Корзина

Сейчас компания не может быстро обрабатывать заказы и сообщения, поскольку по ее графику работы сегодня выходной. Ваша заявка будет обработана в ближайший рабочий день.

Книжный интернет-магазин "Liderbooks"
+380 (93) 966-47-74
+380 (97) 060-75-89

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, фото 1

727 ₴

  • В наличии
+380 (93) 966-47-74
  • +380 (97) 060-75-89
    Viber
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability
727 ₴
В наличии
+380 (93) 966-47-74
  • +380 (97) 060-75-89
    Viber
Законом не предусмотрен возврат и обмен данного товара надлежащего качества
Описание
Характеристики
Информация для заказа

Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insights to maximize your career.

Learn how to:

  • Use Python code and libraries like SymPy, NumPy, and scikit-learn to explore essential mathematical concepts like calculus, linear algebra, statistics, and machine learning
  • Understand techniques like linear regression, logistic regression, and neural networks in plain English, with minimal mathematical notation and jargon
  • Perform descriptive statistics and hypothesis testing on a dataset to interpret p-values and statistical significance
  • Manipulate vectors and matrices and perform matrix decomposition
  • Integrate and build upon incremental knowledge of calculus, probability, statistics, and linear algebra, and apply it to regression models including neural networks
  • Navigate practically through a data science career and avoid common pitfalls, assumptions, and biases while tuning your skill set to stand out in the job market
Основные
Вид переплетаМягкий
СостояниеНовое
ТематикаЯзыки и системы программирования
Язык изданияАнглийский
Тип поверхности бумагиМатовая
Тип полиграфической бумагиОфсетная
Количество страниц348
Год издания2022
ПроизводительAuthor
Автор Thomas Nield
Издательство O’REILLY
  • Цена: 727 ₴