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. Hadrien Jean
Essential-Math-for-Data.pdf
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
Kindle download ebook to computer Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics ePub PDF (English Edition)
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
博客來-Essential Math for Data Science: Take Control of Your
書名：Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics，語言：英文
Beginner Python & Math for Data Science Course | Metis
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. The key topics to master to
Almost all the techniques of modern data science, including machine learning, have grasp over essential concepts of statistics and probability cannot be overstated. All neural network algorithms use linear algebra techniques to represent and Fundamental and mean value-theorems of integral calculus, evaluation of
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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?)
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Get top-rated Data Science education at a cost of $1.09 a day with Statistics with Python Specialization by University of Michigan Discrete Mathematics, Calculus, Linear Algebra and Probability are covered. Learners are introduced to the fundamental programming concepts including data structures,
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.de: Jean, Hadrien:
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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