The Integrative Ideal of 4Ps Medicine

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Related lectures (32)

Page 3 of 4

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

Machine learning: Physics and Data

Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.

Big Data Ecosystems: Technologies and Challenges

Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.

Linear Regression and Logistic Regression

Covers linear and logistic regression for regression and classification tasks, focusing on loss functions and model training.

Big Data Best Practices and Guidelines

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

John Snow's Cholera Map

Explores Dr. John Snow's revolutionary cholera map and his lasting impact on modern epidemiology.

Data Analysis to AI and ML, Social Media

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Genetic Suppression: Synthetic Lethality

Explores synthetic lethality in genetics, focusing on cancer implications and therapeutic insights through genetic interactions.