Practical ML/AI Guide for Businesses

 AI allows investors to process real-time datasets from various sources such as stock prices, financial reports, social media sentiment, portfolio management resources, etc. Further, AI can make predictions on market movements, optimize investment portfolios, manage trading strategy in terms of ROI-risk balance, and automatically build a risk-aware customized portfolio. AI plays a key role in financial risk analysis - a process of assessing and evaluating potential risks and their impact on an organization, project, or decision-making. AI-Powered Stock Technical Indicators: Thanks to high-level automation and integration of multiple tasks, AI can simultaneously analyze hundreds of technical indicators, run simulations and forecasts, perform real-time technical analysis, and generate trading signals and alerts at a speed and frequency that is impossible for a human trader. AI Breakout Trading Strategies implemented as a stock scanner in Python. AI can download historical data

  Skin cancer is one of the most active types of cancer in the present decade.  As the skin is the body’s largest organ, the point of considering skin cancer as the most common type of cancer among humans is understandable . It is generally classified into two major categories: nonmelanoma (benign) and melanoma (malignant) skin cancer Melanoma type of cancers can only be cured if diagnosed early; otherwise, they spread to other body parts and lead to the victim’s painful death.  Therefore, the critical factor in skin cancer treatment is early diagnosis.  Yet, diagnoses is still a visual process , which relies on the long-winded procedure of clinical screenings, followed by dermoscopic analysis, and then a biopsy and finally a histopathological examination. This process  easily  takes months and the need for many medical professionals  and still  is only ~77% accurate. Current methods using AI and Deep Learning to diagnose lesions show  potential to spare time and mitigate errors- savi