Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 13 Minute(s)
Language
English
Taught by
Mohammad Azam
Rating
1 views
Course Overview
Covers: Image Classification, Object Detection, Sentiment Analysis, Tabular Data, Xcode Playgrounds Training
Are you an iOS developer looking to harness the power of machine learning in your app development projects? Look no further! This comprehensive course, "Create ML for iOS Developers - A Beginner's Guide" is designed to equip you with the knowledge and skills necessary to integrate cutting-edge machine learning models into your iOS applications using Create ML.
In this hands-on course, you will embark on a journey from beginner to proficient iOS machine learning developer. We will start by introducing you to the fundamentals of Create ML, Apple's framework for training machine learning models on-device. You will learn how to set up your development environment, understand the key concepts of machine learning, and get familiar with the Create ML workflow.
As we dive deeper, you will explore the exciting world of image detection. You'll discover how to train models that can identify objects and even classify images with remarkable accuracy. Through practical exercises and real-world examples, you'll learn how to preprocess images, train models using Create ML's intuitive interface, and seamlessly integrate them into your iOS applications.
Next, we'll turn our attention to sentiment analysis, a powerful technique for understanding and classifying text data. You'll learn how to train models that can determine sentiment polarity, analyze customer reviews, and perform text classification tasks. Armed with this knowledge, you'll be able to build engaging and intelligent iOS apps that can interpret and respond to textual data.
But that's not all! We'll also delve into the fascinating field of object detection, where you'll discover how to train models that can identify and locate multiple objects within images. You'll understand the underlying concepts, explore different architectures, and learn how to optimize your models for real-time performance on iOS devices.
Lastly, we'll explore the world of tabular data and learn how to leverage Create ML to build predictive models. You'll understand how to preprocess tabular data, handle missing values, and train models that can make accurate predictions and classifications based on structured data.
By the end of this course, you will have gained the skills and confidence to implement image detection, sentiment analysis, object detection, and tabular data analysis using Create ML in your iOS projects. Whether you're a beginner or an experienced iOS developer, this course will provide you with a solid foundation in machine learning and enable you to create powerful and intelligent applications that will delight your users.
Enroll now and unlock the potential of Create ML in your iOS development journey!
Course Content
- 8 section(s)
- 47 lecture(s)
- Section 1 Introduction
- Section 2 Image Detection - Integrating an Existing Model
- Section 3 Image Recognition Project - Cats vs Dogs
- Section 4 Sentiment Analysis Project - News
- Section 5 Object Detection - Integrating an Existing Model
- Section 6 Object Detection - Custom Models
- Section 7 Tabular Data Project: Predicting Car Prices Using Carvana Data
- Section 8 Conclusion
What You’ll Learn
- The fundamentals of Create ML and how to set up their development environment for iOS machine learning projects.
- Techniques for image detection, including training models to identify objects and classify images.
- The process of sentiment analysis and how to build models that can determine sentiment polarity and perform text classification tasks.
- The principles of object detection and how to train models to identify and locate multiple objects within images.
- How to work with tabular data and build predictive models using Create ML, enabling accurate predictions and classifications based on structured data.
Skills covered in this course
Reviews
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RRiddhishwar S
awesome
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ppooja raghuwanshi
great explanation, good job
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GGreg Ventress
Taken this instructor's courses before. Easy to understand and follow.
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DDavid Bourne
Not quite what I expected but still quite useful with a lot of good information. I was expecting more focus on using Create ML and how to create better models. However, I found the description of the process of creating the ML model and integrating the model into an application a 'bonus'. Probably for me, now, the best part of the course. Could be expanded to cover more of the model types.
