Machine Learning Engineering Open Book

A living collection of deep learning problems

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

A list of startups that have employee-friendly terms for exercising your options past 90 days.

A collection of ML notes

List of Computer Science courses with video lectures.

Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks

💯 Curated coding interview preparation materials for busy software engineers

hadoop,hbase,storm,spark,etc..

Apache Phoenix Connectors

A curated list of academic blockchain-related papers

Apache Phoenix

Apache ZooKeeper

Apache HBase

A complete computer science study plan to become a software engineer.

Short tutorial for TensorFlow, designed to be presented in-person

A list of popular github projects related to deep learning

Neural Net Starter Examples

System design interview for IT companies

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Ways of doing Data Science Engineering and Machine Learning in R and Python

Papers from the computer science community to read and discuss.

Token-based AngularJS Authentication

CS interview study sheet

📜 Generates table of contents for markdown files inside local git repository. Links are compatible with anchors generated by github or other sites.

A curated awesome list of lists of interview questions. Feel free to contribute! 🎓

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Deep Learning Tutorial notes and code. See the wiki for more info.

Introduction to Deep Learning