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Introducing the AI, Misinformation, and Policy Seminar Series

NYU Center for Data Science

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

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

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.

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How can Financial Analysts start leveraging data skills?

Pickl AI

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.

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NLP Landscape: France

NLP People

You can also find seminars , conferences and potential job opportunities listed. Their website is a massive resource of information including Seminars , Tutorials , Research , Publications and Jobs. Visit their website for contact details and their events schedule. And, sometimes they’re hiring.

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The Ultimate Guide to LLMs and NLP for Content Marketing

Heartbeat

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).

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How to become a Statistician without a Degree?

Pickl AI

Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. Networking: Attend conferences, seminars, and workshops related to statistics and data analysis. Clean and preprocess data to ensure its quality and reliability.

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Free eBooks on Artificial Intelligence to read in 2023

Dlabs.ai

It explains how to make machine learning algorithms work. A Brief Introduction to Neural Networks Author: David Kriesel David Kriesel initially wrote this book for a seminar at the University of Bonn in Germany. His online courses were attended by over 2.5 million students from all over the world.