MACHINE LEARNING

Machine Learning workshops are included in the Data Academy subscription

In our increasingly tech-driven world, Machine Learning is literally driving the future. In this learning path, you’ll complete workshops on Machine Learning, Supervised Learning, Unsupervised Learning, and Applied AI and Natural Language Processing (NLP).

Once you complete these workshops you’ll be adept at understanding how modern machines learn and how to build optimized systems.

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INTRODUCTION TO SCIKIT-LEARN

This course covers scikit-learn’s syntax to solve simple data problem, which will be the starting point to develop machine learning solutions. 

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The Machine Learning Workshop
  1. Introduction to Scikit-Learn
  2. Clustering
  3. Key Concepts of Supervised Learning
  4. Supervised Learning Algorithms
  5. Introduction to Artificial Neural Networks
  6. Building A Trained Model
The Supervised Learning Workshop
  1. Introduction to Supervised Learning with Python
  2. Exploring and Visualizing Data with Python
  3. Performing Linear Regression with Python
  4. Performing Classification Tasks with Python
  5. Creating Ensemble Models with Python
  6. Evaluating Supervised Learning Models with Python
The Unsupervised Learning Workshop
  1. Introduction to Clustering
  2. Hierarchical Clustering
  3. Neighborhood Approaches and DBSCAN
  4. Dimensionality Reduction Techniques and PCA
  5. Autoencoders
  6. t-Distributed Stochastic Neighbor Embedding
  7. Topic Modeling
  8. Market Basket Analysis
  9. Hotspot Analysis
The Reinforcement Learning Workshop
  1. Introduction to Reinforcement Learning
  2. Introduction to The Markov Decision Process and Dynamic Programming
  3. Practice Deep Learning with TF2
  4. Getting Started with OpenAI and TensorFlow for RL
  5. Introduction to Dynamic Programming
  6. Introduction to Monte Carlo Methods
  7. Introduction to Temporal-Difference Learning
  8. Solving the Multi Armed Bandit Problem
  9. Introduction to Deep Q Learning
  10. Playing an Atari Game with a Deep Recurrent Q Network
  11. Introduction to Policy Based Methods for Reinforcement Learning
  12. Discussing Evolutionary Strategies for Reinforcement Learning
  13. Discussing Advancements for Reinforcement Learning
The Applied AI and Natural Language Processing Workshop
  1. An Introduction to AWS
  2. Analyzing Documents and Text with Natural Language Processing
  3. Topic Modeling and Theme Extraction
  4. Introduction to Conversational Artificial Intelligence
  5. Using Speech With the Chatbot
  6. Introduction to Computer Vision and Image Processing