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From Machine Learning
- 11:02, 16 December 2019 Trusting Data Science and Machine Learning (hist | edit) [4,565 bytes] MachineLearning (talk | contribs) (Created page with "Public awareness of the need for trust and privacy is ever increasing, with regards to both the online and offline worlds (the latter becoming increasingly small!). === Rele...")
- 11:13, 9 December 2019 Neural Networks (hist | edit) [3,429 bytes] MachineLearning (talk | contribs) (Created page with "''' Feed-Forward vs Back-Propagation ''' A feed-forward neural network is one where the information only goes forwards in the network, never backwards. Back-propagation is a...")
- 11:16, 6 December 2019 Naïve Bayes classification (hist | edit) [1,944 bytes] MachineLearning (talk | contribs) (Created page with "Naïve-Bayes is a family of classification methods that are based on Bayes theorem. Bayes theorem describes the probability of event A occurring based on prior knowledge of ot...")
- 11:13, 6 December 2019 Clustering (hist | edit) [2,084 bytes] MachineLearning (talk | contribs) (Created page with "There is no criteria for a good clustering <ref>[https://www.geeksforgeeks.org/clustering-in-machine-learning Clustering in machine learning]</ref> . It depends on the on the...")
- 10:01, 6 December 2019 Support Vector Machines (hist | edit) [1,627 bytes] MachineLearning (talk | contribs) (Created page with "Support Vector Machines (SVM) work by finding an optimal hyperplane with maximum boundaries between datasets<ref>[https://www.linkedin.com/learning/applied-machine-learning-al...")
- 09:53, 6 December 2019 Decision Trees (hist | edit) [1,003 bytes] MachineLearning (talk | contribs) (Created page with "Decision trees are one of the simplest algorithms. As the name suggests, it branches out much like a tree, with the root node at the top. Decision tree models where the result...")
- 09:44, 6 December 2019 Logistic Regression (hist | edit) [2,174 bytes] MachineLearning (talk | contribs) (Created page with "Logistic regression is a linear method. Taking one or multiple input values (x), logistic regression models will provide one output value (y). The output value in logistic reg...")
- 09:18, 6 December 2019 Linear Regression (hist | edit) [2,124 bytes] MachineLearning (talk | contribs) (Created page with " The following image shows what a linear regression model could look like: frame|center Linear regression essentially aims to find the line of...")
- 12:08, 2 December 2019 Machine Learning in the Wind Industry (hist | edit) [4,994 bytes] MachineLearning (talk | contribs) (Created page with "The wind industry is developing interest in machine learning, particularly in regards to improving preventative and predictive maintenance. Most wind farms and most wind turbi...")
- 12:03, 2 December 2019 Resources (hist | edit) [1,426 bytes] MachineLearning (talk | contribs) (Created page with "The wiki has relevant links to definitions, examples and explanations where necessary, but there are endless other resources to help learn about and implement machine learning...")
- 11:50, 2 December 2019 Deciding on a method (hist | edit) [2,384 bytes] MachineLearning (talk | contribs) (Created page with "There is no one size fits all when it comes to algorithms in machine learning. The best method for a given problem is highly dependent on the desired goal and the type and qua...")
- 11:09, 2 December 2019 Information Theory (hist | edit) [2,773 bytes] MachineLearning (talk | contribs) (Created page with "<center>[https://www.techopedia.com/definition/13807/information-theory ''Information theory is a branch of mathematics that defines efficient and practical methods by which d...")
- 10:51, 2 December 2019 Confusion (or Error) matrices (hist | edit) [1,547 bytes] MachineLearning (talk | contribs) (Created page with "In machine learning, the model needs to learn from errors it makes. An example of how this is implemented is in online advertising – users are occasionally asked if the ads...")
- 10:11, 2 December 2019 Training, Validation and Testing datasets (hist | edit) [3,022 bytes] MachineLearning (talk | contribs) (Created page with "The purpose of validation and test datasets is to assess the skill and accuracy of a machine learning model once it has learned from the training dataset. [11] File:Dataset...")
- 11:59, 29 November 2019 Types of Machine Learning (hist | edit) [13,084 bytes] MachineLearning (talk | contribs) (Created page with "[https://www.datasciencecentral.com/profiles/blogs/10-machine-learning-methods-that-every-data-scientist-should-know This site] gives a good overview of 10 different machine l...")
- 11:49, 29 November 2019 Models and Algorithms (hist | edit) [1,095 bytes] MachineLearning (talk | contribs) (Created page with "== Algorithms == An algorithm is a mathematical technique or equation where the parameters have not been assigned values. It is a non-specific framework. <center> ''Example:...")
- 11:45, 29 November 2019 Parameters and Hyperparameters (hist | edit) [1,100 bytes] MachineLearning (talk | contribs) (Created page with "== Parameters == A parameter is internal to the model; they are required by the model when making predictions. Consider them the unknown variables of the equation. Model par...")
- 11:44, 29 November 2019 Terminology (hist | edit) [4,388 bytes] MachineLearning (talk | contribs) (Created page with "Refer to this section for any machine learning terms that may be confusing. There is a lot of very similar terms and language used in the field. The distinctions made in this...")
- 11:15, 29 November 2019 What is Machine Learning? (hist | edit) [4,972 bytes] MachineLearning (talk | contribs) (Created page with "Machine learning is how computers make predictions about future conditions or outcomes based on its learning experience with previously collected data. File:Family Guy meme...")
- 10:40, 29 November 2019 Main Page (hist | edit) [6,781 bytes] MachineLearning (talk | contribs) (This wiki is the online and hyperlinked version of a document I have compiled about machine learning. Hopefully the layout and search function is better than ctrl+f in a word document!)