overview

微分積分:Calculus

This is a good introduction to deep learning (Machine Learning Startup Series)Reading Notes

Overview of deep learning for digital transformation and artificial intelligence tasks, including machine learning, gradient descent, regularization, error back propagation, self-encoders, convolutional neural networks, recurrent neural networks, Boltzmann machines, and reinforcement learning.
python

Protected: Deep Learning for Computer Vision with Python and Keras(1) – Convolution and Pooling

Overview of convolution and pooling in pyhton/keras/CNN for image recognition using deep learning for digital transformation and artificial intelligence tasks.
python

Protected: Introduction to deep learning with Python and Keras (1) Overview of how to use Keras

Overview of Keras, a Python platform for implementing deep learning for digital transformation and artificial intelligence task utilization.
python

Introduction to Optimization Problems Combining Cone Optimization, Integer Optimization, and Network Models Problem Solving with Python Series

Overview of optimization techniques in machine learning using python for digital transformation (DX) and artificial intelligence (AI) tasks.
python

An introduction to statistical modeling through Python implementation

An overview of machine learning theory using probability for digital transformation and artificial intelligence tasks and its implementation using python
地理空間情報処理

Protected: Introduction to Geospatial Information Using QGIS

Overview of QGIS, an open source for processing and displaying map spatial information used in digital transformation and artificial intelligence tasks
機械学習:Machine Learning

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Overview of noise reduction techniques to improve speech recognition for digital transformation and artificial intelligence tasks (additive noise, multiplicative noise and active noise control, parallel model coupling, PMC, factorial HMM)
IOT技術:IOT Technology

Sensor Data & IOT Technologies

Overview of sensor information handling, which is a central element of IOT technologies used for digital transformation and artificial intelligence tasks.
機械学習:Machine Learning

Protected: Large-vocabulary continuous speech recognition

Overview of large-vocabulary continuous speech recognition, a technology for recognizing unconstrained general speech in speech recognition technology used for digital transformation and artificial intelligence tasks.
機械学習:Machine Learning

Protected: Application of Hidden Markov Models to Speech Recognition

Overview of hidden Markov models (HMMs) for speech recognition for use in digital transformation and artificial intelligence tasks (Baum-Welch algorithm, Viterbi algorithm, EM algorithm, CDHMM).
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