How Would You Explain Machine Learning To 9 Years Old?
Author(s): Gencay I. Originally published on Towards AI. Explaining Machine Learning and Data Science for Young Minds This member-only story is on us. Upgrade to access all of Medium. Albert Einstein explaining universe to the kid— Generated with leonardo.ai — Simple Machine …
Taking Into Account Temporal Aspects of Machine Learning Apps
Author(s): Ori Abramovsky Originally published on Towards AI. Temporal features require special handling, from how to split the training population to the way to define the task at hand. In some cases, it can even mean overfitting on purpose. Photo by Eunice …
SUPPORT VECTOR MACHINES: PREDICTING FUTURE – CASE STUDY
Author(s): Data Science meets Cyber Security Originally published on Towards AI. CONTINUATION OF SUPERVISED LEARNING METHODS: PART-3 As previously promised in SUPPORT VECTOR MACHINE — 3RD PART OF SUPERVISED LEARNING METHODS, let’s talk about an amazing case study to analyze and comprehend …
Machine Learning Project in Python Step-By-Step — Predicting Employee Attrition
Author(s): Fares Sayah Originally published on Towards AI. AI for Human Resources: Predict attrition of your valuable employees using Machine Learning Photo by Marvin Meyer on Unsplash Human Resources & AI An organization’s human resources (HR) function deals with the most valuable …
Why not Linear Regression?
Author(s): Akash Dawari Originally published on Towards AI. All About Logistic Regression In this article we will understand Logistic Regression and try to answer the following questions: What is Logistic Regression? Why not Linear Regression? Why Logistic Regression? When Logistic Regression? How …
Gradient Descent v/s Normal Equation For Regression Problems
Author(s): Pushkara Sharma Originally published on Towards AI. Machine Learning Choosing the right algorithm to find the parameters that minimize the cost function Gradient Descent v/s Normal Equation In this article, we will see the actual difference between gradient descent and the …
Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
Bias-Variance Tradeoff Illustration Using Pylab
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the …
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