# ProductizeML

## ProductizeML

- [ProductizeML](https://docs.productizeml.com/productize-ml/readme.md): A self-study guide for teams building Artificial Intelligence and Machine Learning products.
- [Objectives](https://docs.productizeml.com/productize-ml/introduction/objectives.md)
- [About the Course](https://docs.productizeml.com/productize-ml/introduction/about-the-course.md)
- [Guidelines](https://docs.productizeml.com/productize-ml/introduction/guidelines.md)
- [Syllabus](https://docs.productizeml.com/productize-ml/introduction/untitled.md)
- [After Completion](https://docs.productizeml.com/productize-ml/introduction/after-completion.md)
- [Why ML, and why now](https://docs.productizeml.com/productize-ml/machine-learning/why-ml-and-why-now.md): Reasons behind the raise of AI in the industry.
- [Supervised Learning](https://docs.productizeml.com/productize-ml/machine-learning/supervised-learning.md): You will learn: most-used supervised learning algorithms such as linear regression, logistic regression, SVM, and decision trees.
- [Unsupervised Learning](https://docs.productizeml.com/productize-ml/machine-learning/unsupervised-learning.md): You will learn: most-used unsupervised learning methods such as clustering and dimensionality reduction algorithms.
- [Deep Learning](https://docs.productizeml.com/productize-ml/machine-learning/deep-learning.md): You will learn: why deep learning is considered on of the pioneer ML types and its fundamentals.
- [ML Terminology](https://docs.productizeml.com/productize-ml/machine-learning/ml-terminology.md): You will learn: basic concepts and terms used in the AI/ML community.
- [Data Access](https://docs.productizeml.com/productize-ml/data-management/untitled.md): You will learn: ways of accessing and sources of data.
- [Data Collection](https://docs.productizeml.com/productize-ml/data-management/data-collection.md): You will learn: ways of collecting data.
- [Data Curation](https://docs.productizeml.com/productize-ml/data-management/data-curation.md): You will learn: recommended methods to curate your data.
- [Framework and Hardware](https://docs.productizeml.com/productize-ml/train-and-evaluate/untitled.md): You will learn: most-used framework and hardware for AI and ML applications.
- [Training Neural Networks](https://docs.productizeml.com/productize-ml/train-and-evaluate/training-neural-networks.md): You will learn: best practices to train neural networks.
- [Model Evaluation](https://docs.productizeml.com/productize-ml/train-and-evaluate/model-evaluation.md): You will learn: how to assess to evaluation of ML models.
- [ML Life Cycle](https://docs.productizeml.com/productize-ml/productize-it/ml-lifecycle.md): You will learn: the end-to-end process to develop an ML product.
- [Business Objectives](https://docs.productizeml.com/productize-ml/productize-it/business-objectives.md): You will learn: how to define your product KPI(s).
- [Data Preparation](https://docs.productizeml.com/productize-ml/productize-it/data-preparation.md): You will learn: (mandatory) data checks to perform before developing your model solution.
- [Model Development](https://docs.productizeml.com/productize-ml/productize-it/model-development.md): You will learn: how to reuse existing solutions that can be adapted to your problem.
- [Train, Evaluate, and Deploy](https://docs.productizeml.com/productize-ml/productize-it/train-evaluate-deploy.md)
- [A/B Testing](https://docs.productizeml.com/productize-ml/productize-it/a-b-testing.md): You will learn: an effective way to monitor and measure your solution via A/B testing.
- [KPI Evaluation](https://docs.productizeml.com/productize-ml/productize-it/kpi-evaluation.md): You will learn: how to effectively iterate over your launched product.
- [PM Terminology](https://docs.productizeml.com/productize-ml/productize-it/pm-terminology.md): You will learn: commonly used product management terminology.
- [Readings](https://docs.productizeml.com/productize-ml/resources/readings.md)
- [Courses](https://docs.productizeml.com/productize-ml/resources/courses.md)
- [Videos](https://docs.productizeml.com/productize-ml/resources/videos.md)
- [Python for Machine Learning](https://docs.productizeml.com/productize-ml/hands-on/python-ml.md): Why Python for Machine Learning?
- [Python Installation](https://docs.productizeml.com/productize-ml/hands-on/python-ml/python-installation.md): How to install Python on your OS
- [MacOS](https://docs.productizeml.com/productize-ml/hands-on/python-ml/python-installation/python_macos.md): Install Python in MacOS systems
- [Linux](https://docs.productizeml.com/productize-ml/hands-on/python-ml/python-installation/python_linux.md): Install Python in Linux OS systems