A data science VP shares how Lazada uses machine learning for e-commerce, including automated review classification and product ranking.
A comprehensive overview of policy gradient algorithms in reinforcement learning, covering key concepts, notations, and various methods.
Exploring machine learning-driven bundling with Guess.js to optimize JavaScript chunk loading and improve SPA performance.
An introductory guide to Reinforcement Learning (RL), covering key concepts, algorithms like SARSA and Q-learning, and its role in AI breakthroughs.
Explains the difference between predictive analytics and machine learning, clarifying their relationship and distinct roles.
Explains the difference between predictive analytics and machine learning, clarifying their relationship in data analysis.
Explores the Multi-Armed Bandit problem, a classic dilemma balancing exploration and exploitation in decision-making algorithms.
A web developer shares their journey learning machine learning, applying JavaScript skills to a new domain and rediscovering math.
A personal reflection on the author's achievements in 2017, including travel, starting a club, and fitness goals, with a positive outlook for 2018.
A review and tips for the OMSCS CS7641 Machine Learning course, covering assignments, exams, and workload.
A guide to 10 high-level stages for successful machine learning projects, from defining business metrics to data transformation.
Learn how to identify predictive analytics questions using patterns and keywords like 'which', 'will', and 'likely'.
A guide to 10 high-level stages for completing a machine learning task, from defining business metrics to data transformation.
A tutorial on implementing a neural network in JavaScript using Google's deeplearn.js library to improve web accessibility by choosing font colors.
A guide to implementing logistic regression with gradient descent in JavaScript to solve classification problems.
A retrospective on the transformative impact of deep learning over the past five years, covering its rise, key applications, and future potential.
Explains the Normal Equation as an alternative to Gradient Descent for linear regression in JavaScript, including implementation.
A guide to implementing multivariate linear regression with gradient descent in JavaScript, including feature scaling.
A guide to implementing vectorized gradient descent in JavaScript for machine learning, improving efficiency over unvectorized approaches.
Explores methods to optimize the gradient descent algorithm in JavaScript, focusing on selecting the right learning rate for convergence.
