Participants should bring Laptop & Android phone
Top Engineers is an organization that is run by MIT-ANNA University Alumni, Chennai. Top Engineers specializes in providing hands-on experience on industrial practices to its participants through various workshops, seminars and other means by renowned subject matter experts and researchers to bring out the real-world experience. Top Engineers workshops are designed to provide an insight view in the field of engineering. All the concepts will be explained in detail with the help of theory and with specially designed animations which would help the students to visualize things before actually practically working on it. Top Engineers have conducted more than 500 programs in India and trained over 1, 00,000+ students in the last 7 years.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.
Agenda for Workshop
 Dive into the world of Machine Learning.
 Great Examples of ANN.
 Intro to Artificial Neural Networks.
 Explaining ANNs in depth.
 Various techniques for ANN Optimization.
basics of ml - supervised, unsupervised, reinforced
 heavy applications of Neural Networks.
 NN representation
 forward and backward propagation.
 Practical Implementation of ANNs for the same.
 housing price prediction problem with Machine Learning.
 binary classification
 Logistic Regression
 Vectorization in ANNs
 Practical project demonstration.
Extra: Introduction to Next level research scopes - Art. Intuition, Art. Deception