Getting Started with AI and Machine Learning
Are you a software professional who would like to learn to use AI and machine learning (ML), but don't know how to get started? One of the best ways to get into ML is by designing and completing small projects. Although you will ultimately need to understand the fundamentals of AI/ML, there's no reason why you can't learn foundational terms, concepts and principles as you put them into practice. Join Kaushal Dalvi as he introduces you to the world of applied machine learning. Kaushal will guide you through a series of ML projects end-to-end, enabling you to gain experience with creating and loading training data, summarizing and visualizing the datasets, evaluating various ML algorithms, and using the trained models to make predictions.
Since he got his first computer at age thirteen, Kaushal Dalvi has been interested in systems and software performance. He spent days researching performance characteristics of different motherboards, CPUs, GPUs, RAM, and disks to configure and overclock them in order to squeeze the maximum frames per second out of the games he played. Kaushal built and maintained websites for local businesses, where he started learning about performance and reliability. He developed a taste for it, and now ten years later he continues working in the same field as the director of quality and performance engineering at Ultimate Software, leading teams that deal with workload modeling, test scripting and execution, bottleneck analysis, debugging, and much more.