One Humanities

Thought is a terrible thing to waste

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Google: Machine Learning Crash Course

Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.

#python

#pandas

#tensorflow

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Google: Recommendation Systems

Welcome to Recommendation Systems! We've designed this course to expand your knowledge of recommendation systems and explain different models used in recommendation, including matrix factorization and deep neural networks.

#python

#pandas

#tensorflow

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Stanford: Advanced Learning Algorithms

In the second course of the Machine Learning Specialization, you will build and train a neural network with TensorFlow to perform multi-class classification, apply best practices for machine learning development so that your models generalize to data and tasks in the real world, build and use decision trees and tree ensemble methods, including random forests and boosted trees

#machine learning

#tensorflow

#python

#ensemble methods

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Stanford: Supervised Machine Learning: Regression and Classification

In the first course of the Machine Learning Specialization, you will build machine learning models in python using NumPy and scikit-learn, and train supervised machine learning models for prediction and binary classification tasks

#machine learning

#supervised learning

#python

#numpy

#scikit-learn

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fast.ai: Practical Deep Learning for Coders

This free course is designed for people (and bunnies!) with some coding experience who want to learn how to apply deep learning and machine learning to practical problems.

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Hugging Face: Natural Language Course

Teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — 🤗 Transformers, 🤗 Datasets, 🤗 Tokenizers, and 🤗 Accelerate — as well as the Hugging Face Hub. It’s completely free and without ads.

#nlp

#python

#transformers

#hugging face

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kaggle: Manipulate Data with Pandas

Solve short hands-on challenges to perfect your data manipulation skills. In this micro-course, you'll learn all about pandas, the most popular Python library for data analysis. Along the way, you'll complete several hands-on exercises with real-world data. We recommend that you work on the exercises while reading the corresponding tutorials

#python

#pandas

#data science

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kaggle: Advanced SQL

Take your SQL skills to the next level. learn more types of JOIN, along with how to use UNIONs to pull information from multiple tables.

#sql

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kaggle: Intro to SQL

Learn SQL for working with databases, using Google BigQuery. Structured Query Language, or SQL, is the programming language used with databases, and it is an important skill for any data scientist. In this course, you'll build your SQL skills using BigQuery, a web service that lets you apply SQL to huge datasets.

#sql

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Microsoft: AI for Beginners

In this curriculum, you will learn: Different approaches to Artificial Intelligence, Neural Networks and Deep Learning, Neural Architectures for working with images and text. Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.

#python

#deep learning

#machine learning

#neural networks

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Microsoft: Data Science for Beginners

Learn the basic concepts behind data science and how it’s related to artificial intelligence, machine learning, and big data.

#data science

#probability

#statistics

#python

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Microsoft: ML for Beginners

In this course, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming 'AI for Beginners' curriculum. Pair these lessons with our 'Data Science for Beginners' curriculum, as well!

#python

#machine learning

#scikit-learn