Artificial Intelligence
Showing 721–732 of 804 results
Solve real problems with LLMs: Create a Customer Support App
Learn to solve real-world problems by building a customer support app using Large Language Models (LLMs). Discover how to enhance user interactions and automate customer service tasks with AI.
Solving the Traveling Salesperson Problem in Python
This course will teach you how to handle geospatial data and find the shortest possible route between coordinates by car using Python.
Sprachassistent mit Python auf Deutsch – Alexa Klon
Baue Schritt für Schritt Deinen eigenen Sprachassistenten mit Python
StanfordOnline: Semantics of First-Order Logic
First-order logic is a restricted, formalized language which is particularly suited to the precise expression of ideas. The language has uses in many disciplines including computer science, mathematics, linguistics and artificial intelligence.
Statistics.comX: Applied Data Science Ethics
AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and discrimination. Often these harms occur in machine learning projects that have the best of goals, developed by data scientists with good intentions. This course, the second in the data science ethics program for both practitioners and managers, provides guidance and practical tools to build better models and avoid these problems.
Statistics.comX: MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production using Amazon Web Services.
Statistics.comX: MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (Azure) - Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
Statistics.comX: MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform
Statistics.comX: Predictive Analytics: Basic Modeling Techniques
What is Predictive Analytics? These methods lie behind the most transformative technologies of the last decade, that go under the more general name Artificial Intelligence or AI. In this course, the focus is on the skills that will allow you to fit a model to data, and measure how well it performs. We will be doing enough data science so that you get hands-on familiarity with understanding a dataset, fitting a model to it, and generating predictions.
Statistics.comX: Principles of Data Science Ethics
Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics.
Streamline Data Queries with LangChain
This course will teach you LangChain query essentials, optimizing performance for swift data retrieval, advanced techniques like nested queries, joins, and troubleshooting strategies.
Streamline Resume Creation with Generative AI Case Study
Use generative AI to create a custom resume, tailor-made to a specific job application that includes relevant keywords for improved discoverability.