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

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

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

Jean H. Essential Math for Data Science: Take Control of Your
Jean H. Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics.
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Essential Math for Data Science. Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics · Hadrien Jean. (You?) 
Essential Math for Data Science
Build your data science and machine learning skills by learning the math behind. It is crucial for your learning path to target the math concepts that you'll use in If you try to read math text books about topics like linear algebra, you might find it From probability distributions to bayesian statistics and information theory.
Essential Math for Data Science: Take Control of Your Data
Essential Math for Data Science: Take Control of Your Data With Fundamental Calculus, Linear Algebra, Probability, and Statistics. Front Cover. Hadrien Jean.
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You'll learn all this and much more in our interactive data science courses: visualization; Data mining, web scraping, and APIs; Probability and statistics In this career path, our courses will help you learn Python fundamentals, dig into data analysis Learn the linear algebra necessary for intermediate machine learning 
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I The topics for integral calculus (MA 1022) are covered in this course: the concept of the The course is intended not only for beginning mathematics, statistics or techniques, and to applications of linear algebra, particularly to Data Science. Topics to be covered are: basic probability theory including Bayes theorem; 
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ESSENTIAL MATH FOR DATA SCIENCE: take control of your data with fundamental calculus, linear algebra, probability, and statistics Jean, Hadrien. — 218 p.

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