# Course Content - [Setting up Machine Learning Projects](https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects.md): How To Set Your Machine Learning Projects Up For Success - [Overview](https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/overview.md): According to a 2019 report, 85% of AI projects fail to deliver on their intended promises to business. Why do so many projects fail? - [Lifecycle](https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/lifecycle.md): What is the lifecycle of a machine learning project? - [Prioritizing](https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/prioritizing.md): How do you decide which machine learning projects to work on? - [Archetypes](https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/archetypes.md): What are the different archetypes of machine learning projects? - [Metrics](https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/metrics.md): How do you pick metrics to optimize your machine learning project? - [Baselines](https://fall2019.fullstackdeeplearning.com/course-content/setting-up-machine-learning-projects/baselines.md): How to choose a good baseline to know whether your model is performing well or not? - [Infrastructure and Tooling](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling.md): The Training and Evaluation Phases of Your Machine Learning Workflow - [Overview](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/overview.md): What are the components of a machine learning system? - [Software Engineering](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/software-engineering.md): What are the good software engineering practices for Machine Learning developers? - [Computing and GPUs](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/hardware.md): How to choose appropriate hardware for your compute needs? Should you compute in the cloud or using your own GPUs? - [Resource Management](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/resource-management.md): How to effectively manage compute resources? - [Frameworks and Distributed Training](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/frameworks-and-distributed-training.md): How to choose a deep learning framework? How to enable distributed training for your models? - [Experiment Management](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/experiment-management.md): How to keep track of your model experiments? - [Hyperparameter Tuning](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/hyperparameter-tuning.md): How to tune your model hyper-parameters? - [All-in-one Solutions](https://fall2019.fullstackdeeplearning.com/course-content/infrastructure-and-tooling/all-in-one-solutions.md): How to choose between different machine learning platforms? - [Data Management](https://fall2019.fullstackdeeplearning.com/course-content/data-management.md): The Data Phase of Your Machine Learning Workflow - [Overview](https://fall2019.fullstackdeeplearning.com/course-content/data-management/overview.md): Why is data management important? - [Sources](https://fall2019.fullstackdeeplearning.com/course-content/data-management/sources.md): Where do the training data come from? - [Labeling](https://fall2019.fullstackdeeplearning.com/course-content/data-management/labeling.md): What are effective ways to label your data? - [Storage](https://fall2019.fullstackdeeplearning.com/course-content/data-management/storage.md): What are appropriate ways to store your data? - [Versioning](https://fall2019.fullstackdeeplearning.com/course-content/data-management/versioning.md): What are the different levels of versioning your data? - [Processing](https://fall2019.fullstackdeeplearning.com/course-content/data-management/processing.md): What are efficient ways to process your data? - [Machine Learning Teams](https://fall2019.fullstackdeeplearning.com/course-content/ml-teams.md): How To Build Your Machine Learning Teams Effectively - [Overview](https://fall2019.fullstackdeeplearning.com/course-content/ml-teams/overview.md): Why is running a Machine Learning team hard? - [Roles](https://fall2019.fullstackdeeplearning.com/course-content/ml-teams/roles.md): What are the different roles inside a Machine Learning team? What skills are needed for each of them? - [Team Structure](https://fall2019.fullstackdeeplearning.com/course-content/ml-teams/team-structure.md): How to structure a Machine Learning team inside an organization? - [Managing Projects](https://fall2019.fullstackdeeplearning.com/course-content/ml-teams/managing-projects.md): How to manage machine learning projects properly? - [Hiring](https://fall2019.fullstackdeeplearning.com/course-content/ml-teams/hiring.md): How to source Machine Learning talent? How to interview Machine Learning candidates? How to find a job as a Machine Learning practitioner? - [Training and Debugging](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging.md): How To Troubleshoot Your Deep Learning Models - [Overview](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging/overview.md): Why is deep learning troubleshooting hard? - [Start Simple](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging/start-simple.md): How to start simple with deep learning models? - [Debug](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging/debug.md): How to implement and debug deep learning models? - [Evaluate](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging/evaluate.md): How to evaluate deep learning model? - [Improve](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging/improve.md): How to improve deep learning model? - [Tune](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging/tune.md): How to tune deep learning models? - [Conclusion](https://fall2019.fullstackdeeplearning.com/course-content/training-and-debugging/conclusion.md): What are the key takeaways to troubleshoot deep neural networks? - [Testing and Deployment](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment.md): The Testing and Deployment Phase of Your Machine Learning Workflow - [Project Structure](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment/project-structure.md): What are the different components of a machine learning system? - [ML Test Score](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment/ml-test-score.md): How can you test your machine learning system? - [CI / Testing](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment/ci-testing.md): What do testing and continuous integration mean? - [Docker](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment/docker.md): What is Docker? - [Web Deployment](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment/web-deployment.md): How to deploy your models to the web? - [Monitoring](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment/monitoring.md): How to monitor your machine learning system? - [Hardware/Mobile](https://fall2019.fullstackdeeplearning.com/course-content/testing-and-deployment/hardware-mobile.md): How to deploy your models to hardware and mobile devices? - [Research Areas](https://fall2019.fullstackdeeplearning.com/course-content/research-areas.md): Professor Pieter Abbeel covers state of the art deep learning methods that are just now becoming usable in production. - [Labs](https://fall2019.fullstackdeeplearning.com/course-content/labs.md): Course Project: Build and Deploy an End-to-End Deep Learning System - [Where to go next](https://fall2019.fullstackdeeplearning.com/course-content/where-to-go-next.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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