phData

AUGUST 24, 2023

What Does a Credit Score or Decisioning ML Pipeline Look Like? Now that we have a firm grasp on the underlying business case, we will now define a machine learning pipeline in the context of credit models. The model learns from these labels to predict the outcome of new, unseen data. Want to learn more?

ML 52

ML ML Machine Learning Machine Learning 52

Pickl AI

MAY 31, 2023

Python is one of the widely used programming languages in the world having its own significance and benefits. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. Let’s dig deeper and learn more about them!

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. Let’s dig deeper and learn more about them!

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Mlearning.ai

APRIL 13, 2023

Before we discuss the above related to kernels in machine learning, let’s first go over a few basic concepts: Support Vector Machine , S upport Vectors and Linearly vs. Non-linearly Separable Data. Support-vector networks. It is particularly useful for datasets with complex patterns.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Support Vector Machines 52

IBM Journey to AI blog

JULY 6, 2023

What is machine learning? Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app.

Machine Learning 55

Machine Learning Machine Learning Data Science Big Data 55

Dataconomy

MARCH 13, 2023

There are several types of AI algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Python provides a range of libraries and frameworks that make it easier to develop AI models. The quality and quantity of data are crucial for the success of an AI system.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98