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Your Comprehensive Guide for Markov Models, Reinforced Learning, Model Evaluation, SVM, Naives Bayes Classifier
- Machine Learning: For Beginners, Book 3
- Narrated by: Jacob Ford
- Length: 1 hr and 48 mins
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Publisher's summary
"Artificial Intelligence, deep learning, machine learning - whatever you're doing if you don't understand it - learn it. Because otherwise you're going to be a dinosaur within 3 years." (Mark Cuban)
"Machine learning is about taking the data that anyone might have - whether it's a sports franchise or an industrial manufacturer - and using algorithms to actually reason over the data and to predict outcomes that a businessperson can use to make better decisions.” (Christopher Matthews)
Discover and learn all about the machine learning in this audiobook. You will appreciate and learn more about advanced machine learning algorithms that are not presented in earlier books.
Do you know that you are highly likely part of testing datasets for companies in their machine learning model training, application, and mobile apps? Don’t you want to learn more about the framework that institutions and companies are using for machine learning?
The reality is very real. Data collections are everywhere in everything that we do and these behaviors that we exhibit and share willingly with application owners will be used to improve our user experience and improve our daily life such as the usage of Siri, Alexa, Cortana, Google Assistant, and many other applications.
“I think it’s very important to have a feedback loop, where you’re constantly thinking about what you’ve done and how you could be doing it better. I think that’s the single best piece of advice: Constantly think about how you could be doing things better and questioning yourself.” (Elon Musk)
Aren’t our data collected the feedback loop for companies to improve their products and offerings?
In this book, you will learn more about advanced machine learning algorithms that are not presented in earlier books.
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This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.
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I Hope It's Not All True
- By John on 05-01-16
By: Richard Susskind, and others
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What to Do When Machines Do Everything
- How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
- By: Malcolm Frank, Paul Roehrig, Ben Pring
- Narrated by: Eric Jason Martin
- Length: 7 hrs and 28 mins
- Unabridged
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What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.
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Assumes that machine learning will grow very slow
- By Nathan Burnham on 05-06-17
By: Malcolm Frank, and others
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Superminds
- The Surprising Power of People and Computers Thinking Together
- By: Thomas W. Malone
- Narrated by: Mel Foster
- Length: 11 hrs and 11 mins
- Unabridged
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Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.
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"Why did a Kenyan immigrant win the 2008 election"
- By RealTruth on 07-11-18
By: Thomas W. Malone
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Digital Transformation
- Survive and Thrive in an Era of Mass Extinction
- By: Thomas M. Siebel
- Narrated by: Thomas M. Siebel
- Length: 9 hrs and 8 mins
- Unabridged
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The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.
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The bible for your Digital Transformation projects
- By GR7381 on 07-19-19
By: Thomas M. Siebel
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The Amazon Way on IoT
- 10 Principles for Every Leader from the World's Leading Internet of Things Strategies
- By: John Rossman
- Narrated by: Christopher Lane
- Length: 5 hrs and 13 mins
- Unabridged
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The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.
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Very insightful, but quite boring
- By Riaan on 02-21-17
By: John Rossman
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Driving Digital
- The Leader's Guide to Business Transformation Through Technology
- By: Isaac Sacolick
- Narrated by: Tom Parks
- Length: 10 hrs and 13 mins
- Unabridged
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The race is on to become a digital enterprise. Every organization has a plan for updating products, technologies, and business processes. But that's not enough anymore. With disruptive startups outperforming industry stalwarts, executives everywhere are pushing greater growth and innovation. Staying competitive demands a complete digital transformation.
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Best book I have read on Digital Transformation
- By Holistic Health on 10-20-17
By: Isaac Sacolick
What listeners say about Your Comprehensive Guide for Markov Models, Reinforced Learning, Model Evaluation, SVM, Naives Bayes Classifier
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- LB
- 03-03-18
5 star for this
Just had a good grasp of what ML and ML algorithms are. How they’re subdivided into three more categories and how useful are they. Moreover, an in-depth discussion on Markov Models and Naives Bayes classifier are included. I’m giving this a 5-star rating as it’s a mix of core concepts and problem-solving.
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- Andrea
- 02-23-18
ml knowledge
It a good overview book, however it would be good if difficult topics would be described without using domain specific terms, which assumes you already have ML knowlage. If the terms are used, they should be defined upfront. If variuos 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 recommmend reading as a starting point for its structured approach.
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- Joy Linhart
- 02-23-18
distinct explanation
Appreciate the author’s distinct explanation considering this subject is very technical. There’s a short intro to Markov Models and Naïve Bayes classifier technique which I’ve been meaning to learn more about.
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- K.R.T.
- 02-27-18
Helpful Information!
Good guide on machine learning. This series of books has really got me up and running on all the concepts needed. Pleased I went ahead and gave this one a listen. I find this stuff to be fascinating. Well worth checking out.
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- Mrs Lockett
- 02-28-18
informative guide
Another informative guide by Ken Richards. It’s more advance than the previous one I got and offered topics that are quite complicated but I got them right away as the author uses simple terms, explanations, and modern approaches.
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- BM
- 03-02-18
i'm favoring this ML guide
I’m bound to get the part 1 and 2 of this ML series. One of the parts I like on this book is the discussion on Marov Models. The author was very specific on its intro and on the examples given. Aside from this, I’m having fun learning about the different ML models like SVM. I’m not a pro at it yet, but I believe I’ll be soon with the help of this audiobook.
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- Erica M. Mickelsen
- 07-08-18
an in-depth knowledge
Tis an in-depth knowledge in machine learning. This has to be one of my favorite books and I’m thinking of grabbing the first two books and access them.
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- frenchi
- 02-27-18
cannot go wrong with this book.
Any additional comments?
The authors gently guide you through Machine Learning and Data Science. They start from the essentials, including how to install all the required software and make the first steps, touching all the important math, and finish showing how it can be applied to real life problems.
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- Bea
- 03-02-18
meaty info
The audiobook has some meaty info that I just can’t ignore. Yes, I’m curious about the framework that companies are using for machine learning, thus I’m reading this cover to cover.
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