
15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algorithms
15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algori...
15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algori...
Reliability and Risk Analysis (What Every Engineer Should Know) Author:by Mohammad Modarres (Author), Katrina Groth (Aut...
Securing Industrial Control Systems and Safety Instrumented Systems: A practical guide for safeguarding mission and safe...
Asynchronous Programming with C++: Build blazing-fast software with multithreading and asynchronous programming for ulti...
Advanced Fractal Graph Theory and Applications Author:by P. Tharaniya (Author), G. Jayalalitha (Author), Pethuru Raj (Au...
Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python Aut...
Python Natural Language Processing Cookbook: Over 60 recipes for building powerful NLP solutions using Python and LLM li...
Efficient Algorithm Design: Unlock the power of algorithms to optimize computer programming Author:by Masoud Makrehchi (...
Cloud Observability with Azure Monitor: A practical guide to monitoring your Azure infrastructure and applications using...
Microsoft Excel Pivot Table Data Crunching Including Dynamic Arrays, Power Query, and Copilot (Business Skills) Author:b...