Machine learning || Introduction || Main Components || Examples || Techniques
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This document discusses machine learning. It defines machine learning as designing algorithms that extract valuable information from data. It states that machine learning is useful for problems where existing solutions require fine-tuning or many rules, complex problems traditional methods can't solve, and environments that are changing. Examples of machine learning tasks are given, such as image classification using convolutional neural networks, detecting tumors using convolutional neural networks, automatically classifying news articles using natural language processing, and creating chatbots or personal assistants using natural language processing and question-answering modules.
Machine learning || Introduction || Main Components || Examples || Techniques
- 2. INTRODUCTION Machine learning is about designing algorithms that automatically extract valuable information from data.
- 3. MAIN COMPONENTS DATA MODEL LEARNING
- 4. MACHINE LEARNING IS GREAT FOR: Existing solutions require a lot of fine-tuning or a long list of rules. Machine learning algorithms can generally simplify code and perform better than traditional methods. Complex problems traditional methods can't solve: The best machine learning techniques can find a solution. A changing environment: machine learning systems can adapt to new data. Deep understanding of complex problems and large amounts of data.
- 5. EXAMPLES OF MACHINE LEARNING TASKS, ALONG WITH THE TECHNIQUES Image analyzing and classification Convolution Neural Network
- 6. EXAMPLES OF MACHINE LEARNING TASKS, ALONG WITH THE TECHNIQUES Detecting tumors in brain scans Convolution Neural Network
- 7. EXAMPLES OF MACHINE LEARNING TASKS, ALONG WITH THE TECHNIQUES Automatically classifying news articles Natural language processing (NLP)
- 8. EXAMPLES OF MACHINE LEARNING TASKS, ALONG WITH THE TECHNIQUES Creating chatbot or a personal assistant Natural language processing, question- answering modules
- 9. EXAMPLES OF MACHINE LEARNING TASKS, ALONG WITH THE TECHNIQUES Forecasting your company’s revenue next year Regression Models
- 10. EXAMPLES OF MACHINE LEARNING TASKS, ALONG WITH THE TECHNIQUES App development that react to voice commands RNNs, CNNs, or Transformers
- 11. EXAMPLES OF MACHINE LEARNING TASKS, ALONG WITH THE TECHNIQUES Building an intelligent bot for a game Reinforcement Learning
- 12. Thank You