Essential Math for Data Science

Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics

Essential Math for Data Science
Hadrien Jean
RRP:
NZ$ 122.99
Our Price:
NZ$ 104.54
Paperback
h233 x 178mm - 250pg
30 Jun 2021 US
International import eta 7-19 days
9781098115562
Out Of Stock
Publication abandoned or delayed indefinitely
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 transformationsRead and write math notation to communicate ideas in data science and machine learningPerform descriptive statistics and preliminary observation on a datasetManipulate vectors, matrices, and tensors to use machine learning and deep learning libraries such as TensorFlow or KerasExplore reasons behind a broken model and be prepared to tune and fix itChoose the right tool or algorithm for the right data problem
Hadrien Jean is a machine learning scientist at Ava Accessibility in the domain of speech transcription. He completed his Ph. D. in cognitive science at the Ecole Normale Superieure (Paris, France) on the topic of auditory perceptual learning with a behavioral and electrophysiological approach. He has published a series of blog articles aiming at building intuition on mathematics through code and visualization (https: //hadrienj. github. io/posts/).
Status: Publication Abandoned or Delayed Indefinitely
ISBN-13: 9781098115562
Published: 30 Jun 2021
Published In: United States
Imprint: O'Reilly Media Inc (USA)
Publisher: O'Reilly Media Inc (USA)
Format: Paperback
Height: 233mm
Width: 178mm
Pages: 250

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