Data Science And Artificial Intelligence Hands-On Tutorials
Latest Data Science Tutorials
Linear Regression in Machine Learning with Python & Sklearn
Linear regression is a machine learning algorithm used in various industries. This tutorial will teach you how to implement linear regression using Python and Scikit-Learn (Sklearn).
A Complete Guide to Speech Emotion Recognition in Tensorflow
Speech Emotion Recognition (SER) involves analyzing various acoustic features of speech signals to identify emotional states. These features include pitch, volume, tempo, and pauses in speech. Machine learning algorithms are trained on labeled datasets containing audio recordings with corresponding emotion labels (e.g., happy, sad, angry).
Machine Learning
Machine learning (ML) is a branch of artificial intelligence concerned with creating and investigating statistical algorithms that can learn from data, adapt their behavior based on new information, and make predictions or decisions without being explicitly programmed. This allows them to effectively handle tasks with minimal guidance.
Deep Learning
Deep learning (DL) is a method within artificial intelligence that teaches computers to process information based on artificial neural networks with representation learning. The term “deep” refers to the use of multiple layers in the network. Deep learning models have the ability to recognize complex patterns in various types of data, such as images, sounds, or text, resulting in accurate predictions and insights.
Data Analytics and Data Science
Data analytics converts raw data into valuable insights by employing various tools, technologies, and methodologies to detect trends and solve problems. Through data analytics, businesses can optimize processes, improve decision-making, and drive growth.