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Math 0-1 - Matrix Calculus in Data Science and Machine Learning

You're reading from Math 0-1 - Matrix Calculus in Data Science and Machine Learning Essential Guide to AI and Deep Learning for Python Coders

Product type Video

Published in Jan 2024

Publisher

ISBN-13 9781835886649

Length 6hrs 16mins

Edition 1st Edition

Languages

Python

Tools

Anaconda

Concepts

Data Science

Author (1):

Lazy Programmer

View More author details

Table of Contents (6) Chapters

1. Introduction

2. Matrix and Vector Derivatives FREE CHAPTER

3. Optimization Techniques

4. Setting Up Your Environment (Appendix/FAQ by Student Request)

5. Effective Learning Strategies (Appendix/FAQ by Student Request)

6. Appendix / FAQ Finale

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Authors (1)

Lazy Programmer

Lazy Programmer

The Lazy Programmer, a distinguished online educator, boasts dual master's degrees in computer engineering and statistics, with a decade-long specialization in machine learning, pattern recognition, and deep learning, where he authored pioneering courses. His professional journey includes enhancing online advertising and digital media, notably increasing click-through rates and revenue. As a versatile full-stack software engineer, he excels in Python, Ruby on Rails, C++, and more. His expansive knowledge covers areas like bioinformatics and algorithmic trading, showcasing his diverse skill set. Dedicated to simplifying complex topics, he stands as a pivotal figure in online education, adeptly navigating students through the nuances of data science and AI.

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