Добавить в избранное
Форум
Правила сайта "Мир Книг"
Группа в Вконтакте
Подписка на книги
Правообладателям
Найти книгу:
Навигация
Вход на сайт
Регистрация



Реклама



Название: Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees
Автор: Steven Cooper
Издательство: Amazon Digital Services LLC
ASIN: B07FM4Z3FH
Год: 2018
Страниц: 168
Язык: английский
Формат: epub, mobi, pdf (conv)
Размер: 10.17 MB

The main goal of this book is to help people take the best actionable steps possible towards a career in data science. The need for data scientists is growing exponentially as the internet, and online services continue to expand.

This book will help you:

- Know more about the fundamental principles of data science and what you need to become a skilled data scientist.
- Have an elementary grasp of data science concepts and tools that will make this work easier to do.
- Have achieved a technical background in data science and appreciate its power.

This book is for those who are interested in data science. There are a lot of skills that a data scientist needs, such as coding, intellectual mindset, eagerness to make new discoveries, and much more.

It’s important that you are interested in this because you are obsessed with this kind of work. Your driving force should not be money. If it is, then this book is not for you.

Table of Contents:



Скачать Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees












НЕ РАБОТАЕТ TURBOBIT.NET? ЕСТЬ РЕШЕНИЕ, ЖМИ СЮДА!





Автор: Ingvar16 2-11-2018, 14:22 | Напечатать |
 
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.





С этой публикацией часто скачивают:

Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.


 MirKnig.Su  ©2021     При использовании материалов библиотеки обязательна обратная активная ссылка    Политика конфиденциальности