Certificate in Applied Machine Learning for Business
-- ViewingNowThe Certificate in Applied Machine Learning for Business is a comprehensive course designed to meet the explosive industry demand for machine learning expertise. This program equips learners with essential skills to advance their careers in this fast-growing field.
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• Introduction to Machine Learning: Basics of machine learning, types of machine learning, use cases, and real-world examples.
• Data Preprocessing: Data cleaning, data wrangling, data transformation, feature scaling, and data normalization.
• Supervised Learning Algorithms: Linear regression, logistic regression, support vector machines (SVM), naive Bayes, and decision trees.
• Unsupervised Learning Algorithms: K-means clustering, hierarchical clustering, principal component analysis (PCA), and singular value decomposition (SVD).
• Neural Networks: Introduction to artificial neural networks, deep learning, backpropagation, and convolutional neural networks.
• Evaluation Metrics: Accuracy, precision, recall, F1 score, ROC curve, AUC, and cross-validation.
• Applied Machine Learning: Real-world applications of machine learning in business, marketing, finance, healthcare, and manufacturing.
• Ethics and Bias in Machine Learning: Bias in data, bias in algorithms, and ethical considerations in deploying machine learning models.
• Machine Learning Tools: Introduction to popular machine learning libraries and platforms, such as scikit-learn, TensorFlow, and Keras.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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