Essential Math for Data Science: Take Control

Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics by Hadrien Jean

• Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics
• Hadrien Jean
• Page: 250
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781098115562
• Publisher: O'Reilly Media, Incorporated

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

Ebook gratis italiano download ipad Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics DJVU MOBI 9781098115562 in English by Hadrien Jean

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

Essential Math for Data Science: Take Control of Your Data
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Designed for the absolute beginner looking for an introduction to the basic with the fundamental Python programming and/or mathematic concepts necessary to Between the use of the Jupyter Notebooks and the recorded sessions, the of mathematical concepts in linear algebra, calculus, probability, and statistics.
Essential Math for Data Science: Take Control of Your Data
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MATH 1000 - Essentials of Mathematics Course will meet for three hours in the classroom and will have a required Course concludes with the fundamental theorem of calculus; the definition of MATH 2010 - Elements of Linear Algebra Prerequisite: Calculus I. Data analysis, probability, and statistical inference. The 
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You don't need to have a Ph.D in math to become a data scientist. First, every data scientist needs to know some statistics and probability theory. Even so, interviewers may still test your basic linear algebra and multivariable calculus.

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