Tracked shipping to New Zealand with premium packaging for just NZ$15 

Ship to
New Zealand
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada A Few Things I Know about Her: A Personally Machine Learning Inspired Approach to Understand Surrounding Nature
Type
Physical Book
Author
Publisher
Language
English
Pages
198
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.4 cm
Weight
0.48 kg.
ISBN13
9783030943783
Categories

A Few Things I Know about Her: A Personally Machine Learning Inspired Approach to Understand Surrounding Nature

Bruno Apolloni (Author) · Springer · Hardcover

A Few Things I Know about Her: A Personally Machine Learning Inspired Approach to Understand Surrounding Nature - Apolloni, Bruno

Cheaper New Book Imported to New Zealand
Delivery: 21 Aug - 03 Sep Shipping: 12 to 16 business days.
NZ$ 279.00
Faster New Book Imported to New Zealand
Delivery: 11 Aug - 18 Aug Shipping: 4 to 5 business days.
NZ$ 368.79
Import costs and 15% GST included in the price ✅
NZ$ 279.00

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "A Few Things I Know about Her: A Personally Machine Learning Inspired Approach to Understand Surrounding Nature"

This book reconsiders key issues, such as description and explanation, which affect data analytics. For starters: the soul does not exist. Once released from this cumbersome roommate, we are left with complex biological systems: namely, ourselves, who must configure their environment in terms of worlds that are compatible with what they sense. Far from supplying yet another cosmogony, the book provides the cultivated reader with computational tools for describing and understanding data arising from his surroundings, such as climate parameters or stock market trends, even the win/defeat story of his son football team. Besides the superposition of the very many universes considered by quantum mechanics, we aim to manage families of worlds that may have generated those data through the key feature of their compatibility. Starting from a sharp engineering of ourselves in term of pairs consisting of genome plus a neuron ensemble, we toss this feature in different cognitive frameworks within a span of exploitations ranging from probability distributions to the latest implementations of machine learning. From the perspective of human society as an ensemble of the above pairs, the book also provides scientific tools for analyzing the benefits and drawbacks of the modern paradigm of the world as a service.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews