Python Ai Programming

Just like most software applications, developers are writing artificial intelligence projects in multiple languages, but there isn't a perfect programming language that can be fully equipped with artificial intelligence projects.

The pace of human use of machines to help production has never stopped. To enter the AI ??field, we must first understand the current structural system of the artificial intelligence industry.

Here to find year-end inventory counts 2017 top 20 hot topics in Yunqi Community (with 100+ topic list)

Whether it is a research institute, a business giant or a start-up enterprise, all walks of life are vigorously developing or introducing artificial intelligence. Due to insufficient reserves, artificial intelligence talents are now in a gap, and it is very huge.

Machine Learning (ML) studies these patterns and encodes human decision processes into algorithms. These algorithms can be applied to several instances to arrive at meaningful conclusions.

Machine learning technology is gradually infiltrating into all walks of life. Computer vision, natural language processing, robotics and other fields have basically been monopolized by machine learning algorithms and are gradually expanding into traditional industries such as education, banking, and medical.

Now, many industries have started to find the right person for a new data technology-related position, which is data scientists. With the participation of big-name companies such as Facebook, Google, StumbleUpon and PayPal, data scientists have become increasingly hot on the job. This kind of talented person can skillfully combine the business, analytical work and computer skill, bring us unprecedented enterprise productivity promotion and blank filling function. Facebook "In this position, you will be a software engineer and measurement researcher ...