A Survey of ML Techniques and Tools | Verma | International Journal of Machine Learning for Sustainable Development

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Rajan Verma
Professor, Atlanta
United States

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Keywords Agriculture, big data, crop yield prediction, KNN classification algorithm Artificial Intelligence, CNN, Deep Learning, EEG Data, Feature extraction, Machine Learning, Neuroscience Artificial Intelligence, CNN, Deep Learning, authentication, biometrics, privacy, session key, security Artificial Intelligence, Cryptography and network security (CNS), Cyber Security (CS), Algorithms, Ciphertext, Decryption, Encryption, Data Signature and security (DS). Artificial Intelligence, Data analytics, Disaster management, Long-term impacts, Machine learning, Predictive analytics Artificial Intelligence, Data mining, Online Social content, Sentiment analysis, Text Clustering Artificial Intelligence, Machine Learning, CAC system, C-RAN, 5G Webs, Fuzzy Judgement, IoT Artificial Intelligence, Sentiment Analysis Blockchain, Hash codes, Transaction, Electronic Health Care, Metadata, Throughput, Latency Decision tree regressor, machine learning Emotion Detection Home Automation, Embedded Systems, Internet of Things, Arduino UNO. LSTM Opinion Mining SOM, FPGA, OpenCL, Stratix V, Arria 10, CPU, GPU, Machine learning Security, Threats, Vulnerability, Web Applications TTS, Artificial Intelligence, Machine Learning, Clin- ical Neurology, Neurosurgery, Neurodegenerative diseases, Cen- tral Nervous System. TTS, Query Processing, Indexing, Large Dataset, MapReduce, Range Queries TTS, service description, structured networks, process algebra, customizable. risk management, survey, methodology, questionnaire, cube approach solar power production, optimization, prediction model, Clearsky DHI, Clearsky DNI, Clearsky GHI, solar irradiance, machine learning, statistical analysis.

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