AutoML: Build Production-Ready Models Quickly!

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Akintunde Oluwatobiloba Oladipo

1:44:35

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01 - Introduction

01 - Apply machine learning to problems.mp4

00:53

02 - What you should know before you start.mp4

00:58

02 - 1. Building Machine Learning Models

01 - Collecting, understanding, and preparing data.mp4

05:18

02 - Choosing the right model for your data.mp4

05:15

03 - Optimizing parameters and evaluating trained models.mp4

05:37

04 - Making predictions about new data.mp4

03:03

05 - AutoML tools Why use them.mp4

02:07

03 - 2. AutoML for Tabular Data

01 - Introducing AutoGluon.mp4

03:24

02 - Training your first AutoGluon model.mp4

05:54

03 - Improving your AutoGluon model.mp4

06:37

04 - Challenge Flight delay prediction.mp4

01:18

05 - Solution Flight delay prediction.mp4

04:21

04 - 3. AutoML for Image Data

01 - Computer vision How do you handle image data.mp4

04:26

02 - Introducing Azure Custom Vision.mp4

04:13

03 - Uploading and labeling images.mp4

04:29

04 - Training and validating your model.mp4

05:27

05 - Using your model.mp4

04:58

06 - Working with code Tradeoffs.mp4

03:13

07 - Challenge Multi-class classification.mp4

00:56

08 - Solution Multi-class classification.mp4

05:02

09 - Cleaning up your resources.mp4

02:52

05 - 4. AutoML for Text Data

01 - NLP How do you handle text data.mp4

01:51

02 - Introducing HugginFace AutoTrain.mp4

04:31

03 - Formatting and uploading your data for your task.mp4

03:16

04 - Training your AutoNLP model and making predictions.mp4

07:03

05 - Challenge Multi-class text classification.mp4

01:05

06 - Solution Multi-class text classification.mp4

04:45

06 - Conclusion

01 - Other AutoML tools Retraining AutoML models automatically.mp4

01:43

Description

All across the world, businesses are turning to machine learning to solve highly complex problems. As a result, knowing how to build ML models has become a sought-after technical skill. In this course, instructor Akintunde Oluwatobiloba Oladipo shows you how to build production-ready machine learning models quickly and easily, without making errors, using automation to optimize your workflows.

Learn the essentials of how and why machine learning has become such an indispensable tool for leaders and teams. Find out more about how to use AutoML tools to meet business-critical objectives and boost your productivity. Akintunde pulls examples for working with tabular, image, and text data sets. Test out your new skills along the way with hands-on practice challenges at the end of each section. By the end of this course, you’ll be prepared to set bigger and bolder business objectives, using AutoML modeling tools as your analytic guide.

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Machine Learning

Akintunde Oluwatobiloba Oladipo

Instructor's Courses

Akintunde Oluwatobiloba Oladipo is a machine learning engineer and researcher. Akintunde currently works as an engineer for Sterling Bank Plc, a full-service commercial bank in Lagos, Nigeria, and as a researcher at the University of Waterloo in Waterloo, Ontario, Canada. He volunteers with AI Saturdays Lagos as a researcher and lead instructor, mentoring students through a number of Udacity nanodegree certificate programs. An expert in Python, Scala, JavaScript, Microsoft Azure, and AWS, Akintunde previously worked as a machine learning engineer for Wragby Business Solutions and Technologies Limited.

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.