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Master the math needed to excel in data science and machine learning. If you’re a data scientist who lacks a math or scientific background or a developer who wants to add data domains to your skillset, this is your book. Author Hadrien Jean provides you with a foundation in math for data science, machine learning, and deep learning. Through the course of this book, you’ll learn how to use mathematical notation to understand new developments in the field, communicate with your peers, and solve problems in mathematical form. You’ll also understand what’s under the hood of the algorithms you’re using. Learn how to: Use Python and Jupyter notebooks to plot data, represent equations, and visualize space transformations Read and write math notation to communicate ideas in data science and machine learning Perform descriptive statistics and preliminary observation on a dataset Manipulate vectors, matrices, and tensors to use machine learning and deep learning libraries such as TensorFlow or Keras Explore reasons behind a broken model and be prepared to tune and fix it Choose the right tool or algorithm for the right data problem

12 reviews for Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics

  1. Marcelo Rezende Módolo
    February 4, 2023
    Exemplos práticos
    A leitura é fácil e os exemplos podem ser testados com facilidade.
    Helpful? 0 0
    Issa Ayoub
    November 4, 2022
    An excellent book to start your journey as a data scientist.
    All of the material presented in this book are important/excellent. My only comment is with regard to the grammatical mistakes which confuses the read...More
    All of the material presented in this book are important/excellent. My only comment is with regard to the grammatical mistakes which confuses the reader sometime. All in all, I highly recommend the book.
    Helpful? 0 0
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