Crime prediction using machine learning

Sep 19, 2025

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Thatu2019s where crime prediction powered by machine learning is changing the game. Instead of reacting after the fact, agencies can now forecast where, when, and sometimes even how crimes are most likely to occur. This marks a shift from traditional policing to proactive, intelligence-driven strategies.

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Crime prediction using machine learning

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Predicting Phospholipidosis Using Machine Learning

Lowe et al., Molec. Pharmaceutics, 7 , 1708 ( 2010). 1. Predicting Phospholipidosis Using Machine Learning. Robert Lowe (Cambridge) John Mitchell (St Andrews) Robert Glen (Cambridge) Hamse Mussa (Cambridge) Florian Nigsch (Novartis).

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Digit Recognition Using Machine Learning

Digit Recognition Using Machine Learning. Matheus Lelis University of Massachusetts: Dartmouth. Abstract.

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Seizure prediction and machine learning

Seizure prediction and machine learning. Jeff Howbert March 11, 2014. Epilepsy. Group of long-term neurological disorders characterized by epileptic seizures. Seizures involve excessive, abnormal nerve discharge in cerebral cortex. Wide spectrum of severity and symptoms.

1.03k views • 41 slides

Machine Learning Based Models for Time Series Prediction

Machine Learning Based Models for Time Series Prediction. 2014/3. Outline. Support Vector Regression Neural Network Adaptive Neuro -Fuzzy Inference System Comparison. Support Vector Regression. Basic Idea Given a dataset

735 views • 38 slides

An Integrated Machine Learning Approach to Stroke Prediction

An Integrated Machine Learning Approach to Stroke Prediction. Presenter: Tsai Tzung Ruei Authors: Aditya Khosla , Yu Cao, Cliff Chiung -Yu Lin, Hsu- Kuang Chiu, Junling Hu, Honglak Lee . 國立雲林科技大學 National Yunlin University of Science and Technology. SIGKDD 2010. Outline. Motivation

1.96k views • 13 slides

Machine Learning Algorithms for Protein Structure Prediction

Machine Learning Algorithms for Protein Structure Prediction. Jianlin Cheng Institute for Genomics and Bioinformatics School of Information and Computer Sciences University of California Irvine 2006. Outline. Introduction 1D Prediction 2D Prediction (Beta-Sheet Topology)

1.27k views • 65 slides

Analytics-Based Crime Prediction

As per studies conducted by the University of California, it is observed that crime in any area follows the same pattern as that of earthquake aftershocks. It is difficult to predict an earthquake, but once it happens the aftershocks following it are quite predictable. Same is true for the crimes happening in a geographical area.

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Machine learning using spark

http://www.learntek.org/product/machine-learning-using-spark/ Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional. www.learntek.org

225 views • 16 slides

Smart Phones using Machine Learning

Master machine learning, artificial intelligence, and other technologies from industry experts at machine learning training institute in Hyderabad. Many companies are striving hard to make the best out of these emerging technologies.

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Topic Detection using Machine Learning

Various types of social media such as blogs, discussion forums and peer to peer networks present a wealth of information that can be very helpful. Given vast amount of data, one of the challenge has been to automatically identify the topic of the background chatter. Such emerging topics can be identified by the appearance of multiple posts on a unique subject matter, which is distinct from previous online discourse. We address the problem of identifying topics through the use of machine learning. I propose a topic detection method based on supervised machine learning model, where sentences are labelled, tokenized and the vectorised sentence is trained on densely connected neural network. Compared to conventional gradient descent optimization algorithm, Adam optimizer trains the data much faster and efficiently. Finally the model is tested on an Android App with live data from Google News. Mr. Ajmal Rasi | Dr. Rajasimha A Makram | Ms. Shilpa Das "Topic Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14272.pdf Paper URL: http://www.ijtsrd.com/computer-science/artificial-intelligence/14272/topic-detection-using-machine-learning/mr-ajmal-rasi

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Develop Machine Learning using Python

Develop Machine Learning using Python. Rafie Tarabay eng_rafie@mans.edu.eg mrafie@eg.ibm.com. Machine Learning. Machine Learning. a machine learning-based system is not explicitly programmed but learnt from data.

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Disulfide Connectivity Prediction Using Machine Learning Approaches

Disulfide Connectivity Prediction Using Machine Learning Approaches. By Eng. Monther Alhamdoosh Supervisor : Prof. Rita Casadio Co-supervisor: Dr. Piero Fariselli. Session II 2009/2010. LAUREA MAGISTRALE IN BIOINFORMATICS INTERNATIONAL BOLOGNA MASTER IN BIOINFORMATICS

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Detecting Phishing Using Machine Learning

Phishing is a social engineering Technique which they main aim is to target the user Information like user id, password, credit card information and so on. Which result a financial loss to the user. Detecting Phishing is the one of the challenge problem that relay to human vulnerabilities. This paper proposed the Detecting Phishing Web Sites using different Machine Learning Approaches. In this to evaluate different classification models to predict malicious and benign websites by using Machine Learning Algorithms. Experiments are performed on data set consisting malicious and benign, In This paper the results shows the proposed Algorithms has high detection accuracy. Nakkala Srinivas Mudiraj "Detecting Phishing using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23755.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/23755/detecting-phishing-using-machine-learning/nakkala-srinivas-mudiraj

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Human Emotion Recognition using Machine Learning

It is quite interesting to recognize the human emotions in the field of machine learning. Using a person's facial expression one can know his emotions or what the person wants to express. But at the same time it's not easy to recognize one's emotion easily its quite challenging at times. Facial expression consist of various human emotions such as sad, happy , excited, angry, frustrated and surprise. Few years back Natural language processing was used to detect the sentiment from the text and then it took a step forward towards emotion detection. Sentiments can be positive, negative or neutral where as emotions are more refined categories. There are many techniques used to recognize emotions. This paper provides a review of research work carried out and published in the field of human emotion recognition and various techniques used for human emotions recognition. Prof. Mrs. Dhanamma Jagli | Ms. Pooja Shetty "Human Emotion Recognition using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25217.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/25217/human-emotion-recognition-using-machine-learning/prof-mrs-dhanamma-jagli

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disase prediction using machine lea

this machine learning

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Emotion Recognition Using Machine Learning

Loneliness in old age is growing to be a bigger and bigger problem. However, virtual home assistants can offer some help. People can rely on the natural language processing capabilities of these devices to have relatively seamless conversations. The technology is improving enough where increasingly difficult and complex conversations can be had. To know more about Emotion Recognition Using Machine Learning, visit AI Buzz. https://www.ai-buzz.com/detecting-emotions-and-combating-loneliness-with-ai-voice-assistants/

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Stock Market Prediction Using Machine Learning | Machine Learning Tutorial | Simplilearn

Stock Market prediction is an everyday use case of Machine Learning. It allows you to analyze and predict the future values of company stock. In this video, you will learn how to predict stock prices using time series data. We'll implement machine learning algorithms using specific libraries in Python to predict the prices.

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Fake News Detection using Machine Learning

Indian politics suffered from a great set back due to fake news. Fake news is intentionally written to mislead the audience to believe the false propaganda, which makes it difficult to detect based on news content. The fake news has hindered the mindset of the common people. Due to this widespread of the fake news online it is the need of the hour to check the authenticity of the news. The spread of fake news has the potential for extremely negative impact on society. The proposed approach is to use machine learning to detect fake news. Using vectorisation of the news title and then analysing the tokens of words with our dataset. The dataset we are using is a predefined curated list of news with their property of being a fake news or not. Our goal is to develop a model that classifies a given article as either true or fake. General Terms Fake News, Self Learning, Pattern Matching, Response Generation, Artificial Intelligence, Natural Language Processing, Context Free Grammar, Term Frequency Inverse Document Frequency, Stochastic Gradient Decent, Word2Vec. Nikhil Sharma "Fake News Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31148.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/31148/fake-news-detection-using-machine-learning/nikhil-sharma

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Thyroid Detection using Machine Learning

https://projectgurukul.org/thyroid-detection-using-machine-learning/

380 views • 7 slides

Heart Disease Prediction Using Machine Learning

https://projectgurukul.org/heart-disease-prediction-using-machine-learning/

1.35k views • 8 slides

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