ai machine learning deep learning genai

ai.md

Gemma

• https://medium.com/google-cloud/making-ai-more-open-and-accessible-to-cloud-developers-with-gemma-on-vertex-ai-4b0fc2a14851

Courses (Free)

• msft
  • https://microsoft.github.io/AI-For-Beginners/
• goog
  • https://www.cloudskillsboost.google/paths/118
  • https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources
  • https://developers.google.com/machine-learning/crash-course/ml-intro
• https://www.linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity
• https://www.linkedin.com/learning/introduction-to-artificial-intelligence
• https://www.linkedin.com/learning/generative-ai-the-evolution-of-thoughtful-online-search/how-finding-and-sharing-information-online-has-evolved
• https://interestingengineering.com/7-great-free-online-courses-to-help-you-learn-about-ai-and-machine-learning
• Jose Gordon
• https://training.looker.com/

Udemy Paid courses

• https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/
• https://www.udemy.com/machinelearning/

k8s

• https://www.kubetools.io/kubernetes/top-5-machine-learning-tools-for-kubernetes/

Learning tips

• Machine Learning Zero to Hero (Google I/O'19)
• https://hackernoon.com/the-ultimate-skill-learning-how-to-learn-9e2fabdc7f1e
• https://towardsdatascience.com/@mrdbourke
• https://hackernoon.com/how-im-learning-deep-learning-in-2017-part-1-632f4187ce4c
• https://www.oreilly.com/ideas/data-engineers-vs-data-scientists
• http://veekaybee.github.io/2019/02/13/data-science-is-different/
• https://blogs.nvidia.com/blog/2018/08/02/supervised-unsupervised-learning/

Demo & labs

• https://github.com/sararob/
• https://github.com/sagecodes/intro-data-science
• https://codelabs.developers.google.com/codelabs/kubeflow-introduction/#0

github

• https://github.com/GoogleCloudPlatform/data-science-on-gcp
• https://github.com/GoogleCloudPlatform/ml-on-gcp
• https://github.com/GoogleCloudPlatform/cloudml-samples
• https://github.com/GoogleCloudPlatform/cloudml-dist-mnist-example
• https://github.com/sararob/automl-api-demo
• https://github.com/GoogleCloudPlatform?utf8=%E2%9C%93&q=cloudml&type=&language=

MLOps

• https://cloud.google.com/solutions/machine-learning/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning

Public data set

• https://gist.github.com/pydevops/69d54c211ad72ea8e319ef4862adad26

books

• http://dataintensive.net/
• https://github.com/GoogleCloudPlatform/data-science-on-gcp

data labeling

• https://medium.com/@cogitotech/what-are-the-dedicated-data-labeling-companies-for-ai-ml-and-benefits-of-outsourcing-to-them-fc0635a4f25