BOOKS - Statistical Learning with Math and Python: 100 Exercises for Building Logic
Statistical Learning with Math and Python: 100 Exercises for Building Logic - Joe Suzuki August 4, 2021 PDF BOOKS
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Statistical Learning with Math and Python: 100 Exercises for Building Logic
Author: Joe Suzuki
Year: August 4, 2021
Format: PDF
File size: PDF 32 MB
Language: English



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Book Description: Statistical Learning with Math and Python: 100 Exercises for Building Logic Author: Joe Suzuki August 4, 2021 9789811578762 Summary: In today's technology-driven world, understanding the process of technological evolution is crucial for survival and unity. With the rapid pace of innovation, it's essential to develop a personal paradigm for perceiving the technological process of developing modern knowledge. Statistical Learning with Math and Python: 100 Exercises for Building Logic is a comprehensive guide that provides 100 exercises to help you master mathematical logic and build Python programs. This book is an indispensable resource for anyone looking to gain a deeper understanding of machine learning and data science. Chapter 1: Introduction to Linear Algebra The first chapter provides a concise introduction to linear algebra, laying the foundation for the subsequent chapters. You'll learn about vectors, matrices, and tensor operations, setting the stage for the critical concepts in statistical learning. This chapter is designed to be accessible to novices, ensuring that everyone can start their learning journey with confidence.
Statistical arning with Math and Python: 100 Exercises for Building Logic Автор: Джо Судзуки (Joe Suzuki) 4 августа 2021 9789811578762 Резюме: В современном мире, основанном на технологиях, понимание процесса технологической эволюции имеет решающее значение для выживания и единства. С быстрым темпом инноваций важно разработать личную парадигму восприятия технологического процесса развития современных знаний. Statistical arning with Math and Python: 100 Exercises for Building Logic - это всеобъемлющее руководство, которое содержит 100 упражнений, помогающих освоить математическую логику и построить программы на Python. Эта книга является незаменимым ресурсом для всех, кто хочет получить более глубокое понимание машинного обучения и науки о данных. Глава 1: Введение в линейную алгебру Первая глава содержит краткое введение в линейную алгебру, закладывая основу для последующих глав. Вы узнаете о векторах, матрицах и тензорных операциях, подготовив почву для критических концепций статистического обучения. Эта глава разработана, чтобы быть доступной для новичков, гарантируя, что каждый сможет начать свой учебный путь с уверенностью.
Statistical arning with Math and Python: 100 Exercises for Building Logic Autor: Joe Suzuki 4 de agosto 2021 9789811578762 Resumen: En el mundo actual basado en la tecnología, comprender el proceso de evolución tecnológica es crucial para la supervivencia y la unidad. Con el rápido ritmo de la innovación, es importante desarrollar un paradigma personal de percepción del proceso tecnológico de desarrollo del conocimiento moderno. Statistical arning with Math and Python: 100 Exercises for Building Logic es una guía completa que contiene 100 ejercicios que ayudan a dominar la lógica matemática y construir programas en Python. Este libro es un recurso indispensable para cualquier persona que desee obtener una comprensión más profunda del aprendizaje automático y la ciencia de los datos. Capítulo 1: Introducción al álgebra lineal primer capítulo contiene una breve introducción al álgebra lineal, sentando las bases para los capítulos siguientes. Aprenderá sobre vectores, matrices y operaciones tensoriales, preparando el terreno para conceptos críticos de aprendizaje estadístico. Este capítulo está diseñado para ser accesible para los principiantes, asegurando que todos puedan comenzar su camino de aprendizaje con confianza.
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数学とPythonによる統計学習：Joe Suzukiによるロジック構築のための100演習8月4 2021、 9789811578762要約：今日の技術ベースの世界では、技術進化のプロセスを理解することは生存と団結にとって重要です。急速なイノベーションのペースで、現代の知識を開発する技術プロセスの認識のための個人的なパラダイムを開発することが重要です。MathとPythonによる統計的学習：100 Exercises for Building Logicは、数学的論理をマスターしてPythonプログラムを構築するのに役立つ100の演習を含む包括的なガイドです。この本は、機械学習とデータサイエンスの理解を深めたい人にとって不可欠な資料です。第1章：線形代数の入門第1章では、線形代数について簡単に紹介し、次の章の基礎を築いています。ベクトル、行列、テンソル操作について学び、統計学習における重要な概念の段階を設定します。この章は初心者にもアクセスできるように設計されており、誰もが自信を持って学習の旅を始めることができます。

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