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freeCodeCamp

Machine Learning

via freeCodeCamp

Overview

This course covers a wide range of topics in machine learning, including TensorFlow, Keras, OpenCV, deep learning, natural language processing, reinforcement learning, and data analysis. The learning outcomes include understanding neural networks, deep learning concepts, and implementing machine learning algorithms. The course teaches skills such as Python programming, TensorFlow.js, PyTorch, NLTK, Scikit-learn, and Brain.js. The teaching method includes tutorials, practical coding exercises, and live courses. The intended audience for this course is beginners interested in machine learning and deep learning concepts.

Syllabus

TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial.
Practical Deep Learning for Coders - Full Course from fast.ai and Jeremy Howard.
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial.
OpenCV Course - Full Tutorial with Python.
How Deep Neural Networks Work - Full Course for Beginners.
Deep Learning Crash Course for Beginners.
Applied Deep Learning with PyTorch - Full Course.
Learn TensorFlow.js - Deep Learning and Neural Networks with JavaScript.
Natural Language Processing (NLP) Tutorial with Python & NLTK.
Reinforcement Learning Course - Full Machine Learning Tutorial.
TensorFlow 2.0 Crash Course.
Neural Networks with JavaScript - Full Course using Brain.js.
Develop an AI to play Connect Four - Python Tutorial.
Natural Language Processing with TensorFlow 2 - Beginner's Course.
Theory of Neural Networks - Deep Learning Without Frameworks.
Deep Reinforcement Learning in Python Tutorial - A Course on How to Implement Deep Learning Papers.
Beat Asteroids Game Using a Neural Network - JavaScript Tutorial.
Data Analysis with Python: Part 1 of 6 (Live Course).
Scikit-learn Crash Course - Machine Learning Library for Python.
Scikit-Learn Course - Machine Learning in Python Tutorial.

Taught by

freeCodeCamp.org

Reviews

5.0 rating, based on 1 Class Central review

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  • Um curso bem completo, com todos os assuntos necessários para nosso entendimento, ótimo curso, recomendo

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