Predictive Modeling and ML with MATLAB
Gain a comprehensive understanding of NLP, machine learning, deep learning (including TensorFlow, CNNs, RNNs, and LSTMs), and deep learning to facilitate the development of models and data analysis.
Description for Predictive Modeling and ML with MATLAB
Features of the Course:
Fundamentals of Machine Learning: Establish a robust understanding of machine learning, including classification, regression techniques, and the various forms of machine learning.
Concepts of Deep Learning: Explore the field of deep learning, with a particular emphasis on neural networks, CNNs, RNNs, and LSTMs, as well as practical applications that utilize TensorFlow.
Natural Language Processing (NLP): Acquire fundamental NLP skills, such as text mining, sentence structure analysis, and text classification techniques.
Hands-on Assessments: Participate in practical assessments to solidify theoretical knowledge and acquire real-world experience in deep learning and machine learning.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by MathWorks
Duration: 3 weeks at 6 hours a week
Schedule: Flexible
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