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Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics. Hadrien Jean
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ISBN: 9781098115562 | 250 pages | 7 Mb
- 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, fb2, mobi
- ISBN: 9781098115562
- Publisher: O'Reilly Media, Incorporated
Ebooks for mobile phones download Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics 9781098115562 (English Edition) 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
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Essential Math for Data Science: take control of your data with fundamental calculus, linear algebra, probability, and statistics
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 Paperback – July 13 2021.
Essential Math for Data Science, Take Control of Your Data
Booktopia has Essential Math for Data Science, Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics by Hadrien
MATH Mathematics < Georgia Southern University
Covers the fundamental elements of differential and integral calculus of This course will emphasize the understanding and use of the major concepts of MATH 2160 Linear Algebra MATH 3032 Foundations of Data Analysis and Geometry A study of basic probability, statistics and geometry, including two and three
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書名：Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics，語言：英文
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This book title, Essential Math for Data Science (Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics), ISBN: 18 Dec
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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, Taschenbuch von Hadrien
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Learn the fundamental mathematical techniques and concepts used in machine Mathematics for Data Science: Essential Mathematics for Machine Learning and AI in data science and artificial intelligence: linear algebra, calculus and probability. Have complete control over your subscription; you can cancel any time.
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You don't have a STEM-related degree, but you're interested in data science. your fundamentals in the following topics: statistics & probability, mathematics There are three areas that you should learn: calculus, integrals, and linear algebra: Therefore, I recommend that you take the time to learn basic SQL and Python
Essential Math for Data Science: Take Control of Your Data
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comfortable with the mathematics and statistics that are at the core of data science. Probably the most fundamental data structure in Python is the list. Linear algebra is widely used by data scientists (frequently implicitly, and not (If you don't remember your calculus, take my word for it or look it up on the Internet.).
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