Python for Machine Learning - Machine Learning Tutorial for Beginners
Comprehensive introduction to Python for machine learning, covering essential libraries like NumPy, Pandas, and Seaborn. Includes practical examples and guidance for beginners.
Get Your Data Production Ready Fast with Ruby Polars
Discover how Ruby Polars can efficiently clean and prepare large datasets, expediting data import processes for applications and AI/ML projects using basic operations.
Learning Pandas - Start Here
Comprehensive overview of Pandas functionality, covering data I/O, DataFrame operations, filtering, statistics, grouping, and data manipulation techniques for efficient data wrangling and analysis.
Data Wrangling Using SQL - Data Cleaning in SQL
Learn essential SQL data wrangling techniques for querying, joining, appending, filtering, and creating new fields in datasets. Gain practical skills to efficiently prepare and transform data for analysis.
Always Know What to Expect From Your Data With Great Expectations
Learn to validate, test, and document data quality using great_expectations. Covers installation, initialization, context, demos with various datasets, and practical applications for data teams.
Program Synthesis
Explore program synthesis techniques including data wrangling, enumerative search, and superoptimization. Learn about tools like FlashFill and PROSE for automated code generation and optimization.
PyTesting the Limits of Machine Learning
Explore techniques and tools for testing machine learning components in Python, addressing challenges of nondeterminism and ensuring reliability in ML-driven applications.
Everyone Can Do Data Science in Python
Learn essential data science techniques using Python, numpy, pandas, and sklearn. Explore real-world use cases with code snippets and live demos in IPython notebooks.
Python & Visual Studio Code - Revolutionizing the Way You Do Data Science
Discover how Visual Studio Code, GitHub, Codespaces, and Azure ML enhance Python data science productivity. Learn about VS Code Notebooks, Data Wrangler, collaboration features, and deployment options.
Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning
Explore how prefix-tuning offers an efficient alternative to LLM fine-tuning for data wrangling tasks, requiring minimal parameter updates while maintaining comparable performance in data integration and cleaning.
Regex in PowerShell - How to Grasp It and Why You Should Grasp It
Domina la limpieza y manipulación de datos en PowerShell con expresiones regulares. Aprende sintaxis esencial, enfoques teóricos y ejemplos prácticos de uso efectivo.
Tabular Learning: Skrub and Foundation Models - Automating Data Wrangling
Explore tabular learning with skrub library, automating data wrangling and simplifying complex pipelines for efficient machine learning on organizational data.
Pharma Research Automation by Connecting Researchers with Robots and Systems
Automating pharma research processes using business process modeling to integrate researchers, robots, and systems, enhancing efficiency and standardization in drug discovery and development.
Will AI Save the Earth or Kill It? | Katie Brown | TEDxCronton Sixth Form College Youth
Katie Brown speaks at Cronton Sixth Form College’s first ever TEDx Youth event. My name is Katie and I am studying A Level Biology, Chemistry, and Mathematics at Cronton Sixth Form. Living in the modern era, we have been introduced to new ideas. One of which is AI. In my speech, I hope to clarify th
La verdad incómoda: por qué la IA fracasa | Eduardo Vázquez | TEDxUniversidadPanamericanaGuadalajara
Eduardo, experto en inteligencia artificial, nos lanza una pregunta que sacude los cimientos del progreso: ¿Es la IA realmente la solución a nuestros problemas? Mientras la revolución tecnológica avanza, va dejando a su paso un cementerio de empleos, pero el costo más alto es invisible: la alienació
In an AI-driven world, can we still claim ownership of our own stories? | Joy Zhou | TEDxYouth@BHIS
This talk explores whether we can still claim true ownership of our personal stories in an increasingly AI-driven world, where algorithms shape, filter, and even create the narratives we live by. I chase ideas like fireflies—drawn to beauty, guided by curiosity, and never content with cages. This ta
AI tra entusiasmo e paura | Giacomo Ciarlini | TEDxReggioEmilia
Stiamo delegando pezzi di pensiero a strumenti che non capiamo davvero, perché sono comodi e funzionano. Giacomo Ciarlini spiega cosa rende “nuova” l’IA generativa, come sta già cambiando creatività e produttività, e perché la sua adozione è stata così rapida. Poi mette a fuoco le ombre: lavoro che
Harvard-MIT’s AI Unicorns and Truths About the Future of Intelligence | Devon Triplett | TEDxBoston
What can 27 AI unicorns founded by Harvard and MIT affiliates teach us about the next era of the intelligence revolution? In this talk, Devon Triplett, an AI researcher, founder, and investor, shares surprising insights from his 2025 Harvard-MIT AI Unicorns Trends Report, revealing how the abundance
Why AI Needs to Learn How to Work Together | Ayush Chopra | TEDxBoston
In this forward-looking and rigorously grounded talk, Ayush Chopra invites us into a near future where millions of AI agents act simultaneously—shopping, trading, commuting, and optimizing—only to overwhelm the very systems they were meant to improve. Through the vivid metaphor of a Black Friday “di
ChatGPT 5 - отличия от предыдущих версий. Возможности Sora!
В этом видео мы подробно разбираем ChatGPT 5 и показываем реальные примеры того, как работает новая версия нейросети. Мы сравниваем пятое поколение с предыдущим — GPT 4. Кроме того, мы тестируем Sora. Подробный курс по нейросетям - https://cloudlessons.ru/v/490/ Автор видео: https://www.youtube.com
Kling AI - Полный обзор! Сравнение Kling 2.5 Turbo, Kling 2.6 и Kling О1
Полный обзор нейросети Kling AI и сравнение его моделей для генерации видео. Бесплатный вводный мини-курс по нейросетям - https://cloudlessons.ru/mc/neuro2/?camp_id=26946 Полный курс по нейросетям - https://cloudlessons.ru/v/490/ Наш Telegram канал: https://t.me/videosmile_ru Сравним Kling 2.5 Tur