Agile Machine Learning

Machine Learning Research

Agile Project Methodology

  • Client Collaboration
  • Business Goals
  • Incremental Steps
  • Iterative Process
  • Adaptive Approach
  • Cloud Project Tools
Development Phases

  1. Requirements
    • Use Case
    • Data
    • Features
    • Inference/Prediction
  2. MLOps
    • Standardize
    • Automate
    • Data Repository
    • Software Repository
    • ML Artifact Repository
    • Model Registry
    • Continuous Integration
      • Build, Train, Test, Tune
      • Deploy, Monitor, Measure, Optimize
  3. Data Pipeline
    • Identify, Acquire, Persist
    • Analyze, Filter, Format, Convert, Transform
    • Scale, Normalize, Standardize, Validate
  4. Analytics
    • Feature Engineering
    • Datasets
    • Modeling
      • Statistical Analysis
      • Regression Analysis
      • Forecasting
      • Machine Learning
        • Supervised
        • Unsupervised
      • Deep Learning
        • Artificial Neural Networks
        • Reinforced Learning
  5. Deployment
    • Infrastructure
      • Inference Endpoint
      • Containerization
      • Local
      • Cloud
    • Framework
      • TensorFlow
      • PyTorch
      • scikit-learn
    • Platforms
      • AWS
      • Azure
      • GCP
  6. Integration
    • Endpoint Service
    • REST API
    • Web Service
    • Micro Service
    • User Interface
More on Machine Learning (2460)

Top weighted terms correlating to ‘machine learning’. (2460)
machine learning1476.21.
applications of artificial intelligence916.4.
artificial intelligence in finance916.4.8.
ai applications916.40.
quantum machine learning646.21.37.
glossary of artificial intelligence606.18.
machine learning in earth sciences596.21.33.2.
general adversarial network546.15.2.22.
adversarial machine learning546.21.2.
machine learning in bioinformatics546.21.26.
list of datasets for machine learning research531.
artificial intelligence in healthcare396.7.
thomas g. dietterich331.
explainable artificial intelligence326.
interpretable artificial intelligence316.
explainable ai306.129.
ai control problem286.37.
learning classifier system276.21.21.
algorithmic bias276.21.3.
machine learning in physics246.21.27.
bayesian model averaging231.10.1.22.
ensemble methods231.9.2.21.
ensembles of classifiers236.18.50.
ensemble learning236.21.11.
stacked generalization236.21.33.41.
knowledge mining222.
federated learning226.
information mining226.13.111.
web usage mining226.21.73.
data mining226.21.9.5.
web mining226.
knowledge discovery in databases226.22.8.1.
list of machine learning algorithms211.2.5.594.
list of machine learning concepts216.13.2.68.
outline of machine learning216.21.33.
isabelle guyon216.21.42.1.
machine learning algorithms216.8.73.
artificial neural networks201.10.2.57.
neural nets202.7.1.53.
artificial neural network206.13.2.
neural computing206.
stochastic neural network206.
ai software206.
neural network model206.14.3.9.
neural net206.17.53.
neural network models206.26.7.1.
cognitive system206.5.13.23.
artificially intelligent206.6.2.16.
receiver operating characteristic191.
andrew ng191.
roc curve191.
machine thought192.
artificial intelligence196.
deep learning196.13.
ai research196.13.12.12.
michael i. jordan196.13.17.17.
deep neural network196.13.29.
deep neural networks196.
ryszard s. michalski196.18.20.
kernel embedding of distributions196.21.33.264.
applications of deep learning196.4.127.
ai safety196.5.13.1.
tensor machine learning186.21.43.
geoff webb171.
reward function176.1.5.5.
generative adversarial networks176.1.6.5.
deepmind technologies176.13.103.
reinforcement learning176.13.2.21.
google deepmind176.13.6.
generative adversarial network176.21.16.
vasant honavar176.21.33.92.
inverse reinforcement learning176.
sub symbolic166.124.
australian institute for machine learning166.
symbolic artificial intelligence166.13.15.
data stream mining166.18.82.
variable selection166.21.26.14.
feature selection166.21.6.2.
symbolic ai166.45.
computational economics151.6.18.
reward modeling156.
convolutional neural network156.13.2.6.
stochastic gradient descent156.21.30.1.
ai alignment156.
control problem156.
reward hacking156.
phi coefficient141.2.7.34.
multi task learning141.8.384.
google cloud platform144.4.1.2.
support vector machines145.4.1.45.
max pooling146.
convolutional neural networks146.13.20.
hyperparameter optimization146.21.19.1.
matthews correlation coefficient146.21.33.295.
Terms correlating to ‘machine learning’ exceed 100 (2460).
Results limited to top 100 weighted terms.

I'd argue that the MIT group's release of white papers on AI governance is merely a public relations stunt to appease the masses, and doesn't truly address the underlying issues with AI development. These papers are likely crafted by academics more interested in padding their CVs than actually driving meaningful change, and will ultimately fail to provide actionable insights or spark real innovation.

Published 2021-11-04 02:39.00

Updated 2024-05-19 10:52:59