Machine Learning
An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More
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Narrated by:
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Timothy Burke
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By:
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Herbert Jones
About this listen
If you're at the beginner's stage and are looking to gain new knowledge about machine learning, then keep reading....
Do not listen to this audiobook if you're looking for a boring textbook containing a lot of dry math and programming lingo.
Every day, someone is giving up on learning about machine learning. Many people miss out on furthering their career, and perhaps even the progress of our species without even realizing
You see, most beginners make the same mistakes when first delving into the topic of machine learning. They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion.
But that is all about to change.
This new book on machine learning will explain the concepts, methods, and history behind machine learning, including how our computers became vastly more powerful but infinitely less intelligent than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then try to become virtual crystal balls, predicting our thoughts before we even have them.
Most of the book seems like science-fiction because, in a sense, it is, far beyond what an average person would be willing to believe is happening.
Here are some of the topics that are discussed in this book:
- What machine learning is
- What the point of machine learning is
- History of machine learning
- Neural networks
- Matching the human brain
- Artificial Intelligence
- AI in literature
- Talking, walking robots
- Self-driving cars
- Personal voice-activated assistants
- Data mining
- Social networks
- And much more!
Listen now to learn more!
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Dr. Catherine Kleier invites us to open our eyes to the phenomenal world of plant life and to the process she calls “Natura Revelata”, the joy of celebrating and learning from the secrets of nature. As Dr. Kleier shares her knowledge with contagious excitement for her subject, she emphasizes the middle ground: Instead of focusing on cell microbiology or the study of ecosystems and habitats, she stresses the basic biology, function, and the amazing adaptations of the plants we see all around us.
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Needs accompanying documentation and visual aides
- By Ryan on 04-04-19
By: Catherine Kleier, and others
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Cosmic Queries
- StarTalk’s Guide to Who We Are, How We Got Here, and Where We’re Going
- By: James Trefil, Lindsey N. Walker - editor, Neil deGrasse Tyson
- Narrated by: Neil deGrasse Tyson, Lauren Fortgang
- Length: 6 hrs and 18 mins
- Unabridged
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In this illuminating audiobook, Tyson and coauthor James Trefil, a renowned physicist and science popularizer, take on the big questions that humanity has been posing for millennia - How did life begin? What is our place in the universe? Are we alone? - and provide answers based on the most current data, observations, and theories.
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Not worth it
- By Daniel Earl on 03-15-21
By: James Trefil, and others
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The Theory of Everything: The Quest to Explain All Reality
- By: Don Lincoln, The Great Courses
- Narrated by: Don Lincoln
- Length: 12 hrs and 21 mins
- Original Recording
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At the end of his career, Albert Einstein was pursuing a dream far more ambitious than the theory of relativity. He was trying to find an equation that explained all physical reality - a theory of everything. Experimental physicist and award-winning educator Dr. Don Lincoln takes you on this exciting journey in The Theory of Everything: The Quest to Explain All Reality. Suitable for the intellectually curious at all levels and assuming no background beyond basic high-school math, these 24 half-hour lectures cover recent developments at the forefront of particle physics and cosmology.
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Audible’s Best Science Offering, A Gem
- By MikeB on 12-08-18
By: Don Lincoln, and others
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The Quantum Universe
- (And Why Anything That Can Happen, Does)
- By: Brian Cox, Jeff Forshaw
- Narrated by: Samuel West
- Length: 8 hrs and 28 mins
- Unabridged
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In The Quantum Universe, Brian Cox and Jeff Forshaw approach the world of quantum mechanics in the same way they did in Why Does E=mc2? and make fundamental scientific principles accessible - and fascinating - to everyone.The subatomic realm has a reputation for weirdness, spawning any number of profound misunderstandings, journeys into Eastern mysticism, and woolly pronouncements on the interconnectedness of all things. Cox and Forshaw's contention? There is no need for quantum mechanics to be viewed this way.
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Not suitable as an audio book
- By SPN on 03-29-22
By: Brian Cox, and others
What listeners say about Machine Learning
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Linda Cherylh
- 08-28-18
A great experienced author about ML.
Generally, I am very satisfied with this book. Beforehand I have been speechless with the math and this helped draw me back out a few steps to better understand the concepts.
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- Alexander B. Talbot
- 08-26-18
Best ML book for learners.
This is the best machine learning book I have ever read!!! The author breaks things done into simple easy to understand components. I now have a better understanding of what the Machine Learning engineers are discussing.
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- David Sherrer
- 08-25-18
Exactly the right level for me
This is the first Machine Learning book I’ve read that didn’t rocket right past me in the third chapter. The author knows their stuff, but doesn’t mind slowing down and explaining what it all means in a well thought out way.
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- Hanna Macleod
- 09-08-18
A best and easy way to learn.
I was in search for a good and easy book and one of the my friend told me about this one and he also send me a promo for this book as well. I got it very nice and easy book. There is much information about learning the Machine Learning.
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- Shirley Perine
- 08-28-18
Its good book, good informative stuff.
I found it just wasn't hands-on enough. The information was good, but the lack of worked examples or exercises left me feeling like I hadn't learned all that much. I'd say if you're someone who can read information and absorb it, this could be a great introduction to the subject. But if you're like me and need a sandbox, you might want to keep looking.
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- John M. Depasquale
- 08-28-18
The book is also quite practical.
This book is ideal for people first coming into Machine Learning looking for a clear high-level introduction. Having said that, the book is also quite practical too, and I had good fun going through the example exercises to build regression lines and scrub data-sets.
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- Marcos Lacerda
- 08-31-18
Nothing new, no insights
No insights if you follow the news about the subject. A bit more superficial than what I was expecting.
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- Debrah Sandra
- 08-26-18
Good for people that want to know ML.
Easy to understand, good for people that want to know machine learning. This provides an excellent overview of the major techniques. It's definitely worth reading.
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- Bradley Kimbrell
- 08-28-18
Excellent getting started book.
I enjoyed the listen-ability of this book. The emphasis is on how to use and understand Machine Learning rather than the math behind the algorithms. Was an enjoyable read.
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- Alberta Augustine
- 08-25-18
A good starting point.
It a good summary book, nevertheless, if the terms are used, they should be defined upfront. If various specific methods are mentioned, it would be good to provide a comparison and overview of those. I general it is good book, which I would recommend reading as a starting point for its structured approach.
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