Global Certificate in ML for Global Business
-- ViewingNowThe Global Certificate in Machine Learning (ML) for Global Business is a transformative course designed to empower professionals in the rapidly evolving world of data-driven decision making. This program bridges the gap between ML technologies and global business strategies, addressing the escalating industry demand for experts who can apply ML solutions to real-world business challenges.
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⢠Introduction to Machine Learning (ML): Basic concepts, history and applications of ML. Understanding different types of ML: supervised, unsupervised and reinforcement learning.
⢠Data Preprocessing: Data cleaning, wrangling and visualization techniques. Feature engineering and selection. Data normalization and transformation.
⢠Supervised Learning Algorithms: Linear regression, logistic regression, decision trees and support vector machines. Overfitting, underfitting and model evaluation metrics.
⢠Unsupervised Learning Algorithms: Clustering, dimensionality reduction and association rule learning. K-means clustering, principal component analysis and Apriori algorithm.
⢠Deep Learning: Artificial neural networks (ANN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Backpropagation and optimization techniques.
⢠Natural Language Processing (NLP): Text preprocessing, sentiment analysis and topic modeling. Word embeddings and language translation.
⢠Reinforcement Learning: Markov decision processes, Q-learning and deep Q-networks. Applications in gaming, robotics and autonomous vehicles.
⢠Big Data and ML: Distributed computing and parallel processing. Hadoop, Spark and Hive. Scalable ML algorithms and architectures.
⢠Ethics and ML: Bias, fairness and transparency in ML. Explainable AI and interpretability. Legal and regulatory considerations.
Note: This list is not exhaustive and may vary depending on the specific needs and goals of the certificate program.
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