Global Certificate in Neural Networks for Retail & E-commerce
-- ViewingNowThe Global Certificate in Neural Networks for Retail & E-commerce is a comprehensive course that equips learners with essential skills in artificial intelligence and machine learning. This course is crucial in today's digital age, where businesses rely heavily on data-driven decision-making.
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โข Introduction to Neural Networks: Understanding the basics of artificial neural networks, their structure, and functionality.
โข Data Preprocessing: Techniques for data cleaning, normalization, and transformation for effective neural network training.
โข Activation Functions: Exploring various activation functions and their impact on neural network performance.
โข Training Neural Networks: Learning about backpropagation, gradient descent, and optimization techniques for training neural networks.
โข Convolutional Neural Networks (CNNs): Diving into the architecture and applications of CNNs, especially in image recognition for retail and e-commerce.
โข Recurrent Neural Networks (RNNs): Examining RNNs, LSTMs, and GRUs, and their use in sequential data analysis for retail and e-commerce.
โข Deep Learning for Recommendation Systems: Implementing neural networks to develop intelligent recommendation systems in e-commerce.
โข Natural Language Processing (NLP) in E-commerce: Leveraging deep learning and NLP techniques for text analysis, sentiment analysis, and chatbots in retail and e-commerce.
โข Performance Evaluation & Model Selection: Techniques for evaluating, comparing, and selecting the best neural network models for retail and e-commerce applications.
โข Ethics & Bias in AI: Exploring ethical considerations, potential biases, and fairness issues in AI and neural network applications for retail and e-commerce.
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