An Introduction to Entity Resolution in Python

Machine Learning System Design

Machine Learning System Design

Gain insights into ML system design, state-of-the-art techniques, and best practices for scalable production. Learn from top researchers and stand out in your next ML interview.

Applied Machine Learning: Deep Learning for Industry

Applied Machine Learning: Deep Learning for Industry

Gain insights into industry-level machine learning by applying advanced TensorFlow and Python techniques. Explore efficient methods for creating scalable models, from data pipelines to deployment and inference.

Image Recognition with Machine Learning

Image Recognition with Machine Learning

Gain insights into image data processing and CNNs for image classification using TensorFlow. Delve into CNN architectures and their applications, requiring Python and TensorFlow knowledge.

Python 3: From Beginner to Advanced

Python 3: From Beginner to Advanced

Gain insights into Python by exploring basic to advanced concepts, including loops, classes, and GUIs with Tkinter. Delve into testing and become a productive Python programmer.

Fundamentals of Machine Learning: A Pythonic Introduction

Fundamentals of Machine Learning: A Pythonic Introduction

Learn machine learning with scikit-learn, covering supervised learning, clustering, regression, SVMs, autoencoders, and ensemble methods through practical Python projects.

Natural Language Processing with Machine Learning

Natural Language Processing with Machine Learning

Gain insights into processing text data, creating word embeddings, and using LSTMs for semantic analysis and machine translation. Explore industry-relevant NLP techniques with Python and TensorFlow.