Machine Learning For Kids: Python Variables
Why it matters: Machine learning for kids: Python variables tutorial is specifically designed with students in grades 6 through 10 in mind.
Sanksshep Mahendra
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
Machine Learning for Kids: Your First Program in Python
Why it matters: Machine learning for kids: Your first program in python tutorial is specifically designed with students in grades 6 through 10 in mind.
Machine Learning for Kids: Installing Python
Why it matters: Machine learning for kids: This Python installation tutorial is specifically designed with students in grades 6 through 10 in mind.
A guide on reinforcement learning with human feedback
Why it matters: Reinforcement Learning with Human Feedback (RLHF) offers a fresh avenue for training machines to solve complex tasks where reward functions are challenging to define.
A Comprehensive Guide to Understanding and Implementing Instance Segmentation
Why it matters: Instance segmentation is a computer vision task that classifies and identifies individual objects within an image, differentiating even between objects of the same class.
Decoding IPL Cricket Matches with Predictive Modeling
Why it matters: Decoding IPL cricket matches with predictive modeling is an interesting exercise. Here we try to decode the game based on past data available.
What is Data Augmentation and How is it Used in Machine Learning?
Why it matters: Data augmentation involves creating new data by modifying existing samples, enhancing model training robustness and accuracy.
What is an End Effector In Robotics?
Why it matters: An end effector in robotics is the device at the end of a robotic arm designed to interact with the environment.
30 Exciting Computer Visions Applications in 2023
Why it matters: Computer vision systems and applications are taking things one step further with the addition of artificial intelligence (AI) and machine learning algorithms.
Multinomial Logistic Regression
Why it matters: Multinomial Logistic Regression is a statistical technique used for predicting outcomes of a categorical dependent variable with multiple categories.