine learning is becoming more popular and popular. Some people use it as just a buzzword, while others know it down to the roots. In the age of data abundance and cloud computing, machine learning became a low‑hanging fruit compared to the _____, and it's a necessary skill for any organization that aims to achieve success using data, which is the new oil. In this course, we are going to build our first machine learning solution. Nothing is expected except a willingness to learn a cool and a high‑demand skill. Some of the major topics that we will cover include what is machine learning and its usage scenarios, how to analyze, visualize, and preprocess data, how machine learning trains and evaluates algorithms, other topics such as machine learning DevOps and AI as a Service. By the end of this course, you will be able to build your first machine learning solution and have a solid understanding of what machine learning is. Before beginning the course, it's recommended to have a basic level of knowledge in Python, but it's not a requirement. From here, you should feel comfortable diving into more advanced machine learning concepts with courses on how machine learning algorithms work, machine learning model improvement techniques. I hope you will join me in this journey to learn machine learning with the Building Your First Machine Learning Solution course, here at Pluralsight.