Python: 2 Books in 1. Python For Beginners, Machine Learning for Beginners. The Ultimate Beginners Guide to Python Programming, Novikov Denny
Автор: Novikov, Timur Watkins, Jonathan Название: Timur novikov ISBN: 190486483X ISBN-13(EAN): 9781904864837 Издательство: INGRAM PUBLISHER SERVICES UK Рейтинг: Цена: 2112.00 р. Наличие на складе: Поставка под заказ.
Описание: This book demonstrates how to apply modern approaches to complex system control in practical applications involving knowledge-based systems. Moreover, specialised forms of knowledge-based systems (like e-learning, social network, and production systems) are introduced with a new formal approach to knowledge system modelling.
Do you want to stop worrying about writing your own codes to create a strong program?
Are you feeling overwhelmed about spending hours over a book and just getting confused again and again?
If you want to learn the easiest way to deal with Python programming language, then keep reading...
Every day, lots of programmers ask themselves how they can learn to understand coding and programming in a better way.
This guidebook is going to look at the Python coding language and to all the things that you are able to do with this along the way.
I will explain all the technical basics starting from procedural programming, using functions, to object-oriented programming including features such as single and multiple inheritances, operator overloading and much more.
In this book, you will learn:
- Indentation
- Procedural programming
- Variables, Strings, Numbers, Logical Operators
- Tuple, List, Set, Dictionary
- Conditional Instructions
- Functions in Python
- Object-Oriented Programming
- Objects, Classes
- And Much more...
This is a beginner's guide so I am going to cover all the basics you need to get started with Python programming.
If you are already experienced in Python coding this guidebook will help you to review all the basics in a best and specific technical way
Python is widely seen by industry experts as a great first programming language when learning to code. There are a variety of jobs that one can get focusing exclusively on Python development.
Do you want to be a part of the Python programmers community?
If so, get started today scroll to the top, and click "BUY NOW"
Are you thinking that as much as we want to look for logical frameworks for intelligence, there is no certainty or scientific proof that intelligence is as structured as we believe it to be?
As in the evolutionary process, where chaos and order wisely coexist, I see a research gap related to our brain and mind, typically related to focusing on models based solely on order.
But if we are researching Artificial Intelligence, why are we so attached to the order and models that are supposed to be those of our brain?
Or, what binds us so much to what we see only, without opening spaces to what we don't see, if only to consider them small pieces of chaos?
In this openness and vision, when it comes to intelligence, I propose a new concept: that of unstructured intelligence, which I will try to explain in this book.
In this book, you will learn:
Automatic Learning
Machine Learning Paradigms
Inductive Learning
Induction Of Decision Trees
The relevance of attributes
Algorithms
Cluster
And Much more...
I think one of the main reasons for AI's long winter was that we went deep into it, creating architectures focused on existing paradigms, with little investment in new technologies and standards, such as machine learning itself.
But are we aren't repeating the same mistake in this new wave of AI?
If so, I consider the main mistake too much focus on artificial neural network architectures, as if this was the solution to solving complex learning problems in the human pattern or even the main door to generic artificial intelligence with semantic analysis capabilities.
And a possible solution to avoid the same history of past failure, perhaps, is to tackle high complexity real-world learning problems collectively and collaboratively, such as creating AI systems that can teach them to learn for themselves, like us humans.
So the architecture that seems to be the most logical for such problems is precisely the hybrid, where we have the most varied types of learning. In fact, before we are born, we are already learning in a hybrid way, with labeled and unlabeled data, by its very nature, and all its mechanisms of evolution.
You may think that you don't remember any important labeled data when you were a baby or child, but your mind and brain did a swell job to solve the puzzles that required some labeling to move on, as unsupervised learning systems follow.
So we can think of a similar machine architecture where the basis for all inferences is supervised learning, but capable of labeling any data that is not done by humans or other machines. And even criticize existing labels.
We are actually talking about machine learning - unsupervised - to generate labels for machine learning.
And creativity, in my view, is one of the essential links to evolve in understanding and formalizing new machine learning models.
Do you really want to easily learn and understand Machine Learning?
If so, get started today: scroll to the top, and click "BUY NOW"
Автор: Denny Novikov, Novikov Название: Machine learning ISBN: 1802347909 ISBN-13(EAN): 9781802347906 Издательство: Неизвестно Рейтинг: Цена: 5227.00 р. Наличие на складе: Поставка под заказ.
Автор: Belogolovsky Vladimir Название: Felix Novikov: Architect of the Soviet Modernism ISBN: 3869222891 ISBN-13(EAN): 9783869222899 Издательство: Неизвестно Цена: 5511.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Martin Schlichenmaier Название: Krichever–Novikov Type Algebras: Theory and Applications ISBN: 3110265176 ISBN-13(EAN): 9783110265170 Издательство: Walter de Gruyter Цена: 22305.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The series is devoted to the publication of monographs and high-level textbooks in mathematics, mathematical methods and their applications. Apart from covering important areas of current interest, a major aim is to make topics of an interdisciplinary nature accessible to the non-specialist. The works in this series are addressed to advanced students and researchers in mathematics and theoretical physics. In addition, it can serve as a guide for lectures and seminars on a graduate level. The series de Gruyter Studies in Mathematics was founded ca. 35 years ago by the late Professor Heinz Bauer and Professor Peter Gabriel with the aim to establish a series of monographs and textbooks of high standard, written by scholars with an international reputation presenting current fields of research in pure and applied mathematics.While the editorial board of the Studies has changed with the years, the aspirations of the Studies are unchanged. In times of rapid growth of mathematical knowledge carefully written monographs and textbooks written by experts are needed more than ever, not least to pave the way for the next generation of mathematicians. In this sense the editorial board and the publisher of the Studies are devoted to continue the Studies as a service to the mathematical community. Please submit any book proposals to Niels Jacob. Titles in planning includeFlavia Smarazzo and Alberto Tesei, Measure Theory: Radon Measures, Young Measures, and Applications to Parabolic Problems (2019)Elena Cordero and Luigi Rodino, Time-Frequency Analysis of Operators (2019)Mark M. Meerschaert, Alla Sikorskii, and Mohsen Zayernouri, Stochastic and Computational Models for Fractional Calculus, second edition (2020)Mariusz Lemanczyk, Ergodic Theory: Spectral Theory, Joinings, and Their Applications (2020)Marco Abate, Holomorphic Dynamics on Hyperbolic Complex Manifolds (2021)Miroslava Antic, Joeri Van der Veken, and Luc Vrancken, Differential Geometry of Submanifolds: Submanifolds of Almost Complex Spaces and Almost Product Spaces (2021)Kai Liu, Ilpo Laine, and Lianzhong Yang, Complex Differential-Difference Equations (2021)Rajendra Vasant Gurjar, Kayo Masuda, and Masayoshi Miyanishi, Affine Space Fibrations (2022)
Автор: Arkadiy Novikov, Yevgeniya Sikhimbayeva Название: Keanu Reeves. Unfinished portrait ISBN: 1913356051 ISBN-13(EAN): 9781913356057 Издательство: Amazon Internet Рейтинг: Цена: 8250.00 р. Наличие на складе: Невозможна поставка.
Автор: Igor D. Novikov , Translated by Vitaly Kisin Название: Black Holes and the Universe ISBN: 0521558700 ISBN-13(EAN): 9780521558709 Издательство: Cambridge Academ Рейтинг: Цена: 4909.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Black holes are formed by the force of gravity, warping space and time, crushing stars and perhaps galaxies until they fall in on themselves. Igor Novikov`s fascinating account, illustrated with a series of inspired cartoon drawings, illuminates this most enigmatic feature of our Universe with exemplary clarity.
Описание: Dennis O Neil s and Neal Adams legendary run on the groundbreaking GREEN LANTERN/GREEN ARROW is presented as a Deluxe Edition hardcover for the first time.
Описание: This book develops and describes a general methodology that can be applied to any complex human activity (activity with a non-trivial, multi-level internal structure). The structural components of complex activities are considered, and their logical, cause-and-effect, and process structures are functionally described.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
