
Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.

This tutorial covers AI and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

This video teaches Data Science and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

Comprehensive tutorials covering Lightroom CC features, editing techniques, and workflow optimization for photographers of all levels.

Comprehensive exploration of backpropagation in neural networks, covering its principles, algorithm, types, advantages, and disadvantages for effective machine learning model training.

Explore batch normalization in deep learning: its implementation, benefits, and impact on network performance. Learn when and how to use it effectively for improved model training.

In this tutorial, we have covered everything right from What is NLP, What are its challenges to Sentence Segmentation, RNN and LSTM, and much more, that will help you to understand this concept with ease.

Great Learning brings you this video on "NLP Interview Questions". We discuss some of the most common and predictable questions that can come your way during an NLP interview, and help you prepare to answer them confidently.

Support Vector Machines have various applications such as they can be used in classification of images, in handwritten character recognition, classification of satellite SAR data. Learn about SVM in this video by Great Learning.

Learn market basket analysis, Apriori algorithm, sales prediction, text analysis, and sentiment analysis for business intelligence. Gain practical skills in data-driven decision-making and customer behavior prediction.

This Unsupervised Learning Tutorial will introduce you to the nitty gritty of Machine Learning and How Unsupervised Algorithms Work.

Comprehensive overview of AWS image processing, machine learning, and AI services, featuring hands-on demos of SageMaker, Rekognition, Comprehend, Polly, and Textract for practical applications.

This Computer Vision Tutorial will introduce you Computer Vision and take you deep into concepts and practical implementation of the subject.

This tutorial on "Multi-Layer Perceptron" will help you to master all the core concepts of multi layer perceptrons and deep neural networks.

In this 'Neural Network' Tutorial, you will comprehensively learn about all the concepts of Artificial neural networks and the importance of Back-propagation in Neural Networks.

From Google’s Self Driving Car to Apple’s Siri, all of these are applications of Deep Learning. So, keeping in mind, the importance of deep learning, we have come up with this full course on ‘Deep Learning’.

Keeping the importance of artificial intelligence in mind, we have come up with this full course on Artificial Intelligence.

Comprehensive introduction to OpenCV in Python, covering installation, computer vision processes, face detection, and recognition. Includes hands-on exercises and applications in deep learning.

Learn digital image processing with Python, covering fundamentals, computer vision, CNNs, and practical applications. Gain hands-on experience using popular libraries and explore advanced techniques in this comprehensive tutorial.

Comprehensive introduction to data science, covering statistics, Python, machine learning, databases, exploratory analysis, visualization, deep learning, and neural networks with practical examples.

Comprehensive tutorial on deep learning with Python, covering essential libraries, machine learning concepts, neural networks, and computer vision with practical demonstrations and examples.