Machine Learning Made Fun
Fun Ways for Teenagers to Learn About Machine Learning: Dive into AI with Projects You'll Love!
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Narrateur(s):
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Andy Platter
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Auteur(s):
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Joseph Achakji
À propos de cet audio
Unlock the Secrets of Tomorrow with Machine Learning!
Curious about how your smartphone seems to read your mind or how video games adapt to your play style? Welcome to the world of Machine Learning, the force behind these marvels and more. "Machine Learning Made Fun: The Teen Edition" is here to demystify this cutting-edge tech for everyone—no PhD required!
What you can expect:
Easy Peasy Learning: We break down Machine Learning into fun, bite-sized pieces.
See It in Action: Discover how Machine Learning powers your favorite apps and games.
Be a Creator: Spark your imagination and start inventing your own tech wonders.
Skills for the Future: Equip yourself with knowledge that's becoming essential in our digital world.
Worried you're not techy enough to get it? This book sweeps those doubts away, proving that Machine Learning isn't just for geniuses; it's for anyone with curiosity and creativity.
Ready to dive into the tech that's shaping our future and start creating your own innovations?
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 Joseph Achakji (P)2024 Joseph AchakjiCe que les auditeurs disent de Machine Learning Made Fun
Moyenne des évaluations de clientsÉvaluations – Cliquez sur les onglets pour changer la source des évaluations.
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Au global
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Performance
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Histoire
- Grace Stevenson
- 2024-07-22
Insightful and comprehensive
This book is suitable for a wide range of audiences. Each chapter is organized perfectly with clear explanations. The author did an excellent job explaining complex topics comparing the concepts into everyday lives.
Chapter 3 is a perfect example of how music is the Science of Sound. This is beneficial to understand as it helps a listener discover similar music to your taste.
This book is highly recommended for anyone interested in machine learning, providing a great mix of theory and technology.
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