AI Algorithms Meta Guide


Notes:

Algorithm is defined as “a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer”. Machine learning is defined as computer systems that are able to learn and adapt without following instructions, using algorithms and statistical models to analyze and draw inferences from patterns in data. Deep learning is a subset of machine learning that uses algorithms in layers which create an artificial neural networks that can learn and make intelligent decisions.

  • NLP algorithms

Wikipedia:

References:

See also:

100 Best Artificial Intelligence Algorithm Videos100 Best Azure Machine Learning Videos100 Best Deep Learning Cloud Videos100 Best Deep Learning Tutorial Videos100 Best GitHub: Deep Learning100 Best Machine Learning Pipeline Videos100 Best Machine Learning Tutorial Videos100 Best Natural Language Deep Learning Videos | Automated Machine Learning & Dialog Systems 2019Classification Algorithms In Dialog Systems | Deep Learning & ChatbotsGenetic Algorithms & Dialog Systems 2018 | Machine Learning & Dialog Systems | Machine Learning as a Service (MLaaS) | Machine Learning Meta Guide | MALLET (MAchine Learning for LanguagE Toolkit) & Dialog Systems | Parsing Algorithms & Dialog Systems


10 Best Machine Learning Algorithms

1. Linear Regression

2. Logistic Regression

3. Decision Tree

4. SVM (Support Vector Machine)

5. Naive Bayes

6. KNN (K- Nearest Neighbors)

7. K-Means

8. Random Forest

9. Dimensionality Reduction Algorithms

10. Gradient Boosting & AdaBoost

08 Best Deep Learning Algorithms

1. Multilayer Perceptron Neural Network (MLPNN)

2. Backpropagation

3. Convolutional Neural Network (CNN)

4. Recurrent Neural Network (RNN)

5. Long Short-Term Memory (LSTM)

6. Generative Adversarial Network (GAN)

7. Restricted Boltzmann Machine (RBM)

8. Deep Belief Network (DBN)

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