Category: Machine Learning

  • E-Commerce ML/AI Classification

    The article outlines the process of using TensorFlow to categorize clothing images. It involves pre-processing data, building an ML model, and making predictions. The application relies on Python and Jupyter Anaconda IDE, using the tf.keras high-level API. The dataset comprises 60,000 grayscale images in various fashion categories, with data divided into training and testing sets…

  • Keras LSTM Stock Prediction

    Despite the vast amount of historical stock data, the high noise to signal ratio and varied market conditions cause inadequate stock price predictions. A solution to these challenges is Long Short Term Memory (LSTM). LSTMs offer a range of adjustable parameters without the necessity for fine-tuning, and efficiently handle sequential data.

  • LegalTech Law-as-a-Service (LaaS)

    LegalTech Law-as-a-Service (LaaS)

    Law-as-a-Service (LaaS) Global Legal Market SWOT Analysis Deloitte Example: 16 AI Projects Legal Tech Portfolio Legal Tech Agile/Scrum/HR Analysis Key LaaS Components LaaS On-Prem/Virtual Workspace Cloud Computing (CC) LA Virtualization

  • LegalTech Law-as-a-Service (LaaS)

    LegalTech Law-as-a-Service (LaaS)

    Global Legal Market SWOT Analysis: Entities: offices of lawyers, title abstract and settlement offices and offices of notaries Legal professionals: solicitors, barristers and lawyers Big Four accounting firms – Deloitte, EY, KPMG, and PwC Legal Analytics (LA) Driven Digitalization (LexisNexis Surveys) 70% cost reduction in legal information reviews 72.4% of the legal firms are supporting…

  • Heart Failure Prediction using Supervised ML/AI Technique

  • Heart Failure Prediction using Supervised ML/AI Technique

    Heart Failure Prediction using Supervised ML/AI Technique

    Introduction This project is aimed to support ESC guidelines [1] that help health professionals manage people with heart failure (HF) according to the best available evidence. The objective  is not only to develop an accurate survival prediction model but also to discover essential factors for the survival prediction of HF patients.  The complex nature of HF produces a significant amount…

  • Supervised ML/AI Breast Cancer Diagnostics (BCD) – The Power of HealthTech

    Pilots Related to HealthTech Infographic These plots illustrate the most basic application of ML/AI in BCD as the binary classification problem. Classification usually refers to any kind of problem where a specific type of class label is the result to be predicted from the given input field of data. This is a task which assigns a label value…

  • About MLOps

    About MLOps

    Machine Learning (ML), a subset of Artificial Intelligence, enables computers to learn from experience, improving tasks through performance measures. Deployed by businesses across sectors, ML powers various applications such as chatbots, decision support tools, fraud detection, etc. ML uses data analytics concepts like predictive and prescriptive algorithms, and techniques such as supervised, unsupervised, and deep…