You will gain practical experience with the cutting-edge field of AI through this extensive programme, which delves into the cutting edge of technological development. You will learn how to use Python to script machine learning programmes and become an expert in a variety of aspects of artificial neural networks with this top-notch AI course.
Artificial Intelligence program in association with CCE, and SkildGrad Academy, will help you work on today’s cutting-edge technology Artificial Intelligence (AI). As part of this top AI training, you will learn how to use Python to script Machine Learning programmes and various components of artificial neural networks, supervised and unsupervised learning, logistic regression with a neural network approach, binary classification, and vectorization.
The primary focus of this course is to provide a comprehensive introduction to the concepts, techniques, and applications of artificial intelligence.
Two types of artificial intelligence are narrow (or weak) AI and general (or strong) AI.
Supervised learning is a machine learning approach where the algorithm learns from labeled training data to make predictions or decisions. An example is a spam email filter that learns from labeled emails (spam or not spam) to classify future emails.
One application of natural language processing is sentiment analysis, where AI analyzes text data to determine the emotional tone, such as positive, negative, or neutral, in social media posts, reviews, and customer feedback.
Bias in AI development refers to the presence of unfair or discriminatory outcomes in AI systems due to the data used for training. It can result from historical biases present in training data and can lead to AI systems making unjust decisions or perpetuating inequalities.
