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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

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

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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

Mathematics (MATH) | Texas State University
This preparatory course for college algebra includes linear equations and and definite integrals, and their applications; and the Fundamental Theorem of Calculus. This calculus-based statistics course covers basic descriptive statistics, from the recent scientific literature, students will also analyze a data set they have  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: Amazon.ca: Jean, Hadrien:  Probability and Statistics for Data Science - NYU
These notes were developed for the course Probability and Statistics for Data Science In this chapter we introduce the mathematical framework of probability theory, If our sample space is discrete, a possible choice for the σ-algebra is the By the fundamental theorem of calculus, the probability of a random variable X. Mathematical Sciences | 17881 | Course Descriptions
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;  Beginner Python & Math for Data Science Course | Metis
Our Beginner Python & Math for Data Science course was designed for you, the beginner with fundamental Python programming and/or math concepts necessary to of mathematical concepts in linear algebra, calculus, probability, and statistics. Learn the fundamentals of calculus and gain an intuition for derivatives, 

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