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Title: Fundamentals of Data Science
Description: A hand-written 175 pages comprehensive overview and well organized introduction to all the concepts in data science having the following contents : 1. introduction 2. advances in data management 3. data integration 4. data mining and applied statistics 5. artificial intelligence 6. information retrieval and text mining 7. cloud computing 8. semantic web technologies 9. object and component based software development 10. fundamentals of computing and computer systems. A must-have for 3rd or 4th year undergraduates wishing to specialize in data science for an introduction to the field, for master's and doctoral students in this area who can utilize it as a refresher, for industry practitioners for a formal textbook understanding of data science.
Description: A hand-written 175 pages comprehensive overview and well organized introduction to all the concepts in data science having the following contents : 1. introduction 2. advances in data management 3. data integration 4. data mining and applied statistics 5. artificial intelligence 6. information retrieval and text mining 7. cloud computing 8. semantic web technologies 9. object and component based software development 10. fundamentals of computing and computer systems. A must-have for 3rd or 4th year undergraduates wishing to specialize in data science for an introduction to the field, for master's and doctoral students in this area who can utilize it as a refresher, for industry practitioners for a formal textbook understanding of data science.
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Title: Fundamentals of Data Science
Description: A hand-written 175 pages comprehensive overview and well organized introduction to all the concepts in data science having the following contents : 1. introduction 2. advances in data management 3. data integration 4. data mining and applied statistics 5. artificial intelligence 6. information retrieval and text mining 7. cloud computing 8. semantic web technologies 9. object and component based software development 10. fundamentals of computing and computer systems. A must-have for 3rd or 4th year undergraduates wishing to specialize in data science for an introduction to the field, for master's and doctoral students in this area who can utilize it as a refresher, for industry practitioners for a formal textbook understanding of data science.
Description: A hand-written 175 pages comprehensive overview and well organized introduction to all the concepts in data science having the following contents : 1. introduction 2. advances in data management 3. data integration 4. data mining and applied statistics 5. artificial intelligence 6. information retrieval and text mining 7. cloud computing 8. semantic web technologies 9. object and component based software development 10. fundamentals of computing and computer systems. A must-have for 3rd or 4th year undergraduates wishing to specialize in data science for an introduction to the field, for master's and doctoral students in this area who can utilize it as a refresher, for industry practitioners for a formal textbook understanding of data science.