[eBook] Free: The Best Children’s Book Ever! & 13 Other Titles, Machine Learning for Absolute Beginners (EXP) @ Amazon AU & US

14 Free eBooks in the Sammy Bird Series for children 3 - 8 years by author V. Moua. This series is part of the bedtime stories for kids. Enjoy!

This is absolutely, positively NOT the best children’s book you’ll ever read. But if you’re looking for a laugh-out-loud picture book about a silly bird who desperately wants to be the star of this book, then look no further!

This is a picture book series about a quirky bird named Sammy and his amusing misadventures. Sammy is a little red bird with a BIG personality. The books in this series are light-hearted and engaging. They are interactive stories where Sammy engages in fun and silly conversations with the reader. There are over 200 books in the series and counting!

This is a read aloud kids book. The target age range audience is appropriate for pre k preschool and young children who are at the following stages of reading: I can read level 1, I can read level 2, I can read level 3 and I can read level 4. This is a book that any child will love, especially at bedtime. It is suitable for parents to read to their children. Also, grandparents will enjoy reading this book to their grandchildren. This series is part of the bedtime stories for kids.

• The Best Children’s Book Ever!
• Have You Seen the Ice Cream Truck?
• The Great Butterfly Hunt
• Wake Up, Mr. Bear!
• Don't Go to Sleep Yet!
• I Am Not a COW!
• Patience
• Sharing
• What Is on Sammy's Head?
• The Biggest Pumpkin
• Sammy's Fancy Thanksgiving Party
• Sammy's Thanksgiving Rescue
• Happy Valentine's Day!
• Sammy's Valentine's Day

Amazon US links. Credit to @Prud Frugal

EXPIRED #Machine Learning for Absolute Beginners: A Plain English Introduction (3rd Edition)

This popular book (3rd Ed) is free again.

EXPIRED Amazon US link.

In This Step-By-Step Guide You Will Learn

• How to download free datasets
• What tools and machine learning libraries you need
• Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
• Preparing data for analysis, including k-fold Validation • Regression analysis to create trend lines
• k-Means Clustering to find new relationships
• The basics of Neural Networks • Bias/Variance to improve your machine learning model
• Decision Trees to decode classification, and
• How to build your first Machine Learning Model to predict house values using Python

Frequently Asked Questions

Q: Do I need programming experience to complete this e-book? A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see some programming used in this book.
Q: I have already purchased the Second Edition of Machine Learning for Absolute Beginners, should I purchase this Third Edition? A: As the same topics from the Second Edition are covered in the Third Edition, you may be better served reading a more advanced title on machine learning. If you have purchased a previous edition of this book and wish to get access to the free video tutorials, please email the author.
Q: Does this book include everything I need to become a machine learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.

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