Data Analytics and Machine Learning
portes grátis
Data Analytics and Machine Learning
Navigating the Big Data Landscape
Garg, Payal; Singh, Pushpa; Mishra, Asha Rani
Springer Verlag, Singapore
03/2024
353
Dura
Inglês
9789819704477
15 a 20 dias
Descrição não disponível.
Chapter 1. Introduction to Data Analytics, Big Data, and Machine Learning.- Chapter 2. Fundamentals of Data Analytics and Lifecycle.- Chapter 3. Building Predictive Models with Machine Learning.- Chapter 4. Stream data model and architecture.- Chapter 5. Leveraging Big Data for Data Analytics.- Chapter 6. Advanced Techniques in Data Analytics.- Chapter 7. Scalable Machine Learning with Big Data.- Chapter 8. Big Data Analytics Framework using Machine Learning on Massive Datasets.- Chapter 9. Deep-learning Techniques in Big-Data analytics.- Chapter 10. Data Privacy and Ethics in Data Analytics.- Chapter 11. Practical Implementation of Machine Learning Techniques & data analytics using R.- Chapter 12. Real-World Applications of Data Analytics, Big Data, and Machine Learning.- Chapter 13. Implementing Data-Driven Innovation in Organizations.- Chapter 14. Business Transformation using Big Data Analytics and Machine Learning.- Chapter 15. Future Trends and Emerging Opportunities in HealthAnalytics.- Chapter 16. Future Trends in Data Analytics and Machine Learning.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Predictive Analytics;Stream data model;Real-time analytics;Time series analysis;Natural Language Processing (NLP);Text analytics;Big Data;Machine Learning techniques
Chapter 1. Introduction to Data Analytics, Big Data, and Machine Learning.- Chapter 2. Fundamentals of Data Analytics and Lifecycle.- Chapter 3. Building Predictive Models with Machine Learning.- Chapter 4. Stream data model and architecture.- Chapter 5. Leveraging Big Data for Data Analytics.- Chapter 6. Advanced Techniques in Data Analytics.- Chapter 7. Scalable Machine Learning with Big Data.- Chapter 8. Big Data Analytics Framework using Machine Learning on Massive Datasets.- Chapter 9. Deep-learning Techniques in Big-Data analytics.- Chapter 10. Data Privacy and Ethics in Data Analytics.- Chapter 11. Practical Implementation of Machine Learning Techniques & data analytics using R.- Chapter 12. Real-World Applications of Data Analytics, Big Data, and Machine Learning.- Chapter 13. Implementing Data-Driven Innovation in Organizations.- Chapter 14. Business Transformation using Big Data Analytics and Machine Learning.- Chapter 15. Future Trends and Emerging Opportunities in HealthAnalytics.- Chapter 16. Future Trends in Data Analytics and Machine Learning.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
