| Reference_description_with_linked_URLs_________________________ | Notes_________________________________________________________ |
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| http://ciml.info/ | Machine Learning overview focused on algorithms for different problem types |
| Math Foundations for AI ML |
| Statistics Foundations for AI ML |
http://ciml.info/ https://github.com/hal3/ciml/ | ML Course 1 |
https://www.datacamp.com/courses/preparing-for-statistics-interview-
questions-in-python?fbclid=IwAR29QSzZqoJEaarVtOoSRimPGOFbPbVYGLQ3
j2nyqt4PZ74AmkcJqILip94 | Interview questions for statistics in python |
| https://courses.edx.org/dashboard | edX courses for ML |
| https://thenextweb.com/podium/2019/11/11/machine-learning-algorithms-and-the-art-of-hyperparameter-selection/ | ML Algorithm concepts |
| https://www.linkedin.com/feed/update/urn:li:activity:6617271768493191168/ | ML Intro Concepts links - Linkedin |
| Guide_to_Open_Source_AI.pdf | Guide_to_Open_Source_AI.pdf |
| machine-learning-for-dummies-w_wile255.pdf | machine-learning-for-dummies-w_wile255.pdf |
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| ML use cases |
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| The Big Book of Data Science Use Cases.pdf | The Big Book of Data Science Use Cases.pdf |
| https://www.gartner.com/smarterwithgartner/top-3-benefits-of-ai-projects/ | Gartner - 3 key AI benefits |
| https://alyce.ai/application/files/7615/6933/9987/ALYCE_Survey_.pdf | Alyce.AI - object computing survey with use cases |
| AI_2019-news-from-the-batch-includes-AV-info-jmason.pdf | AI status - 2019 - The Batch |
https://www.forbes.com/sites/janakirammsv/2019/01/01/an-executives-guide-to-
understanding-cloud-
based-machine-learning-services/#6e7c6c043e3e | Forbes - overview of cloud machine learning services |
https://hbr.org/2020/10/a-practical-guide-to-building-ethical-ai Practical Guide to Building Ethical AI ** HBR pdf | Practical Guide to Building Ethical AI ** HBR |
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| Machine Learning Basics |
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https://www.quantinsti.com/blog/machine-learning-basics | Machine Learning Basics |
https://www.techrepublic.com/article/machine-learning-the-smart-persons-guide/ | Executive summary 1 on ML |
https://lfdl.io/projects/ | Linux Foundation Open AI Deep Learning Solutions |
http://ciml.info/ | Machine Learning Math Course free *** |
| https://www.udemy.com/hands-on-introduction-to-artificial-intelligenceai/learn/lecture/12130906#overview | Udemy free ML course ** |
file:///C:/Users/Jim%20Mason/Google%20Drive/_docs/howto/data/mlearn/Guide_to_Open_Source_AI.pdf | Linux F Guide to OS AI frameworks - good starting point |
https://objectcomputing.com/files/5715/6095/8662/Slide_Deck_Groovy_for_Data_Science_Webinar.pdf | Groovy for Data Science |
| http://glaforge.appspot.com/article/machine-learning-apis-with-apache-groovy | ML apis from Groovy ( Java ) integrating Google AI - ML services ** |
| machine-learning-with-python-v2-2024.pdf. link | machine-learning-with-python-v2-2024 ** |
https://www.datacamp.com/community/tutorials/finance-python-trading?fbclid=IwAR1n33gRfaNvZv02RR5wCrSNkS4RqxJQqipBG
QuqMyWc6_akSPQ2hAkFp6c | DataCamp course - Python for Algorithmic Trading |
https://www.datasciencecentral.com/profiles/blogs/new-books-and-resources-for-dsc-members | datasciencecentral.com free ebooks |
https://www.slideshare.net/carologic/ai-and-machine-learning-demystified-by-carol-smith-at-midwest-ux-2017 https://drive.google.com/open?id=1oa3bMB6KHDbo6ftgZMWSfnj8FpwQWCrm | AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017 |
| https://drive.google.com/open?id=1sPBXhjtvEt54BlyAcW_Mz1PMETzCTLdv | machine learning for dummies ebook |
https://d2wvfoqc9gyqzf.cloudfront.net/content/uploads/2018/09/Ng-MLY01-13.pdf https://drive.google.com/open?id=1wDgmF9V3A7zeBXslgmRube2_cQ0XzxrM | Deep Learning Strategies and Project mgt - Andrew Ng |
| https://drive.google.com/open?id=1H3ivxDSLUxsw2CQAXUhdyzMPGZdnAj6j | Python Tensorflow Tutorial - datacamp 2018 |
| python-tensorflow-tutorial1-datacamp-Convolutional Neural Networks with TensorFlow | python-tensorflow-tutorial1-datacamp-Convolutional Neural Networks with TensorFlow |
https://www.datacamp.com/community/tutorials/cnn-tensorflow-python https://drive.google.com/open?id=1H3ivxDSLUxsw2CQAXUhdyzMPGZdnAj6j | Tutorial: Tensorflow neural network example in Python: Datacamp |
https://www.datacamp.com/community/tutorials/tensorflow-tutorial https://drive.google.com/open?id=1pC1805LpYe4el3mCT7qw0wzqV-vP3sv4 | Tutorial: Tensorflow basics : Datacamp |
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| https://drive.google.com/open?id=1b2bh7XJ_MkVG0C1kx7IITOqK0XfFh8WK | Containers for ML workloads |
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| billable courses |
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| https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ | Python ML covers Python basics - $12 - RECOMMENDED first course |
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| https://university.cloudera.com/instructor-led-training/cloudera-data-scientist-training | Cloudera - $3200 - 4 days - pyspark - sparklr - spark2 env |
| https://www.udemy.com/course/pytorch-for-deep-learning-with-python-bootcamp/ | Pytorch bootcamp - Udemy - $12 - sharp focus on Pytorch -requires Python |
| https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ | Python ML covers Python basics - $12 |
| https://www.udemy.com/course/the-complete-neural-networks-bootcamp-theory-applications/ | Complete Neural Networks bootcamp - $12 - more ML models, examples - requires Python, math |
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Google ML |
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| GCP platform - free account |
https://www.kaggle.com/ | Google Kaggle - free ML test account |
https://www.kaggle.com/learn/overview | Kaggle learning resources |
https://techcrunch.com/2019/06/24/google-brings-together-bigquery-and-
kaggle-in-new-integration/?yptr=yahoo | Link Kaggle notebook to BigQuery results |
https://www.datacamp.com/community/blog/keras-cheat-sheet?fbclid=IwAR2x0PgQEjsALKSIrlC_ZkADzXgqUyG9dJ_zAeh7h1c
VFrQQzcEjRxtWB98 | Keras cheat sheet |
| https://keras.io/ | Keras Basics |
| https://drive.google.com/open?id=1Y5jf0CLBlhieO85Er0n8bsYnScnXEIvG | Tf.keras - tensor flow Keras gen 2 |
https://medium.com/sciforce/understanding-tensor-processing-units-10ff41f50e78 https://drive.google.com/open?id=1lFzNJcXvyuD41vkB1K_Gkftgz9o4DHaJ | Tensorflow concepts |
https://cloud.google.com/blog/products/gcp/understanding-neural-networks-with-tensorflow-playground https://drive.google.com/open?id=13_fj-IB2jwKIdBHquGm43gpYq4GhsCnl | Tensorflow exampe overview - playground - 2015 |
| Tensorflow Tutorial |
| https://cloud.google.com/tpu/ | Google TPU AI processor overview |
| https://drive.google.com/open?id=1UWwyoHEJZi1f6mQo3SvpxgQz8WBDjuIm | AI hardware- GPU or TPU? |
| https://cloud.google.com/products/ai/building-blocks/ | Google AI building blocks |
| https://cloud.google.com/automl/ | Google auto translation bots |
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| MLFlow - Linux Foundation - open source platform for the machine learning lifecycle | open source platform for the machine learning lifecycle |
| https://mlflow.org | MLFlow |
https://mlflow.org/#:~:text=MLflow%20is%20an%20open%20source,
and%20a%20central%20model%20registry. | MLFlow model registry |
| https://databricks.com/blog/2018/06/05/introducing-mlflow-an-open-source-machine-learning-platform.html | Overview |
| https://mlflow.org/docs/latest/quickstart.html | Quickstart |
| https://towardsdatascience.com/getting-started-with-mlflow-52eff8c09c61 | Getting Started article |
| https://github.com/mlflow/mlflow | MLFlow on github |
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| AWS ML |
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https://aws.amazon.com/machine-learning/e-guide/?trk=FB_AI_DeepLens_eGuide_v3&sc
_channel=PSM&sc_campaign=field&sc_publisher=
FB&sc_category=DeepLens&sc_country=US&sc_geo=NAMER&sc_outcome=aware&sc_
medium=FIELD-P%7CFB%7CSocial-P%7CAll%7CAW%7CMachine+Learning%7CDeepLens%7CUS%7CEN%7CImage&fbclid=
IwAR2h6I83BZsUuK0quB2bgT1uz6ux229cEDCQtlNpLwNQfvgpSybvuskc5p4 | Business View of AI services on AWS |
| ML Training |
| https://aws.amazon.com/machine-learning/ | ML Overview |
| ML Apps, Services |
| ML Sagemaker - Deep Learning Utility |
| ML Tools - Keras, Tensorflow, Kubeflow |
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| Azure ML |
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| IBM ML |
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https://www.ibm.com/cloud/watson-studio/resources?cm_mmc=PSocial_Linkedin-_-Hybrid Cloud_
Data Science-_-WW_NA-_-1074735077_Tracking Pixel&cm_mmca1=000000RE&cm_mmca2=10009788&cm_mmca4=1074735077&cm_mmca5=
1078561140&cm_mmca6=d3617d3d-e5a9-4451-ba40-18c00fc18384 | ibm watson free access, ar |
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| Facebook ML |
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https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/ | ML Recommendation Mgr open sourced |
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| ML Tutorials |
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https://github.com/cloud-annotations/training https://www.linkedin.com/feed/update/urn:li:activity:6496499508409561088 | real-time image object recognition customizable in your browser with TensorFlow.js and Python demo real-time image recognition |
https://rasa.com/ https://rasa.com/docs/ | open source framework to build smart chatbots in python w RNN, NLU, NLP |
| http://ciml.info/ | Machine Learning overview focused on algorithms for different problem types |
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| Data Science Tools |
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https://drive.google.com/drive/u/0/folders/1e5WecKq_87ahkcL3UM7EdOz73qviLyhW https://objectcomputing.com/files/5715/6095/8662/Slide_Deck_Groovy_for_Data_Science_Webinar.pdf | Groovy Data Science - Paul King - OCI |
| https://campus.datacamp.com/courses/building-chatbots-in-python/chatbots-101?ex=1 | DataCamp - Python Chatbots course |
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| https://www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html | Cloudera DS workbench |
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Other ML providers and services |
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| https://www.h2o.ai/products/h2o-driverless-ai/ | H2O AI services - platform with consulting services |
https://rasa.com/ https://github.com/RasaHQ/rasa | Rasa - open-source smart assistant framework for chatbots see Smart Assistant Integration for more on bulding assistants for NLP domains |
| https://www.nextplatform.com/2019/03/05/one-step-closer-to-deep-learning-on-neuromorphic-hardware/ | Deep Learning neural networks have a software training environment ( Whetstone ) that can work on multiple neural network platforms when ported. Efficient, mimics human neuron behavior. Goal of this work to be able to leverage standard deep learning technologies to produce inferencing software capable of running in a much lower power envelope when deployed. |
| https://www.sage.com/en-us/blog/wp-content/uploads/sites/2/2018/09/Artificial_Intelligence_In_2019_Sage_Handbook.pdf | AI business concepts handbook |
| https://www.forbes.com/insights-intelai/ | Very good series of articles on AI impacts across many industries including AI concepts as well |
| https://blockchain.ieee.org/technicalbriefs/march-2019/towards-advanced-artificial-intelligence-using-blockchain-technologies | AI and blockchain together article |
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AI Regulation Concepts |
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EUBOF on convergence of AI and Blockchain report - 2021 url EUBOF on convergence of AI and Blockchain meeting recording |
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| EU Regulatory Framework Proposal on AI - 2021 url |
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EU AI Regulatory Concepts today - 2022 url EU AI Regulatory Concepts today - 2022 url.pdf file |
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US AI Bill of Rights Proposal 2022 url US-2022-Blueprint-for-an-AI-Bill-of-Rights.pdf file |
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UK AI Regulation Approach doc - 2022 url UK-AI-regulation-approach-2022-faegredrinker.com-AI Regulation in the UK New Government Approach.pdf file | U.K. Government intends to “regulate the use of AI rather than the technology itself,” |
| UK establishing an approach to regulating AI - 2022 url |
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| UK on EU AI regulations as risky 2022 url |
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| ai-governance-for-citiies-2023-UN-MILA.pdf. link |
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| AI-goverenance-2021-The_ghost_of_AI_governance_past_present_and_future.pdf file |
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| EU AI Regulation flawed - 2022 article |
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G7 2023 Statement on AI Governance. url G7 2023 Statement on AI Governance. linkj |
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