Products

"Introduction to Data Science: A Python Approach to Concepts, Techniques, and Applications" delves into the foundational principles and practical applications of data science through the lens of Python programming. Authored...

"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 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...