ML and NLP Basics

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Acquire proficiency in machine learning and deep learning methodologies, such as TensorFlow, CNNs, RNNs, LSTMs, and NLP, to facilitate efficient data analysis.

Key AI Functions:tensorflow,machine learning,rnn,cnn,artificial intelligence,ai & machine learning

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Description for ML and NLP Basics

Fundamentals of Machine Learning: Acquire a comprehensive comprehension of the fundamentals of machine learning, such as classification, regression, and ML techniques.
Methods of Deep Learning: Investigate the principles of deep learning, with a particular emphasis on the application of TensorFlow, digit classification, CNNs, RNNs, and LSTMs in the context of intricate data modeling.
Natural Language Processing (NLP): Learn critical NLP topics, including text mining, preprocessing, sentence structure analysis, and text classification, for practical applications.
Practical Evaluations: Take part in practical assessments to implement the techniques you have acquired and to enhance your comprehension of deep learning and machine learning models.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Edureka

Duration: 3 weeks at 6 hours a week

Schedule: Flexible

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