It is our pleasure to present the reader the proceedings of the first international conference on Latest Advances in Machine learning and Data Science (LAMDA 2017) organized during October 25–27, 2017, in the Department of Computer Science and Engineering, National Institute of Technology Goa, India. LAMDA 2017 is the first international conference, which aims at providing an opportunity for scientists, engineers, educators, and students to gather so as to present the state-of-the-art advancements in the fertile domains of machine learning and data science.

我们很高兴地向读者展示了于2017年10月25日至27日在印度果阿国立理工学院计算机科学与工程系举办的关于机器学习和数据科学最新进展的第一届国际会议(LAMDA 2017)的会议记录。LAMDA 2017是首届国际会议，旨在为科学家、工程师、教育工作者和学生提供一个机会，以展示在机器学习和数据科学的肥沃领域的最新进展。

Machine learning is a field of computer science that provides computers the ability to learn without being explicitly programmed. Machine learning focuses on constructing computer programs that improves with experience. Machine learning is a fast-growing field, which is widely used in the Web browsing, information filtering on the Web, credit card fraud detection, and many more applications. Data science is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. It includes data analysis fields such as data mining, machine learning, statistics, and knowledge discovery of data. Data science can be used in domains like pattern and speech recognition, robotics, bioinformatics.

机器学习是计算机科学的一个领域，它为计算机提供了无需明确编程即可学习的能力。机器学习专注于构建可以随着体验而改进的计算机程序。机器学习是一个快速发展的领域，被广泛应用于网页浏览、网页信息过滤、信用卡欺诈检测以及更多的应用。数据科学是一个跨学科的领域，涉及从结构化或非结构化的各种形式的数据中提取知识或见解的科学方法、过程和系统。它包括数据分析领域，如数据挖掘、机器学习、统计和数据的知识发现。数据科学可用于模式和语音识别、机器人、生物信息学等领域。