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ai_for_business_curriculum

This is the curriculum for the "AI for Business" Course By Siraj Raval on Youtube

algorithmic-toolbox

Contains source code for all assignments for Coursera course Algorithmic Toolbox in python

algorithmic-toolbox-1

This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

breakthrough

UC Berkeley's software and documentation for Breakthrough Listen data

coursera-python-data-structures

data-science-ipython-notebooks

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-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

deep-rl-bootcamp

Deep RL Bootcamp solutions

duke-mlss-2018

Duke Machine Learning Summer School 2018

fundamentals-of-reinforcement-learning

german_to_english

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

isl_python

An Introduction to Statistical Learning with Applications in PYTHON

lectures

Oxford Deep NLP 2017 course

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

math-of-machine-learning-course-by-siraj

Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml4seti

Machine Learning for SETI

models

Models and examples built with TensorFlow

monk_activation

python

All Algorithms implemented in Python

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

statistical-inference-for-everyone

Introductory Statistical Inference

tarun_sporty

tfjs

A WebGL accelerated, browser based JavaScript library for training and deploying ML models.