Approaching (almost) any Machine learning problem /

Approaching (almost) any Machine learning problem /

Bibliografiske detaljer
Hovedforfatter:	Thakur, Abhishek (Author)
Format:	Bog
Sprog:	English
Udgivet:	[Place of publication not identified] : [Publisher not identified], 2020.
Fag:	Machine learning. Algorithms. Data mining. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

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

Detection of fake identities on twitter using supervised machine learning
af: Rahman, MD. Takiur, et al.
Udgivet: (2019)

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

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

Analysing Facebook user risk using machine learning algorithm
af: Barua, Arnab, et al.
Udgivet: (2021)

Machine Learning /
af: Mitchell, Tom M. (Tom Michael), 1951-
Udgivet: (1997)

Foundations of machine learning /
af: Mohri, Mehryar, et al.
Udgivet: (2018)

Detecting propagandistic poster title: a machine learning approach
af: Mahmood, Riaz, et al.
Udgivet: (2024)

A machine learning approach to credit default prediction and Individual credit scoring
af: Rahman, Md. Jaber, et al.
Udgivet: (2018)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
af: Sakib, Hasibul, et al.
Udgivet: (2024)

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

An efficient deep learning approach to classify white blood cells
af: Turja, Afif Ibna Kadir Khan, et al.
Udgivet: (2024)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
af: Shihab, Ibne Farabi, et al.
Udgivet: (2018)

Application of machine learning techniques on the context of livestock analysis
af: Islam, Md. Shajedul, et al.
Udgivet: (2018)

How to Solve Almost Any Problem
af: Barker, Alan

Gene classification and pattern analysis using data mining and machine learning techniques
af: Ramisa, Aiman Jabeen, et al.
Udgivet: (2021)

An implementation and analysis of deep learning models for the detection of wheat diseases
af: Zubair, Ahmad, et al.
Udgivet: (2024)

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

Bangla text classification using machine learning and deep learning techniques
af: Salehin, Kamrus, et al.
Udgivet: (2021)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
af: Kabir, Md Saif, et al.
Udgivet: (2024)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
af: Tasnim, Nishat, et al.
Udgivet: (2019)

Aspect based opinion mining on restaurant reviews
af: Tonmoy, Sazid Hasan, et al.
Udgivet: (2024)

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

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

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

Subjectivity analysis using machine learning algorithm
af: Ahmed, Erfan, et al.
Udgivet: (2017)

Document template identification and data extraction using machine learning and deep learning approach
af: Roy, Kaushik, et al.
Udgivet: (2024)

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

Understanding machine learning : from theory to algorithms /
af: Shalev-Shwartz, Shai
Udgivet: (2014)

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

Fuzzy modeling and genetic algorithms for data mining and exploration /
af: Cox, Earl
Udgivet: (2005)

Handwritten character recognition and prediction of age, gender and handedness using machine learning
af: Al Emran, Md., et al.
Udgivet: (2018)

Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
af: Billah, Muhtasim
Udgivet: (2014)

Start up business solution using machine learning
af: Sohan, Saad Ahmed, et al.
Udgivet: (2018)

A deep learning approach for prediction of ADHD using brain structure
af: Siam, Shafin Ahad, et al.
Udgivet: (2024)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
af: Abir, Tawhidur Rahman, et al.
Udgivet: (2019)

A novel approach to forecast traffic congestion using CMTF and machine learning
af: Chowdhury, Md. Mohiuddin, et al.
Udgivet: (2018)

Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
af: Ahmed, Shuvro, et al.
Udgivet: (2023)

Machine learning and statistics : the interface /
Udgivet: (1997)

Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness
af: Sabit, Ahmed Bin, et al.
Udgivet: (2021)