Learn the basic concepts of artificial intelligence employing java programming and frameworks like WEKA, RapidMiner, and Deeplearning4J.
Inclusive of GST
Java-based Artificial Intelligence applications contribute to the maintenance of transparency and portability, as well as the integration of any system or process to carry out sophisticated tasks and functions to maximize productivity. Introduction to Artificial Intelligence with Java online course aims to teach individuals about the sophistication that java-based artificial intelligence incorporates in any development project and to assist them in using their knowledge to achieve a competitive edge in their careers.
Introduction to Artificial Intelligence with Java certification course is designed by Packt Publishing Ltd, a British organization that offers high-quality training and technical support to IT professionals. Introduction to Artificial Intelligence with Java online training begins with a quick introduction to artificial intelligence and java programming, thus participants should have a basic understanding of java programming and machine learning concepts to make the learning process more efficient. The course includes over 2 hours of HD video lectures that cover seven different aspects of the course, including introduction, AI games, and rule-based systems, interfacing with WEKA, handling attributes, supervised and unsupervised learning.
Yes
TCS iON
After completing the Introduction to Artificial Intelligence with Java online certification, individuals will learn the fundamentals of artificial intelligence using Java programming. Individuals will gain a thorough understanding of aspects of Artificial Intelligence, as well as the fundamentals of heuristic search and genetic programming. Individuals will be able to distinguish between syntactic and semantic similarities in texts and use various Java packages and tools such as WEKA, RapidMiner, Deeplearning4j, and others to develop artificial intelligence projects such as AI games. Individuals will be able to use LingPipe to develop machine learning models utilizing supervised and unsupervised machine learning strategies, as well as perform sentiment analysis for effective decision-making.
Brochure has been downloaded.
Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile