Machine Learning for Text

Visual Knowledge Discovery and Machine Learning

Machine Learning for Model Order Reduction

Kinesthetic Perception A Machine Learning Approach

Machine learning techniques for improved business analytics

Automatic Tuning of Compilers Using Machine Learning

Explainable and Interpretable Models in Computer Vision and Machine Learning

Machine Learning and Intelligent Communications Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

Machine Learning for Medical Image Reconstruction First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Machine Learning for Dynamic Software Analysis: Potentials and Limits International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers

Understanding and Interpreting Machine Learning in Medical Image Computing Applications First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings

Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Advances in Neural Computation, Machine Learning, and Cognitive Research Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia

Machine Learning and Knowledge Extraction Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018, Proceedings

Machine Learning in Medical Imaging 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Artificial Neural Networks and Machine Learning – ICANN 2018 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I

Braverman Readings in Machine Learning. Key Ideas from Inception to Current State International Conference Commemorating the 40th Anniversary of Emmanuil Braverman's Decease, Boston, MA, USA, April 28-30, 2017, Invited Talks

Machine Learning and Intelligent Communications Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Machine Learning A Practical Approach on the Statistical Learning Theory

Artificial Neural Networks and Machine Learning – ICANN 2018 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II

Advances in Soft Computing and Machine Learning in Image Processing

Human and Machine Learning Visible, Explainable, Trustworthy and Transparent

Machine Learning, Optimization, and Big Data Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers

Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

Hands-on ensemble learning with R : a beginner's guide to combining the power of machine learning algorithms using ensemble techniques

Cyber Security Cryptography and Machine Learning Second International Symposium, CSCML 2018, Beer Sheva, Israel, June 21–22, 2018, Proceedings

Image Quality Assessment of Computer-generated Images Based on Machine Learning and Soft Computing

Evolutionary Approach to Machine Learning and Deep Neural Networks Neuro-Evolution and Gene Regulatory Networks

Machine Learning for Ecology and Sustainable Natural Resource Management

Machine Learning and Data Mining in Pattern Recognition 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part II

Machine Learning and Intelligent Communications Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Granular Computing Based Machine Learning A Big Data Processing Approach

Artificial Neural Networks and Machine Learning – ICANN 2018 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III

Advances in Machine Learning and Data Science Recent Achievements and Research Directives

Machine Learning for the Quantified Self On the Art of Learning from Sensory Data

Machine Learning and Data Mining in Pattern Recognition 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I

The NIPS '17 Competition: Building Intelligent Systems

Application of Wavelets in Speech Processing

Advance Compression and Watermarking Technique for Speech Signals

Human Language Technologies for Under-Resourced African Languages Design, Challenges, and Prospects

Direction of Arrival Estimation and Localization of Multi-Speech Sources

Introduction to Deep Learning From Logical Calculus to Artificial Intelligence

Makine öğrenmesi : makine öğrenmesi teorisi ve algoritması

Veri madenciliği ve makine öğrenmesi : temel algoritmaları ve R dili ile uygulamaları

Derin öğrenme

Deep learning with Python