Category: Machine Learning
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A Comparative Analysis of Breast Cancer ML/AI Binary Classifications
This study is dedicated to #BreastCancerAwarenessMonth2022 #breastcancer #BreastCancerDay @Breastcancerorg @BCAction @BCRFcure @NBCF @LivingBeyondBC @breastcancer @TheBreastCancer @thepinkribbon @BreastCancerNow. One of the most common cancer types is breast cancer (BC), and early diagnosis is the most important thing in its treatment. Recent studies have shown that BC can be accurately predicted and diagnosed using machine learning (ML) technology. Our…
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Power BI for Data Scientists
Power BI is a business analytics tool that provides interactive data visualization capabilities, advanced analytics, and artificial intelligence. Power BI’s AI features include image recognition, text analytics, key driver analysis, and machine learning model building. It offers cloud-based services and a desktop-based interface, allowing data preparation, data discovery, and interactive dashboarding. Supported by Windows, Android,…
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ML/AI for Diabetes-2 Risk Management, Lifestyle/Daily-Life Support
The surge of Type-2 Diabetes (T2D) is majorly impacting developing nations, heightened mortality, and morbidity rates. The study explores AI/ML methods in assisting T2D management with potential challenges. The study discovered ML/AI techniques, like Random Forest Classifier and others, progressively aiding in clinical and self-management of diabetes. The study used datasets like PIMA and data…
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Technology Focus Weekly Update 16 Oct ’22
Get top data-driven technology highlights of the week: new SaaS products, tech business applications and learnings of the week: DevOps, DevSecOps, Cybersecurity, public cloud platforms (AWS/GCP/Azure), MarTech, ML/AI, MLOPs, NLP, edtech, e-courses, upcoming events, and related Infographics. Contents: DevOps November 8th, 2022 | 11 a.m. ET Providing reliable and secure services doesn’t just happen. Traditionally,…
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A Comparison of ML/AI Diabetes-2 Binary Classification Algorithms
The post discusses the increasing urgency to diagnose and treat Type-2 Diabetes (T2D), particularly in developing nations. It delves into the use of data-driven techniques, including ML/AI, in processing T2D data. Different ML/AI methods including DNN, SVM, and DT are applied to the Kaggle PIMA Indian Diabetes (PID) dataset, and performance is assessed using Python…
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HPO-Tuned ML Diabetes-2 Prediction
The blog details the author’s tests with machine learning (ML) for enhanced prediction of Type-2 diabetes. The workflows used include RandomizedSearchCV HPO, accuracy metrics, and cross-validation. The post provides in-depth analysis and comparisons of different ML algorithms, such as RandomForestClassifier, GaussianNB, and DecisionTreeClassifier. The experiment findings indicate that RandomForestClassifier with RandomizedSearchCV provides the highest accuracy,…
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ML/AI Credit Risk Analytics
This project utilized a variety of machine learning algorithms (RF, KNN, DT, GB, LR, ANN, and SVM) to create credit risk modeling for efficient credit rating. Among these, the Gradient Boosting algorithm showed the highest test accuracy at 81.7%. The project also produced feature importance coefficients that reflect relevant credit ratings or probability of default,…
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HealthTech ML/AI Q3 ’22 Round-Up
Featured Photo by Andy Kelly on Unsplash This blog presents a Q3 ’22 summary of current healthtech ML/AI innovation methods, trends and challenges. Virtual reality, artificial intelligence, augmented reality, and machine learning are all healthcare technology trends that are going to play a vital role across the entire healthcare system. Let’s take a look at…
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The MobiDev ML Approach to Demand Forecasting Demystified
This post outlines MobiDev’s machine learning framework for marketing-driven demand forecasting (DF), consisting of five steps. The process begins with an overview of input data and setting KPIs, followed by data preparation and exploratory analysis. DF models are then trained, tested, and cross-validated, concluding with their final deployment. The approach incorporates business-specific factors like product…
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Invest in AI via Macroaxis Sep ’22 Update
Invest in AI via Macroaxis Sep ’22 Update 4 AI pillars AI thematic idea 20 stocks Asset Allocation Market Capitalization (%) Instrument Composition Market Elasticity Risk/Return Ratio Asse ratings Technical Analysis Correlation Matrix Takeaways Business headlines
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ML/AI Diamond Price Prediction with R
The post discusses an analysis for determining the price of diamonds, aiming to detect possible overpayment. Using R Studio and various machine learning models, including linear regression, XGBoost, SVM, Decision Tree, and Random Forest, the study targets diamonds’ price and related factors. The best performance is provided by the Random Forest model, indicating the primary…
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US Real Estate – Harnessing the Power of AI
The content describes a continuation of the use-case series dedicated to real estate (RE) monitoring, trend analysis, and forecast. It focuses on predicting and estimating US house prices using a pre-trained ML model. The content covers various machine learning algorithms, data preprocessing, model training, and evaluation using the Boston housing price dataset. Key takeaways include…
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Gulf’s Oil Price Web Scraping in R
Gulf’s Oil Price Web Scraping in R. Gulf states to gain $1.3 trillion in additional oil revenue by 2026: IMF. We discuss the basics of sourcing oil market price data for free online. discuss the basics of sourcing oil market price data for free online. Webscraping in R is a technique to retrieve large amounts…
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Cloud-Native Tech Status Update Q3 2022
Cloud Computing Trends Q3 2022, market Share update key services IaaS PaaS FaaS Saas Cloud digital transformation all-the-way DevSecOps CI/Cd GitLab MLOps IoT Tech GCP gateway Big data Deloitte use-cases Stock markets Health Tech Cybersecurity Highlights Events Webinars AWS Storage E-training
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10 AI-Powered Websites for Content Writers
The content introduces ten innovative AI-powered websites, including Magic Eraser for image editing, Craiyon for AI-generated drawings, Rytr for fast content creation, Thing Translator for language translation via images, AutoDraw for automatic sketching, Fontjoy for AI-based font pairing, Talk to Books for referencing a collection of over 100,000 books, ‘This Person Does Not Exist’ for…
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ML/AI Wildfire Prediction using Remote Sensing Data
The content is a detailed exploration into the application of machine learning (ML) and artificial intelligence (AI) in predicting wildfires using a dataset acquired in Canada. It covers data preprocessing, ML workflow, exploratory data analysis (EDA), model training, performance evaluation, hyperparameter optimization (HPO), and data resampling techniques like SMOTE and ADASYN. The ML models are…
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Applications of ML/AI in HR – Predicting Employee Attrition
A critical arm of artificial intelligence (AI), machine learning (ML) is making strides in every area of HR. We discuss its role of ML/AI in HR and people-centric transformation. Results have a crucial influence on customer satisfaction and retention, especially when employees come into regular contact with customers. Knowing when employees are most likely to have…
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Marketing Summer 2022 Update
Hubspot Marketing Summer 2022 Update: Brand Consistency 4 Personalization Trends + Tips US Consumer Trends 20 Content Marketing Examples 9 Automation Trends Top Shopping Trends 8 Easy SEO Basics Social Media Checklist Social Media Daily Checklist SME Marketing Ideas Tik-Tok Marketing Highlights YouTube Thumbnail Ecommerce SEO Strategy ABM Strategy Job Simulations – HR 20 Webinar…
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Towards Optimized ML Wildfire Prediction
Towards Optimized ML Wildfire Prediction: This Python case example stems from the initial research into ML/AI wildfire prediction using the dataset that was downloaded from the UCI Machine Learning Repository.
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Macroaxis AI Investment Opportunity
The research presented examines the portfolio optimization potential of Macroaxis’ new artificial intelligence (AI) system. This tool automates processes like asset allocation, portfolio diversification and rebalancing, and equity research, providing a list of suggested investments. The AI makes suggestions based on market conditions and investor risk tolerance, and has demonstrated higher average returns than the…
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