![]() ![]() The advantage in the case of computers compared to humans is that computers can do this quickly, for bigger data sets and for a continuous period. We have several Machine Learning blogs, and you can access our Top 10 on Machine Learning. That is the whole concept of Machine Learning. The machine sipped through the data, understood which moves improved the chances of winning the game and added those moves to the algorithm. We only fed a basic algorithm to the machine and some data to learn from. Now, if we keep machines in our minds instead of the kids, the past game records are the data and the chess rule book is the algorithm. When the kid walks out of that room, you will be looking at a pretty good chess player. Lock the kid in a room (throw in some food and water as well).The following steps can be taken to make the kid learn: ![]() ![]() “Machine Learning is where computer algorithms are used to autonomously learn from data and information and improve the existing algorithms”.īut in simple terms, Machine Learning can be easily understood by taking this kid for example. Linear regression and prediction of stock prices.Let us discuss machine learning in brief and how machine learning’s linear regression plays an important role in the trading domain. When it comes to the trading domain, machine learning consists of concepts like regression analysis to predict the prices in the stock market for a successful trading journey. From the tailored recommendations we receive on shopping sites to automating the trading domain, AI makes our daily routines more efficient and enjoyable. Artificial intelligence (AI) and machine learning (ML) are revolutionising our lives in numerous ways. ![]()
0 Comments
Leave a Reply. |