Machine Learning: Rumbling and Tumbling Technology Changing the World

Machine Learning: Rumbling and Tumbling Technology Changing the World

Machine learning is a technology that has witnessed an exponential rise in its usage and popularity in the last couple of years.

Tech-oriented individuals around the world are quickly learning machine learning and putting the knowledge to various uses. Consequently, machine learning engineers are in high demand as a result.

The focus of machine learning technology is the algorithm. Machine learning algorithms are capable of learning from the data we provide. As new data is provided, the model’s accuracy and efficiency to make decisions improve with subsequent training.

Giants like Amazon, Walmart, for example, collect a huge volume of new data every day. The accuracy of finding associated products or recommendation engine improves with this huge amount of training data available.

Analysts believe a very powerful utility of machine learning is its ability to automate various decision-making tasks. This frees up a lot of time for developers to use their time to more productive use. For example, some common use we see in our daily life is social media sentiment analysis and chatbots.

The moment a negative tweet is made related to a product or service of a company, a chatbot instantly replies as first-level customer support. Essentially, machine learning is changing the world with its automation for almost everything imaginable.

A major benefit of using machine learning technology is its wide range of applications. Machine learning is used in every industry these days from education to the DoD. Applications for GPS Tracking for traffic, email spam filtering, text prediction, spell check and correction, etc., are products of machine learning.

Machine learning is a branch of artificial intelligence.

Want to learn more? Tonex offers machine learning Training Bootcamp, a 3-day technical training course covering the fundamentals of machine learning and much more.

Participants learn differences and similarities between machine learning, Artificial Intelligence, Deep Learning, Data Mining and Data Warehouse. Artificial Intelligence uses models built by machine learning to create intelligent behavior applied to businesses, marketing and sales, operations, autonomous cars, games and industrial automation by prediction based on rules and using programming languages and algorithms.

For more information, questions, comments, Contact us.

  

要查看或添加评论,请登录

Charles Alexi的更多文章

社区洞察

其他会员也浏览了