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"Introduction to Algorithms, 4th Edition" by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein offers an unparalleled insight into the fundamental principles and techniques underlying the...

📘 Introduction to Data Science✍ Authors: Laura Igual, Santi Seguí🏢 Publisher: Springer📅 Publication Year: 2017📖 Pages: 218📂 Category: Data Science, Machine Learning, Statistics "Introduction to Data Science" provides a practical...

"Introduction to Machine Learning 4th Edition" by Andreas C. Müller and Sarah Guido serves as a comprehensive guide for both beginners and seasoned practitioners delving into the realm of machine...

Unlock the power of modern statistical analysis with "Introduction to Modern Statistics" by Mine Çetinkaya-Rundel and Johanna Hardin, a comprehensive primer designed to equip students with essential statistical concepts and...

"Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++" authored by Titus A. Beu offers a comprehensive introduction to the world of numerical programming,...

Description: Machine Learning for OpenCV by Michael Beyeler equips readers with essential skills in leveraging Python and OpenCV for intelligent image processing through machine learning techniques. This comprehensive guide bridges...

Noor Computer Science Objective by Muhammad Numan & Yasir Ahmad Khan is a comprehensive guide tailored for students and professionals preparing for competitive exams in the field of computer science....

In "Numerical Methods With Python For The Sciences," author William Miles provides a comprehensive guide tailored for scientists and researchers seeking to harness the power of numerical methods using Python....

Optimization for Machine Learning Finding Function Optima with Python Optimization happens everywhere. Machine learning is one example of such and gradient descent is probably the most famous algorithm for performing...

Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data (1st Edition) by Susan E. McGregor is a hands-on guide designed to teach data wrangling and...

"Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition" by Jake VanderPlas is an indispensable resource for data scientists, analysts, and Python enthusiasts. This comprehensive handbook covers...

Python Data Science Handbook by Jake VanderPlas Python Data Science Handbook by Jake VanderPlas is a comprehensive guide to using Python for data science. It covers a range of essential...

"Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries by Lee Vaughan (Author)" offers a comprehensive guide for scientists, researchers, and enthusiasts seeking to harness...

"The Hundred-Page Machine Learning Book" by Andriy Burkov provides a concise yet comprehensive introduction to the fundamentals of machine learning. Burkov distills complex concepts into a hundred pages, making it...

Web Technologies: A Computer Science Perspective by Jeffrey C. Jackson is a comprehensive guide that provides a computer science-based approach to web technologies. The book emphasizes the underlying principles and...