Machine Learning /

Machine Learning /

Bibliografische gegevens
Hoofdauteur:	Mitchell, Tom M. (Tom Michael), 1951-
Formaat:	Boek
Taal:	English
Gepubliceerd in:	New York : McGraw-Hill, c1997.
Editie:	International edition.
Reeks:	McGraw-Hill series in computer science
Onderwerpen:	Machine learning. Computer algorithms.
Classic Catalogue:	View this record in Classic Catalogue

Gelijkaardige items

Foundations of machine learning /
door: Mohri, Mehryar, et al.
Gepubliceerd in: (2018)

Genetic algorithms in search, optimization, and machine learning /
door: Goldberg, David E. (David Edward), 1953-
Gepubliceerd in: (1989)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
door: Hossain, Ashraful, et al.
Gepubliceerd in: (2024)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
door: Oishi, Fayza Rezwana, et al.
Gepubliceerd in: (2020)

Understanding machine learning : from theory to algorithms /
door: Shalev-Shwartz, Shai
Gepubliceerd in: (2014)

Prediction of coronary heart diseases using supervised machine learning algorithms
door: Salam, Nazia Binte, et al.
Gepubliceerd in: (2023)

Subjectivity analysis using machine learning algorithm
door: Ahmed, Erfan, et al.
Gepubliceerd in: (2017)

Crowd source based traffic analysis using machine learning algorithm
door: Orthy, Marzia Khan, et al.
Gepubliceerd in: (2018)

Predicting criminal activities analyzing video signal using machine learning
door: Sadman, Syed Md., et al.
Gepubliceerd in: (2021)

Predictive maintenance of HVAC system using supervised machine learning algorithms
door: Fahim, Md. Zubayer Ahmed, et al.
Gepubliceerd in: (2021)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
door: Hasan, Kamrul, et al.
Gepubliceerd in: (2018)

Approaching (almost) any Machine learning problem /
door: Thakur, Abhishek
Gepubliceerd in: (2020)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
door: Rahman, Fahim, et al.
Gepubliceerd in: (2021)

Heart disease prediction using machine learning algorithms
door: Ali, Musfiq, et al.
Gepubliceerd in: (2019)

Pattern recognition and machine learning /
door: Bishop, Christopher M.
Gepubliceerd in: (2006)

Alumni opportunities using machine learning
door: Siaum, Arshif Sharlimin, et al.
Gepubliceerd in: (2019)

Analysing Facebook user risk using machine learning algorithm
door: Barua, Arnab, et al.
Gepubliceerd in: (2021)

Machine learning engineering /
door: Burkov, Andriy
Gepubliceerd in: (2020)

Public vehicle ETA system using machine learning
door: Kabir, Md. Miraz, et al.
Gepubliceerd in: (2018)

Study on human emotion based on facial expressions through human machine communication
door: Murshed, Tahmin Aysha, et al.
Gepubliceerd in: (2021)

Predicting depression in Bangladeshi undergraduates using machine learning
door: Choudhury, Ahnaf Atef, et al.
Gepubliceerd in: (2019)

Classi cation of magnetic configurations using machine learning algorithms
door: Bokul, Saffat, et al.
Gepubliceerd in: (2019)

Machine learning as an indicator for breast cancer prediction
door: Shadman, Tahsin Mohammed, et al.
Gepubliceerd in: (2019)

Crowed source based traffic analysis using machine learning algorithm
door: Orthy, Marzia Khan, et al.
Gepubliceerd in: (2017)

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
door: Hossain, Shoumik, et al.
Gepubliceerd in: (2022)

The hundred-page machine learning /
door: Burkov, Andriy
Gepubliceerd in: (2019)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
door: Imam, Saif
Gepubliceerd in: (2021)

Detecting online recruitment fraud by using machine learning
door: Ghosh, Gitanjali, et al.
Gepubliceerd in: (2021)

Analysis of the impact of online education using EEG signals and machine learning algorithms
door: Hoque, Ehsanul, et al.
Gepubliceerd in: (2021)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
door: Toufique, S.M, et al.
Gepubliceerd in: (2024)

A machine learning approach to detect depression and anxiety using supervised learning
door: Ullas, Md Tahmidur Rahman, et al.
Gepubliceerd in: (2019)

Predicting climate induced floods using machine learning
door: Saleh, Chowdhury Nafis, et al.
Gepubliceerd in: (2022)

The influence of neuromarketing: machine learning based empirical analysis
door: Muktadir, MD. Abdullah Al, et al.
Gepubliceerd in: (2024)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
door: Farabe, Abdullah Al, et al.
Gepubliceerd in: (2021)

Fault detection and predictive maintenance in IoT-based building management system using machine learning
door: Sabuj, Khaja Sheikh Imran, et al.
Gepubliceerd in: (2022)

Crop prediction based on geographical and climatic data using machine learning and deep learning
door: Alif, Al Amin, et al.
Gepubliceerd in: (2019)

Finding suitable locations for live campaigns using different machine learning techniques
door: Qudar, Mohiuddin Md. Abdul, et al.
Gepubliceerd in: (2018)

Phase Transitions in Machine Learning
door: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Gepubliceerd in: (2012)

Cardiovascular disease prediction model using Machine Learning Algorithm
door: Arefin Mirdha, MD Shamsul
Gepubliceerd in: (2023)

Machine learning for stress prediction
door: Salehin, Sherajus, et al.
Gepubliceerd in: (2023)