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Probability: 2 Manuscripts Audiobook by Steven Taylor
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Title: Probability: 2 Manuscripts
Subtitle: Probability with Permutations and Markov Models
Author: Steven Taylor
Narrator: William Bahl
Format: Unabridged
Length: 4 hrs and 7 mins
Language: English
Release date: 09-27-17
Publisher: Steven Taylor
Ratings: 5 of 5 out of 16 votes
Genres: Science & Technology, Technology
Publisher's Summary:
Understanding probability as unique and stimulating theory which goes beyond conventional mathematics, will give you better perspective of the world around you. The first part of the book explains the fundamentals of probability in clear and easy to understand way even if you are not familiar with mathematics at all and you are just starting your journey towards this particular field of science. In the following sections of the book, the subject is explained in wider context along with importance of permutations and combinations in probability and their applications to a variety of scientific problems as well as the importance of probability in real life situations.
Members Reviews:
Nice narration! I like it! I bought this audiobook
It is an awesome book for Computer Science Students..I delighted in the measure of data in Python gave by this short book. I'm new understudy in CSE and i get a kick out of the chance to coding so i purchase this book since i need to learn Python language.. All things considered the book give me a decent pondered Python.So I suggest it for all CSE students....
Probability: 2 Manuscripts
Great writing. The author Steven Taylor shows us here what is Markov Models, how it works, how it helps in algorithm, Hidden Markov Models etc. This book helps me a lot to understand Markov Models.
Helpful Guide Book..
This is my first time to encounter Markov models and this book satisfy my curiosity. This book provides general information and how to use it in real life. This is an informative guide for the reader indeed. The Markov models give amazing flexibility in arranging of events. Highly recommended!
Just what I needed!!!
Sure, I had only basic knowledge of Markov Models, but it was great to see the Python code !!! I really really felt like this is a great start to HMM beyond what I could have found searching myself, because people always assume you understand some concepts before rushing through small details. While this book does rush, it is a very well calculated rush, since the author gives just enough keywords for me to look into without feeling lost. Thank you again for the wonderful listen and the wonderful code. It is delightful to see probability models in Python code
5 out of 5.....excellent.....
This is a wide topic to discuss, I bought a book that would summarize the whole discussion and this book has given me a lot of information. Only few people are studying about data science because this is composed of complex and tons of deep discussion if you are not good at analyzing then you cannot be here. Algorithms are easy if you just memorized the formulas that provided like the probability axioms. Analyzing each formula will make it easier for you to understand the problem...
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Title: Probability: 2 Manuscripts
Subtitle: Probability with Permutations and Markov Models
Author: Steven Taylor
Narrator: William Bahl
Format: Unabridged
Length: 4 hrs and 7 mins
Language: English
Release date: 09-27-17
Publisher: Steven Taylor
Ratings: 5 of 5 out of 16 votes
Genres: Science & Technology, Technology
Publisher's Summary:
Understanding probability as unique and stimulating theory which goes beyond conventional mathematics, will give you better perspective of the world around you. The first part of the book explains the fundamentals of probability in clear and easy to understand way even if you are not familiar with mathematics at all and you are just starting your journey towards this particular field of science. In the following sections of the book, the subject is explained in wider context along with importance of permutations and combinations in probability and their applications to a variety of scientific problems as well as the importance of probability in real life situations.
Members Reviews:
Nice narration! I like it! I bought this audiobook
It is an awesome book for Computer Science Students..I delighted in the measure of data in Python gave by this short book. I'm new understudy in CSE and i get a kick out of the chance to coding so i purchase this book since i need to learn Python language.. All things considered the book give me a decent pondered Python.So I suggest it for all CSE students....
Probability: 2 Manuscripts
Great writing. The author Steven Taylor shows us here what is Markov Models, how it works, how it helps in algorithm, Hidden Markov Models etc. This book helps me a lot to understand Markov Models.
Helpful Guide Book..
This is my first time to encounter Markov models and this book satisfy my curiosity. This book provides general information and how to use it in real life. This is an informative guide for the reader indeed. The Markov models give amazing flexibility in arranging of events. Highly recommended!
Just what I needed!!!
Sure, I had only basic knowledge of Markov Models, but it was great to see the Python code !!! I really really felt like this is a great start to HMM beyond what I could have found searching myself, because people always assume you understand some concepts before rushing through small details. While this book does rush, it is a very well calculated rush, since the author gives just enough keywords for me to look into without feeling lost. Thank you again for the wonderful listen and the wonderful code. It is delightful to see probability models in Python code
5 out of 5.....excellent.....
This is a wide topic to discuss, I bought a book that would summarize the whole discussion and this book has given me a lot of information. Only few people are studying about data science because this is composed of complex and tons of deep discussion if you are not good at analyzing then you cannot be here. Algorithms are easy if you just memorized the formulas that provided like the probability axioms. Analyzing each formula will make it easier for you to understand the problem...