Advanced Learning Algorithms

Advanced Learning Algorithms

Stanford University

January 2024

Neural networks, decision trees and ensemble methods.

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Deep Learning and Neural Networks

Deep Learning and Neural Networks

IBM

January 2024

Fundamentals of deep learning and neural network architectures.

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Foundations of Cybersecurity

Foundations of Cybersecurity

Google

January 2024

Introduction to cybersecurity concepts and practices.

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Keras and TensorFlow

Keras and TensorFlow

IBM

January 2024

Building and training models with Keras and TensorFlow.

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Machine Learning with Python

Machine Learning with Python

IBM

January 2024

Machine learning fundamentals and Python implementation.

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Neural Networks and PyTorch

Neural Networks and PyTorch

IBM

January 2024

Neural networks development with PyTorch framework.

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Programming in Python

Programming in Python

Meta

January 2024

Python programming fundamentals and best practices.

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Prompt Engineering Basics

Prompt Engineering Basics

IBM

January 2024

Introduction to prompt engineering for LLMs.

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Prompt Engineering

Prompt Engineering

Rocketseat

January 2024

Prompt engineering techniques and applications.

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Regression and Classification

Regression and Classification

Stanford University

January 2024

Supervised learning, regression and classification algorithms.

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Security Operations Center

Security Operations Center

IBM

January 2024

SOC fundamentals and security monitoring.

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Unsupervised Learning

Unsupervised Learning

Stanford University

January 2024

Clustering, dimensionality reduction and unsupervised methods.

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