The author, Taeho Jo, is president and founder of Alpha Lab AI. He received Bachelor, Master, and PhD degree, from Korea University in 1994, from Pohang University in 1997, and from University of Ottawa, 2006. As his research achievements, since 1996, he has published more than 200 research papers, and his research interests are text mining, machine learning, neural networks, and information retrieval. He has awarded three times in the world-wide biography, “Marquis who’s who in the World”, in 2016, 2018, and 2019, and is granted the noble title, “Duke” from United Kingdom, in August 2018. He previously published two books, titled, “Text Mining: Concept, Implementation, and Big Data Challenge” and titled “Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning”.

• Introduction.- Part I. Foundation.- Supervised Learning.- Unsupervised Learning.- Ensemble Learning.- Part II. Deep Machine Learning.- Deep K Nearest Neighbor.- Deep Probabilistic Learning.- Deep Decision Tree.- Deep SVM.- Part III. Deep Neural Networks.- Multiple Layer Perceptron.- Recurrent Networks.- Restricted Boltzmann Machine.- Convolutionary Neural Networks.- Part IV. Textual Deep Learning.- Index Expansion.- Text Summarization.- Textual Deep Operations.- Convolutionary Text Classifier.- Conclusion.

The author, Taeho Jo, is president and founder of Alpha Lab AI. He received Bachelor, Master, and PhD degree, from Korea University in 1994, from Pohang University in 1997, and from University of Ottawa, 2006. As his research achievements, since 1996, he has published more than 200 research papers, and his research interests are text mining, machine learning, neural networks, and information retrieval. He has awarded three times in the world-wide biography, “Marquis who’s who in the World”, in 2016, 2018, and 2019, and is granted the noble title, “Duke” from United Kingdom, in August 2018. He previously published two books, titled, “Text Mining: Concept, Implementation, and Big Data Challenge” and titled “Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning”.

• Introduction.- Part I. Foundation.- Supervised Learning.- Unsupervised Learning.- Ensemble Learning.- Part II. Deep Machine Learning.- Deep K Nearest Neighbor.- Deep Probabilistic Learning.- Deep Decision Tree.- Deep SVM.- Part III. Deep Neural Networks.- Multiple Layer Perceptron.- Recurrent Networks.- Restricted Boltzmann Machine.- Convolutionary Neural Networks.- Part IV. Textual Deep Learning.- Index Expansion.- Text Summarization.- Textual Deep Operations.- Convolutionary Text Classifier.- Conclusion.

The author, Taeho Jo, is president and founder of Alpha Lab AI. He received Bachelor, Master, and PhD degree, from Korea University in 1994, from Pohang University in 1997, and from University of Ottawa, 2006. As his research achievements, since 1996, he has published more than 200 research papers, and his research interests are text mining, machine learning, neural networks, and information retrieval. He has awarded three times in the world-wide biography, “Marquis who’s who in the World”, in 2016, 2018, and 2019, and is granted the noble title, “Duke” from United Kingdom, in August 2018. He previously published two books, titled, “Text Mining: Concept, Implementation, and Big Data Challenge” and titled “Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning”.

• Introduction.- Part I. Foundation.- Supervised Learning.- Unsupervised Learning.- Ensemble Learning.- Part II. Deep Machine Learning.- Deep K Nearest Neighbor.- Deep Probabilistic Learning.- Deep Decision Tree.- Deep SVM.- Part III. Deep Neural Networks.- Multiple Layer Perceptron.- Recurrent Networks.- Restricted Boltzmann Machine.- Convolutionary Neural Networks.- Part IV. Textual Deep Learning.- Index Expansion.- Text Summarization.- Textual Deep Operations.- Convolutionary Text Classifier.- Conclusion.