Deep Learning for humans
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Updated
Jul 28, 2023 - Python
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
Deep Learning for humans
scikit-learn: machine learning in Python
Apache Superset is a Data Visualization and Data Exploration Platform
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Streamlit — A faster way to build and share data apps.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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, AWS, and various command lines.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
10 Weeks, 20 Lessons, Data Science for All!
Create UIs for your machine learning model in Python in 3 minutes
Data Apps & Dashboards for Python. No JavaScript Required.
The fastai book, published as Jupyter Notebooks