IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e.,

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Pickl AI

NOVEMBER 4, 2024

Its flexibility allows you to produce high-quality graphs and charts, making it perfect for exploratory Data Analysis. Use cases for Matplotlib include creating line plots, histograms, scatter plots, and bar charts to represent data insights visually.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Becoming Human

MAY 15, 2023

In programming, You need to learn two types of language. One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database. Why do we need databases?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

JULY 17, 2023

The ability of unsupervised learning to discover similarities and differences in data makes it ideal for conducting exploratory data analysis. Unsupervised Learning Algorithms Unsupervised Learning Algorithms tend to perform more complex processing tasks in comparison to supervised learning.

Machine Learning 52

Machine Learning Machine Learning Clustering K-nearest Neighbors 52

DataRobot Blog

DECEMBER 15, 2022

Let’s run through the process and see exactly how you can go from data to predictions. supervised learning and time series regression). Prepare your data for Time Series Forecasting. Perform exploratory data analysis. When we choose ‘sales’ it’s immediately recognized as a regression problem.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

Pickl AI

JULY 12, 2024

Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52