Machine Learning Definition – Investopedia
What Is Machine Learning?
Machine learning is theconcept that a computer program can learn and adapt to new data without human interference. Machine learning is a field of artificial intelligence (AI) that keeps a computers built-in algorithms current regardless of changes in the worldwide economy.
Various sectors of the economy are dealing with huge amounts of data available in different formats from disparate sources. The enormous amount of data, known as big data, is becoming easily available and accessible due to the progressive use of technology. Companies and governments realize the huge insights that can be gained from tapping into big data but lack the resources and time required to comb through its wealth of information. As such, artificial intelligence measures are being employed by different industries to gather, process, communicate, and share useful information from data sets. One method of AI that is increasingly utilized for big data processing is machine learning.
The various data applications of machine learning are formed through a complex algorithm or source code built into the machine or computer. This programming code creates a model that identifies the data and builds predictions around the data it identifies. The model uses parameters built in the algorithm to form patterns for its decision-making process. When new or additional data becomes available, the algorithm automatically adjusts the parameters to check for a pattern change, if any. However, the model shouldnt change.
Machine learning is used in different sectors for various reasons. Trading systems can be calibrated to identify new investment opportunities. Marketing and e-commerce platforms can be tuned to provide accurate and personalized recommendations to their users based on the users internet search history or previous transactions. Lending institutions can incorporate machine learning to predict bad loans and build a credit risk model. Information hubs can use machine learning to cover huge amounts of news stories from all corners of the world. Banks can create fraud detection tools from machine learning techniques. The incorporation of machine learning in the digital-savvy era is endless as businesses and governments become more aware of the opportunities that big data presents.
How machine learning works can be better explained by an illustration in the financial world. Traditionally, investment players in the securities market like financial researchers, analysts, asset managers, individual investors scour through a lot of information from different companies around the world to make profitable investment decisions. However, some pertinent information may not be widely publicized by the media and may be privy to only a select few who have the advantage of being employees of the company or residents of the country where the information stems from. In addition, theres only so much information humans can collect and process within a given time frame. This is where machine learning comes in.
An asset management firm may employ machine learning in its investment analysis and research area. Say the asset manager only invests in mining stocks. The model built into the system scans the web and collects all types of news events from businesses, industries, cities, and countries, and this information gathered makes up the data set. The asset managers and researchers of the firm would not have been able to get the information in the data set using their human powers and intellects. The parameters built alongside the model extracts only data about mining companies, regulatory policies on the exploration sector, and political events in select countries from the data set. Saya mining company XYZ just discovered a diamond mine in a small town in South Africa, the machine learning app would highlight this as relevant data. The model could then use an analytics tool called predictive analytics to make predictions on whether the mining industry will be profitable for a time period, or which mining stocks are likely to increase in value at a certain time. This information is relayed to the asset manager to analyze and make a decision for his portfolio. The asset manager may make a decision to invest millions of dollars into XYZ stock.
In the wake of an unfavorable event, such as South African miners going on strike, the computer algorithm adjusts its parameters automatically to create a new pattern. This way, the computational model built into the machine stays current even with changes in world events and without needing a human to tweak its code to reflect the changes. Because the asset manager received this new data on time, they are able to limit his losses by exiting the stock.
View original post here:
Machine Learning Definition - Investopedia
- Machine Learning in Drug Discovery Market to Witness Exponential Growth: Key Players, $250M Eli Lilly Deal & Regional Insights for 2025-2034 -... - July 18th, 2025 [July 18th, 2025]
- Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors - Nature - July 18th, 2025 [July 18th, 2025]
- Do You Know What It Means To Train a Machine Learning Model? - LSU - July 18th, 2025 [July 18th, 2025]
- Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast... - July 18th, 2025 [July 18th, 2025]
- A Machine Learning-Reconstructed Dataset of River Discharge, Temperature, and Heat Flux into the Arctic Ocean - Nature - July 18th, 2025 [July 18th, 2025]
- Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths | Schizophrenia -... - July 18th, 2025 [July 18th, 2025]
- Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction - Frontiers - July 18th, 2025 [July 18th, 2025]
- Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm - Nature - July 18th, 2025 [July 18th, 2025]
- Identifying the crucial oncogenic mechanisms of DDX56 based on a machine learning-based integration model of RNA-binding proteins - Nature - July 18th, 2025 [July 18th, 2025]
- AI and Machine Learning Skills Are Make or Break for Developers: 71% of Tech Leaders Wont Hire Without Them - Yahoo Finance - July 18th, 2025 [July 18th, 2025]
- Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression - Nature - July 18th, 2025 [July 18th, 2025]
- Prognosis of air quality index and air pollution using machine learning techniques - Nature - July 18th, 2025 [July 18th, 2025]
- Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using... - July 18th, 2025 [July 18th, 2025]
- PlayStation 6 Likely to Feature 24 GB RAM for Advanced Ray Tracing and Machine Learning Without Raising Costs - Wccftech - July 18th, 2025 [July 18th, 2025]
- Machine Learning-Assisted Iterative Screening for Efficient Detection of Drug Discovery Starting Points - ACS Publications - July 16th, 2025 [July 16th, 2025]
- 2025 IT Camp on AI & Machine Learning for Beginners to be held August 5 - Southeastern Oklahoma State University - July 16th, 2025 [July 16th, 2025]
- Utilizing machine learning to predict MRI signal outputs from iron oxide nanoparticles through the PSLG algorithm - Nature - July 16th, 2025 [July 16th, 2025]
- Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer - Nature - July 16th, 2025 [July 16th, 2025]
- Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence - Nature - July 16th, 2025 [July 16th, 2025]
- Predicting clozapine-induced adverse drug reaction biomarkers using machine learning - Nature - July 16th, 2025 [July 16th, 2025]
- Postoperative complication severity prediction in penile prosthesis implantation: a machine learning-based predictive modeling study - Nature - July 16th, 2025 [July 16th, 2025]
- The Future of AI & Machine Learning: Perspective on Shaping Tomorrows Business Landscape - Vocal - July 16th, 2025 [July 16th, 2025]
- Machine Learning: Your Ticket to a Thriving Career in the Tech World - The Impressive Times - July 14th, 2025 [July 14th, 2025]
- Integrative analysis of multi-omics data and gut microbiota composition reveals prognostic subtypes and predicts immunotherapy response in colorectal... - July 14th, 2025 [July 14th, 2025]
- Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics - Nature - July 14th, 2025 [July 14th, 2025]
- Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after... - July 12th, 2025 [July 12th, 2025]
- Geochemical-integrated machine learning approach predicts the distribution of cadmium speciation in European and Chinese topsoils - Nature - July 12th, 2025 [July 12th, 2025]
- Machine learning-based construction of a programmed cell death-related model reveals prognosis and immune infiltration in pancreatic adenocarcinoma... - July 12th, 2025 [July 12th, 2025]
- Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical,... - July 12th, 2025 [July 12th, 2025]
- Machine learning identifies lipid-associated genes and constructs diagnostic and prognostic models for idiopathic pulmonary fibrosis - Orphanet... - July 12th, 2025 [July 12th, 2025]
- An evaluation methodology for machine learning-based tandem mass spectra similarity prediction - BMC Bioinformatics - July 12th, 2025 [July 12th, 2025]
- The Rise of AI in Trading: Machine Learning and the Stock Market - Disruption Banking - July 12th, 2025 [July 12th, 2025]
- Integrative analysis identifies IL-6/JUN/MMP-9 pathway destroyed blood-brain-barrier in autism mice via machine learning and bioinformatic analysis -... - July 12th, 2025 [July 12th, 2025]
- Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome - BMC Microbiology - July 10th, 2025 [July 10th, 2025]
- Machine learning-based identification of key factors and spatial heterogeneity analysis of urban flooding: a case study of the central urban area of... - July 10th, 2025 [July 10th, 2025]
- Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts -... - July 10th, 2025 [July 10th, 2025]
- Small Drones Market Trend Analysis and Forecast Report 2025-2034 | AI and Machine Learning Revolutionizing Autonomous Operations, Trade Tariffs Push... - July 10th, 2025 [July 10th, 2025]
- When a model touches millions: Hatim Kagalwala on accuracy accountability, and applied machine learning - Dataconomy - July 10th, 2025 [July 10th, 2025]
- New Study Uses Gait Data and Machine Learning for Early Detection of Anxiety and Depression - AZoSensors - July 10th, 2025 [July 10th, 2025]
- Machine Learning and the Evolution of Mobile Apps - CIO Applications - July 10th, 2025 [July 10th, 2025]
- Artificial Intelligence, Machine Learning, and Big Data in Thailand: Legal and Regulatory Developments 2025 - Lexology - July 10th, 2025 [July 10th, 2025]
- Karen Hao on how the AI boom became a new imperial frontier - Machine Learning Week 2025 - July 8th, 2025 [July 8th, 2025]
- Machine Learning and AI in Enhancing Image Analysis of 3D Samples - Drug Target Review - July 8th, 2025 [July 8th, 2025]
- Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027 - Machine Learning Week 2025 - July 8th, 2025 [July 8th, 2025]
- Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients - BMC... - July 8th, 2025 [July 8th, 2025]
- Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning - Nature - July 8th, 2025 [July 8th, 2025]
- Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction - Nature - July 6th, 2025 [July 6th, 2025]
- Predictive modeling and machine learning show poor performance of clinical, morphological, and hemodynamic parameters for small intracranial aneurysm... - July 6th, 2025 [July 6th, 2025]
- A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs - Nature - July 6th, 2025 [July 6th, 2025]
- Ultrabroadband and band-selective thermal meta-emitters by machine learning - Nature - July 4th, 2025 [July 4th, 2025]
- Machine Learning is Surprisingly Good at Simulating the Universe - Universe Today - July 4th, 2025 [July 4th, 2025]
- Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in... - July 4th, 2025 [July 4th, 2025]
- Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis - Nature - July 4th, 2025 [July 4th, 2025]
- Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers - Nature - July 4th, 2025 [July 4th, 2025]
- Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data - Nature - July 4th, 2025 [July 4th, 2025]
- A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques -... - July 4th, 2025 [July 4th, 2025]
- Machine learning for Parkinsons disease: a comprehensive review of datasets, algorithms, and challenges - Nature - July 4th, 2025 [July 4th, 2025]
- Cervical cancer prediction using machine learning models based on routine blood analysis - Nature - July 4th, 2025 [July 4th, 2025]
- Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach - Nature - July 4th, 2025 [July 4th, 2025]
- Predicting car accident severity in Northwest Ethiopia: a machine learning approach leveraging driver, environmental, and road conditions - Nature - July 4th, 2025 [July 4th, 2025]
- Sensormatic Solutions Adds Machine Learning to Shrink Analyzer - Ink World magazine - July 4th, 2025 [July 4th, 2025]
- Exploring the link between the ZJU index and sarcopenia in adults aged 2059 using NHANES and machine learning - Nature - July 4th, 2025 [July 4th, 2025]
- Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate... - July 2nd, 2025 [July 2nd, 2025]
- New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models - Nature - July 2nd, 2025 [July 2nd, 2025]
- Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application -... - July 2nd, 2025 [July 2nd, 2025]
- Advanced analysis of defect clusters in nuclear reactors using machine learning techniques - Nature - July 2nd, 2025 [July 2nd, 2025]
- Machine learning analysis of kinematic movement features during functional tasks to discriminate chronic neck pain patients from asymptomatic controls... - July 2nd, 2025 [July 2nd, 2025]
- Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above - BMC Geriatrics - July 2nd, 2025 [July 2nd, 2025]
- Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and... - July 2nd, 2025 [July 2nd, 2025]
- A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia - Nature - July 2nd, 2025 [July 2nd, 2025]
- Identifying ovarian cancer with machine learning DNA methylation pattern analysis - Nature - July 2nd, 2025 [July 2nd, 2025]
- High-isolation dual-band MIMO antenna for next-generation 5G wireless networks at 28/38 GHz with machine learning-based gain prediction - Nature - July 2nd, 2025 [July 2nd, 2025]
- Sony and AMD want to focus on machine learning for the PS6 - Instant Gaming News - July 2nd, 2025 [July 2nd, 2025]
- How Machine Learning is Reshaping the Future of Sports Betting? - London Daily News - July 2nd, 2025 [July 2nd, 2025]
- An interpretable machine learning model for predicting depression in middle-aged and elderly cancer patients in China: a study based on the CHARLS... - July 2nd, 2025 [July 2nd, 2025]
- These Eight Projects Showcase the Power of Machine Learning on the Edge - Hackster.io - June 29th, 2025 [June 29th, 2025]
- Build Custom AI Tools for Your AI Agents that Combine Machine Learning and Statistical Analysis - MarkTechPost - June 29th, 2025 [June 29th, 2025]
- Check out these essential tips and trends for SEO in 2025 as AI and machine learning loom large - EdTech Innovation Hub - June 29th, 2025 [June 29th, 2025]
- Using machine learning to predict the severity of salmonella infection - Open Access Government - June 28th, 2025 [June 28th, 2025]
- How AI and machine learning are transforming drug discovery - Pharmaceutical Technology - June 28th, 2025 [June 28th, 2025]