Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms
Machine Learning: For Beginners, Book 1
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Narrated by:
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Jacob Ford
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By:
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Ken Richards
About this listen
Discover and learn all about machine learning. This audiobook covers the basic and fundamental subjects on machine learning and its application.
Are you clueless about what machine learning is about?
Have you ever wonder how a machine (Deep Blue) can beat Garry Kasparov, a reigning world champion in chess? Do you know that a handful of Fortune 500 companies are using machine learning in new creative ways?
Machine learning has been around for more than a decade and yet its usage is still in its infancy and innovating in an interesting way. Companies are investing heavily in machine learning and are reaping generous rewards. Some of their products have become an essential part of our daily activities such as the navigation systems in our vehicles.
In this audiobook, you will learn about the basics of machine learning and its applications, which is the fundamental block of artificial intelligence.
- Learn about the three types of machine learning
- Learn about the machine learning algorithms such as KNN
- Discover the machine learning tools that you can use
- Learn about data acquisition and data management
- Learn about model training, validation, and application
- Learn how neural networks work and usage
- And much more
Even if you feel that you may know some of the subjects discussed here, be open and give this book a chance. You may find a new perspective, learn something new, and pick up some valuable tools. It's written in an informative way for easy listening.
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- By Maya H Saric on 03-10-23
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Welcome to the Universe
- An Astrophysical Tour
- By: Michael A. Strauss, J. Richard Gott, Neil deGrasse Tyson
- Narrated by: Michael Butler Murray
- Length: 17 hrs and 53 mins
- Unabridged
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Welcome to the Universe is a personal guided tour of the cosmos by three of today's leading astrophysicists. Inspired by the enormously popular introductory astronomy course that Neil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott taught together at Princeton, this book covers it all - from planets, stars, and galaxies to black holes, wormholes, and time travel.
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All About What We Know About the Universe - ALL
- By J.B. on 02-17-17
By: Michael A. Strauss, and others
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Reentry
- SpaceX, Elon Musk, and the Reusable Rockets That Launched a Second Space Age
- By: Eric Berger
- Narrated by: Rob Shapiro
- Length: 12 hrs and 59 mins
- Unabridged
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From launchpad explosions to a pernicious cricket infestation to the demanding management style of Musk himself, the rise of SpaceX was beset with challenges and far from inevitable. Find out how the startup beat the odds and flew high enough to outpace their rivals... and where they're going next.
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Appreciated the engineering details
- By Will on 10-19-24
By: Eric Berger
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Inspired
- How to Create Tech Products Customers Love, Second Edition
- By: Marty Cagan
- Narrated by: Marty Cagan
- Length: 7 hrs and 45 mins
- Unabridged
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How do today's most successful tech companies - Amazon, Google, Facebook, Netflix, Tesla - design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently from the vast majority of tech companies. In Inspired, technology product management thought leader Marty Cagan provides listeners with a master class in how to structure and staff a vibrant and successful product organization and how to discover and deliver technology products that your customers will love.
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Great book, terrible audio wanted to ask a refund
- By Srikanth Ramanujam on 11-15-18
By: Marty Cagan
What listeners say about Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall
- Mark Allen Chase
- 10-25-18
very informative for new folks
Nice description of the components of machine learning. Good overview for beginners. I'll continue to book 2.
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- hannah bile
- 02-06-18
Useful guide for the beginner's.
It is very informative and the author has explained it in a simplified way, making it very friendly for beginners. . This book causes me an impressive measure and appreciate what machine acknowledging is and how it's used as a piece of this present reality.
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- Valerie Stillman
- 02-04-18
Worth in every aspect.
Given that my industrial engineer instructor’s poor in discussing lessons properly, I find this audio book worth the listen. Now I’m getting up to speed on the topic of machine learning quickly than I’ve expected. I stumbled on effective data acquisition strategies for newbies and I’ve come to possess the intuition on how to use the algorithms correctly.
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- lia
- 02-06-18
A great book to read to learn machine learning
I liked this book very much and I found it very informative and useful. This definitely written in a context for beginners which is easy to understand. These and other pertinent information on Machine Learning are concisely presented in this book. The author does a great job of making a complex topic seem easy.
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- Kimmy
- 02-08-18
good briefing
Machine Learning for Beginners: Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms by Ken Richards is an educative tool that will brief you on the basics and the applications ML is used in. I pretty much appreciate how Ken Richards used simplified terms to explain everything. I still can’t believe how big ML’s work encompasses especially how it helps companies work compatibly with users.
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- Tiffany
- 02-12-18
Packed Full of Useful Information!
What did you love best about Your Starter Guide for Data Management, Model Training, Neural Networks, Machine Learning Algorithms?
I think this book is great for Adults to have as a handbook for either themselves, or those interested in the material. (like my nephew) You can sound educated, and be helpful lol Especially with the up and coming generation!
Was this a book you wanted to listen to all in one sitting?
Yes, I wanted to listen once all the way through, then be able to refer to it as needed.
Any additional comments?
As I said, lots of information packed into a short amount of time which is great for me.I tend to zone out listening to these types of books, but the Narrator did a good job, and held my attention!
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- CMC
- 02-03-18
With practical examples illustrated!
As a newbie, I was able to follow through with the discussion and that’s thanks to the help of the practical examples included. Designing systems now sound exciting to me. We are unaware of the applications machine learning is used, but we’re now using them and it’s awesome!
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- Eunice Yarbo
- 04-03-18
One of th ebest ML guides to check.
After listening to this, I just found out how ML is extremely useful to the online biz world. It’s one good overview of the ML, its applications, the algorithms, and so much more! Although I think it will be cooler if there were any comparisons provided.
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- Chrissy
- 02-06-18
Intended for newbies
In spite of the complexity of the subject, beginning learners won’t be so hard up following with this book as it’s really intended for newbies. Why? Step-by-step tutorials and instructions are presented. Not to mention the practical examples.
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- chen
- 02-08-18
This is an excellent book
Any additional comments?
I enjoyed the way the author makes Machine Learning accessible to a novice like me. For anyone who is interested in learning the terminology and scope of approaches that comprise machine learning, this book is current, concise, and informative.
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