Machine Learning is a subset of artificial intelligence (AI) and involves the development of algorithms and models. That then enable computers to learn from and make decisions based on data, without being explicitly programmed to do so. The models developed can perform prediction, recommendation systems, fraud detection, and many other applications.
The training program teaches individuals the fundamentals and provide hands-on experience with developing machine learning models. The course typically covers topics such as supervised and unsupervised learning, model selection, overfitting, and regularization. Course may also cover various algorithms such as linear and logistic regression, decision trees, and neural networks. It may include a combination of theoretical and practical components. In addition to programming, the course may also cover data preparation, data visualization, and model evaluation techniques.
The training program aims to teach participants how to build and apply machine learning models to solve real-world problems. The course also aims to teach participants how to use various machine learning tools and libraries, such as Python, TensorFlow, and Keras, to build and evaluate models.
The goal of this training program is to equip individuals with the knowledge and skills needed to build models to real-world problems. The program aims to teach participants the fundamentals including supervised and unsupervised learning, deep learning, and neural networks. The course will also teach participants how to use popular tools and libraries, such as Python, TensorFlow, and Keras.
The target audience for this training program includes:
There are no strict eligibility criteria for learning machine learning, as it is is accessible to individuals with a wide range of backgrounds and skillsets.
The following skills and knowledge can be helpful for individuals interested in learning machine learning:
This course is perfect for absolute beginners with no previous coding experience, to intermediates looking to sharpen their skills to the expert level.
This course as well as every other course we offer is available offline as well as online.
Yes, but you must complete all the mentioned modules in this course successfully to receive the course completion certificate.
For the participants who complete the course, there will be a dedicated placement team to guide them for better placements.