Skillshare - Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement

Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement
https://CourseLala.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.33 GB | Duration: 8h 37m

Solving regression problems (linear regression and logistic regression)

Solving classification problems (naive Bayes classifier, Support Vector Machines – SVMs)
Using neural networks (feedforward neural networks, deep neural networks, convolutional neural networks and recurrent neural networks
The most up to date machine learning techniques used by firms such as Google or Facebook
Face detection with OpenCV
TensorFlow and Keras
Deep learning – deep neural networks, convolutional neural networks (CNNS), recurrent neural networks (RNNs)
Reinforcement learning – Q learning and deep Q learning approaches
Requirements

Basic Python – we will use Panda and Numpy as well (we will cover the basics during implementations)
Description