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Artificial intelligence and Organizations
Artificial intelligence and organizations are not always a great fit. While many organizations use artificial intelligence to answer specific questions…
Doug Rose
118 posts
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Fine-Tuning Neural Networks for Deep Learning
You've already seen that an artificial neural network can use backpropogation to help it adjust itself when the…
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Backpropagation in Artificial Neural Networks
An artificial neural network requires several components to drive its learning, including:
* Artificial neurons: Commonly referred to as "nodes,…
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Gradient Descent in Artificial Neural Networks
Machine learning requires the use of a cost function along with gradient descent. As the machine learns to perform a…
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A Deep Dive into Ensemble Models
There are several commonly used machine learning algorithms and it's difficult to choose the right one based on…
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Artificial Neural Network Weights and Bias
Artificial neural networks learn through a combination of functions, weights, and biases. Each artificial neuron receives weighted inputs from the…
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How to Fit a Model to the Data
Machine learning needs data, and sometimes lots of it, especially in the initial training data. Just as people need data…
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Essential Dos and Don'ts of Machine Learning
I have worked with several organizations over the years helping them implement machine learning (ML), often after failed attempts to…
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Different Machine Learning Algorithms
Some of the most popular machine learning algorithms are:
* Decision trees
* K-nearest neighbor
* K-means clustering
* Regression analysis
* Naïve Bayes
These…
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Machine Learning Algorithms
There are four common approaches to machine learning:
* Supervised learning
* Unsupervised learning
* Semi-supervised learning
* Reinforcement learning
Within these different approaches,…
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The Impact of Artificial Intelligence in Business
Machine learning plays a key role in artificial intelligence. Machines can be fed large volumes of data and, through supervised…
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Choosing the Right Machine Learning Algorithm
You have data, and you have questions to answer and problems to solve. How do you go about using your…