NYU Center for Data Science

MARCH 23, 2023

The AI, Misinformation, and Policy Seminar Series (AMPol) at the Center for Data Science explores this critical research area, featuring speakers working in the intersecting fields of data science, machine learning, and misinformation. To access the lecture slides, please visit Emily Saltz Lecture Slides. by Meryl Phair

Data Science 70

Data Science AI AI Artificial Intelligence 70

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

Machine Learning 103

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 103

Smart Data Collective

MARCH 9, 2023

As attackers use more self-learning algorithms to penetrate networks, static security postures have become obsolete. This method is in direct contrast to the typical security training program that relies on lectures or seminars delivered by security experts. So, what should companies do?

AI 88

AI AI Algorithm Artificial Intelligence 88

Smart Data Collective

AUGUST 24, 2022

Palakurla writes that random forest algorithms appear to be highly effective at gauging future cryptocurrency prices. Predictive analytics models with these algorithms can be useful for forecasting future bitcoin prices. These predictive analytics algorithms must evaluate events on a global scale, rather than those related to Albania.

Predictive Analytics 113

Predictive Analytics Analytics Analytics Algorithm 113

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Whereas in machine learning, the algorithm understands the data and creates the logic. Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. Where to start? Reinforcement.

Data Science 105

Data Science Exploratory Data Analysis Machine Learning Machine Learning 105

Pickl AI

FEBRUARY 27, 2024

By harnessing the power of advanced analytics and machine learning algorithms, Financial Analysts can uncover hidden patterns, predict market trends, and identify lucrative opportunities with greater precision. Network and relationship building Attend industry conferences, seminars, and networking events to expand your professional contacts.

Data Visualization 52

Data Visualization SQL Data Analyst Data Analysis 52

Heartbeat

JULY 11, 2023

It entails creating and using algorithms and methods to provide computers with the ability to recognize, decipher, and produce human language in a natural and meaningful manner. It entails employing algorithms and techniques to process and extract meaning from human language. Innovation and academia go hand-in-hand. articles, videos).

Natural Language Processing 40

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 40