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AI & Deep Learning | Grant Ingersoll @ DeveloperWeek 2019
"Learn to harness the power of AI and deep learning from Grant Ingersoll, covering practical tips and industry-leading strategies for building effective machine learning systems."
- Know what you’re getting into: Understand the technical needs of your project and the trade-offs involved.
- Choose the right tool for the job: Select machine learning libraries that fit your use case, such as TensorFlow, PyTorch, or Keras.
- Integrate with existing systems: Leverage existing knowledge bases, FAQs, and search engines to enhance question answering capabilities.
- Use ensemble approaches: Combine symbolic and deep learning-based approaches to achieve better results.
- Focus on NLP: Concentrate on natural language processing (NLP) to improve question answering and sentiment analysis.
- Scale your answers: Develop strategies to scale your answers and provide more accurate responses.
- Leverage user feedback: Utilize user feedback and behavior to improve question answering and recommendation systems.
- Don’t be afraid to experiment: Try new approaches and technologies, such as using Spark or TensorFlow, to find what works best for your project.
- Make use of existing knowledge: Utilize existing knowledge bases and FAQs to enhance question answering capabilities.
- Don’t overcomplicate things: Focus on simplicity and usability when designing your system.
- Continuously evaluate and improve: Continuously evaluate and improve your system to meet the needs of your users.
- Embrace change: Embrace changes in technology and adapt to new developments in the field.