Cursussen
18910 Cursussen
AI TIME:ICML 2021-3
Explore cutting-edge AI research and developments presented at ICML 2021, covering machine learning advances, methodologies, and real-world applications.
AI TIME:ICML 2021-4
Explore cutting-edge AI research and developments presented at ICML 2021, focusing on machine learning advancements, neural networks, and emerging technologies.
Data Analysis of Electronic Commerce
Master data analysis techniques for e-commerce through hands-on practice with customer, product, and financial data. Learn to clean, process, and visualize information for creating professional business reports.
Tableau & Tableau Prep for Data Preparation & Visualization
Covers both Tableau and Tableau Prep, visualize & prep your data with ease with hands-on Tableau & Tableau Prep training
Data Analysis | SQL,Tableau,Power BI & Excel | Real Projects
4-in-1 bundle: Practical learning of the essential tools used in Data Science with hands on examples and projects
AI Supply Chain Security - Inventing Backward and Forward
Explore emerging AI supply chain security threats and defensive strategies, focusing on CI/CD pipelines and creative approaches to protect AI-enabled features in modern software systems.
Complete Data Analyst Bootcamp From Basics To Advanced
Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server,Snowflake,AWS
Connecting the Dots: Biology at Scale in the Age of AI - Session 1
Explore cutting-edge AI applications in biological prediction models, featuring expert discussions on bridging computational and biological approaches to advance scientific discovery.
Sales Analysis with Claude
Master AI-powered sales strategies using Claude to analyze data, personalize customer interactions, optimize sales processes, and create data-driven strategies for improved performance and faster deal closures.
Extracting Structured Data from Multi-Modal Input: Neural and Neuro-Symbolic Approaches
Explore advanced techniques for extracting structured data from multi-modal sources, focusing on neural methods, neuro-symbolic approaches, and LLM-based solutions for processing integrated text and visual elements.
AI Ethics: From Theory to Practice - A Guide to Responsible Implementation
Explore practical approaches to AI ethics, from global landscape and regulatory frameworks to implementing ethical innovation in real-world data science applications.