computer_science:machine_learning

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computer_science:machine_learning [2020/08/06 12:42] carlossousacomputer_science:machine_learning [2023/12/01 12:07] (current) – external edit 127.0.0.1
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-====== Machine Learning ======+====== Machine Learning with Tensorflow ======
  
-This process will be done in a **Xubuntu 20.04 LTS **Virtual machine.+This process will be done in a **Xubuntu 20.04 LTS **Virtual machine or on Google Collab. 
 +===== Learning TensorFlow for Deep Learning =====
  
-First, we will [[:computer_science:linux:xubuntu:install_xubuntu|install Xubuntu]] and [[:computer_science:machine_learning:install_tensorflow_python|install Tensorflow for Python]] and it'[[:computer_science:machine_learning:install_tensorflow_python_requirements|requirements]].+To learn MachineLearning I used GoogleFoo - of course - but I also used [[:computer_science:machine_learning:coursera:introduction_tensorflow_artificial_intelligence_deep|Coursera]] and [[:computer_science:machine_learning:udacity:intro_to_tensorflow_for_deep_learning|Udacity]]. While I keep this Wiki mostly for my own notes / research / Knowledge base, if you are looking into getting started yourself I would recommend to check my notes or even better the courses themselfs. While I ended up using [[:computer_science:machine_learning:udacity:intro_to_tensorflow_for_deep_learning|Udacity]] a lot more, due to cost / quality - completly free, great quality -, I would still recommend you do a quick read on my notes on [[:computer_science:machine_learning:coursera:introduction_tensorflow_artificial_intelligence_deep|Coursera]] since they have a very good example on how to understand Machine Learning with a great pratical example.
  
-Reference: [[:computer_science:machine_learning:types_of_machine_learning|Types of Machine Learning]]+===== Project - Supervised Learning - Image Classification ===== 
 + 
 +First, we will [[:computer_science:linux:xubuntu:install_xubuntu|install Xubuntu]] and [[:computer_science:machine_learning:install_tensorflow_python|install Tensorflow for Python]] and it's [[:computer_science:computer_vision:opencv:object_identification_tensorflow_opencv_imageai_yolo_requirements|requirements]]. 
 + 
 +Our first project will be a simple project to get started with the basics which can also be used in real life situation. 
 + 
 +We will try to have a computer [[:computer_science:computer_vision:opencv:object_identification_tensorflow_opencv_imageai_yolo|detect an object in an image / video]], and this will use Tensorflow, YOLO, OpenCV and ImageAI to archieve that. 
 + 
 +This project falls under [[:computer_science:machine_learning:types_of_machine_learning|Machine Learning > Supervised Learning > Classification]] 
 + 
 +===== References / Resources: ===== 
 + 
 +[[:computer_science:machine_learning:types_of_machine_learning|Types of Machine Learning]] 
 + 
 +[[:computer_science:machine_learning:comprehensive_guide_to_convolutional_neural_networks_eli5_way|Comprehensive Guide to Convolutional Neural Networks (CNN) - The ELI5 Way]] 
 + 
 +[[:computer_science:machine_learning:preventing_overfitting|Preventing Overfitting]] 
 + 
 + 
 +===== External References: ===== 
 + 
 +===== Terms and Recaps: ===== 
 + 
 +[[:computer_science:machine_learning:machine_learning_terms|Machine Learning Terms]]
  
  
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