Master AI & Business Strategy: 100 Lessons For Everyone
Master AI: From Machine Learning to Cybersecurity - Dive into Neural Networks, Predictive Analytics, NLP &
4.53 (235 reviews)
788
students
5 hours
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May 2025
last update
$13.99
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What you will learn
Explain the concept of Artificial Intelligence and its significance in the modern world.
Differentiate between Narrow AI, General AI, and Superintelligent AI in terms of capabilities and limitations.
Utilize machine learning algorithms to identify patterns in data.
Implement a basic neural network using deep learning frameworks.
Assess the role of data in training AI systems and the importance of a robust AI ecosystem.
Apply supervised learning algorithms to solve real-world predictive problems.
Cluster data points using unsupervised learning algorithms like K-means clustering.
Design a reinforcement learning model to optimize decision-making processes.
Prepare datasets for machine learning by performing data cleaning, normalization, and feature selection.
Evaluate the performance of machine learning models to avoid overfitting using validation techniques.
Create a Convolutional Neural Network (CNN) to recognize patterns in images.
Develop a Recurrent Neural Network (RNN) for processing sequential data.
Generate realistic data samples with Generative Adversarial Networks (GANs).
Employ predictive analytics tools to forecast future trends based on historical data.
Implement text processing techniques in natural language processing (NLP) for sentiment analysis.
Leverage AI-driven decision-making tools to enhance business processes.
Analyze customer behavior using AI techniques for targeted marketing strategies.
Automate repetitive tasks within an organization using Robotic Process Automation (RPA).
Optimize supply chain operations by applying AI-driven predictive analytics.
Apply AI in healthcare to improve accuracy in medical diagnosis and personalized medicine.
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6060215
udemy ID
05/07/2024
course created date
22/10/2024
course indexed date
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