April 11, 2024
11:00 AM - 2:00 PM CST
Jumping into our machine learning workshop could be a real game-changer for you. Imagine diving into CreateML and discovering how to train models to classify text, images, and data. You’ll get hands-on with fun projects like telling the difference between dogs and cats, working with text, and analyzing data.
This isn’t just about learning new techniques—it’s about unlocking new potential for your career. With these skills, you’ll be able to handle more complex projects, create smarter applications, and stay ahead in a field that’s growing rapidly.
Mastering machine learning can open doors to exciting opportunities, whether you’re looking to advance in your current role or explore new paths in data science and AI. It’s a chance to invest in yourself and set yourself up for a future filled with possibilities.
Image Classification
You will start by learning how to integrate a pre-made model into your application. This model will allow you to detect thousands of common house hold items. After that you will train your own custom model to distinguish between cats and dogs. You will also learn how to integrate your model in your custom application.
Sentimental Analysis
Using the Create ML framework, you will explore the world of sentiment analysis in this section. Examine different approaches to data preparation by utilizing Create ML's built-in tools in addition to Swift Playgrounds. After completing this section, you will be able to train and integrate your own sentiment analysis model with ease. Set off on this adventure with confidence to discover the power of comprehending and interpreting sentiment!
Object Detection
You will learn how to perform object detection in Create ML. This will involve annotating the objects manually from an image using a third party tool.
Tabular Data
Explore the fascinating realm of predicting car prices using tabular data format in Create ML. Learn the essential skill of data cleaning using DataFrame, similar to Pandas in Python, to ensure your dataset is optimized for analysis. Delve into model training on a small subset of data, and seamlessly integrate your findings into an iOS application.
Additional Workshops
Mohammad Azam
Mohammad Azam is a seasoned developer with over a decade of experience, contributing to the success of Fortune 500 companies such as Valic, AIG, Dell, Baker Hughes, and Blinds.com as a lead mobile developer. He is also a top mobile instructor with over 80K students worldwide. Currently, Azam serves as an instructor at a coding bootcamp, where he trains developers who have subsequently secured positions at prestigious companies like Apple and JP Morgan Chase.