The Complete Healthcare Artificial Intelligence Course 2022

via Udemy

Udemy

2008 Courses


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Overview

Enroll in the most comprehensive and up-to-date online course for 2022, The Complete Healthcare Artificial Intelligence Course, offered by Udemy. Dive into the fascinating world of AI and its real-world applications in healthcare. This meticulously designed course covers everything from Data Science, Machine Learning, to Deep Learning, equipping you with the skills to create advanced AI models for healthcare applications.

What You Will Learn:

  • Essential Data Science techniques using Pandas and Matplotlib.
  • Diverse activation functions such as Sigmoid, Tanh, ReLU, Leaky ReLU, Exponential Linear Unit, and Swish.
  • Understanding and applying Markov models and Support Vector Machines along with other common classifiers.
  • Data manipulation techniques including importing data from UCI repository, converting text input to numerical data, and one-hot encoding.
  • Development of classification algorithms and their comparison.
  • Building high-accuracy machine learning and deep learning models based on given data.
  • Advanced classifiers and model building techniques such as RF with Response Coding, Stacking model, and Random Forest Classifier.
  • Comprehensive introduction to NLP (Natural Language Processing) and NLTK (Natural Language Toolkit).
  • Learning logistic regression, Naive Bayes, linear support vector machines, and handling missing data and anomalies in Python.
  • Understanding data standardization, temporal and geolocation features, and feature scaling.
  • Utilizing libraries and tools like Keras, Google Colab, Anaconda, and Jupiter Notebook.

This course not only provides theoretical knowledge but also offers practical exercises based on real-life examples. You'll have the opportunity to undertake five significant projects on healthcare issues, such as predicting taxi fares in New York City, DNA Classification, heart disease classification, diagnosing coronary artery disease, breast cancer detection, predicting diabetes with multilayer perceptrons, the Iris flower classification, and a project on medical treatment.

If you're interested in mastering the fields of Machine Learning, Deep Learning, and Artificial Intelligence within the healthcare sector, this course is designed to guide you through complex concepts, theories, algorithms, and coding libraries in an accessible manner. Jumpstart your journey into AI with hands-on experience and build a solid foundation for your career in data science.

Categories: Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Data Science Courses, Matplotlib Courses, pandas Courses.

Syllabus


Taught by

Hoang Quy La


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