Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

How to Learn Machine Learning

DECEMBER 15, 2024

Course Highlights: Detailed exploration of supervised and unsupervised learning In-depth coverage of linear regression, logistic regression, and neural networks Advanced topics including support vector machines and anomaly detection Practical implementation using MATLAB/Octave Insights into machine learning best practices and optimization techniques (..)

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Becoming Human

MARCH 16, 2023

These branches include supervised and unsupervised learning, as well as reinforcement learning, and within each, there are various algorithmic techniques that are used to achieve specific goals, such as linear regression, neural networks, and support vector machines. A combination of factors is driving this trend.

AI 139

AI AI Deep Learning Deep Learning 139

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Machine Learning 82

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

Pickl AI

AUGUST 1, 2023

Machine Learning algorithms, including Naive Bayes, Support Vector Machines (SVM), and deep learning models, are commonly used for text classification. Gather a dataset of customer support tickets with different categories, such as billing, technical issues, or product inquiries. What is a text mining algorithm?

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Pickl AI

JANUARY 29, 2024

Key Components In Data Science, key components include data cleaning, Exploratory Data Analysis, and model building using statistical techniques. ML focuses on algorithms like decision trees, neural networks, and support vector machines for pattern recognition. billion in 2023 to an impressive $225.91

Data Science 52

Data Science ML ML Machine Learning 52