Human-in-the-Loop Machine Learning is a guide to optimizing the human and machine parts of your machine learning systems, to ensure that your data and models are correct, relevant, and cost-effective. 20-year machine learning veteran Robert (Munro) Monarch lays out strategies to get machines and humans working together efficiently, including building reliable user interfaces for data annotation, Active Learning strategies to sample for human feedback, and Transfer Learning. By the time you’re done, you’ll be able to design machine learning systems that automatically select the right data for humans to review and ensure that those annotations are accurate and useful. Learn more about the book here: http://mng.bz/OE2o

1. Combining Human
and Machine
Intelligence
With Human-in-the-Loop Machine
Learning. Take 42% off by entering
slmunro into the discount code box at
checkout at manning.com.

2. The full cycle of Machine Learning
Human-in-the-Loop Machine
Learning is a practical guide to
optimizing the entire machine
learning process, including
techniques to sample data with
Active Learning, annotation
design to create clean training
data and Transfer Learning to
adapt existing models to new
tasks.

3. Learn new techniques
Human-in-the-Loop Machine Learning goes deep into topics like
Uncertainty Sampling, Diversity Sampling and Transfer Learning.

4. Leverage your time and effort
Most machine learning projects do not
have the time or budget for human input
on every data point, and so need strategies
for deciding which data points are the
most important for human review.
Ongoing human involvement with the right
interfaces expedites the iterative process
of identifying labeling the right data.

5. A complete guide
Human-in-the-Loop Machine Learning is a
guide to optimizing the human and machine
parts of your machine learning systems, to
ensure that your data and models are
correct, relevant, and cost-effective.
By the time you’re done, you’ll be able to
design machine learning systems that
automatically select the right data for
humans to review and ensure that those
annotations are accurate and useful, for any
machine learning architecture.

6. Learn from an expert
Robert (Munro) Monarch has built Annotation, Active Learning, and machine
learning systems with machine learning-focused startups and with larger
companies including Amazon, Google, IBM, and most major phone manufacturers.
He holds a PhD from Stanford focused on Human-in-the-Loop machine learning for
healthcare and disaster response, and is a disaster response professional in
addition to being a machine learning professional.

7. If you want to learn more
about the book, check it
out on liveBook here.
Take 42% off Human-in-the-Loop
Machine Learning by entering slmunro
into the discount code box at checkout
at manning.com.