Ask an AI chatbot how many r's are in "strawberry" and it can still slip up. It isn't stupid it literally never sees individual letters. To GPT-4's tokenizer, strawberry is sliced into three chunks: "str", "aw", and "berry"....

Viral posts are claiming that Shanghai AI Lab's new open-weight model, Sage-A1.5, "outshines the behemoths"—going toe-to-toe with and beating trillion-parameter frontier giants like Kimi K3, GLM-5.3, and GPT-5.6 Sol. Even wilder: Sage holds only 35 billion parameters and...

Moonshot AI claims its new Kimi K3.1 Pro matches the strongest proprietary models in coding, agentic reasoning, and math. Viral posts immediately declared that an open model had finally outperformed every closed model on Earth. Independent benchmark data tells...

🔹 Clustering ist die ideale Technik des unüberwachten Lernens, um Informationen zu segmentieren, verborgene Muster zu entdecken und Daten ohne Labels zu gruppieren. Nutzen Sie hierarchisches Clustering und den EM-Algorithmus, um die explorative Analyse, die Bildverarbeitung und Geschäftsentscheidungen zu...

🔹 Regressionsmodelle sind wichtige Machine-Learning-Tools zur Analyse von Daten, zur Ermittlung von Beziehungen zwischen Variablen und zur Vorhersage kontinuierlicher Werte. Wenden Sie Techniken wie lineare Regression, logistische Regression, Regressionsbäume und SVM an, um reale Probleme zu lösen und Ihre...

"I went on 1,000 blind dates. Averaged 5 second dates in the past, but zero this season. Same difference, right?" Wrong. Mathematically, hitting is 26 TIMES rarer than hitting your average of 5. With λ = 5: • P(5 second...

Ever wondered what actually sets traditional machine learning apart from the modern generative models we use today? In this video, we break down the core differences in a simple, easy-to-understand comparison that highlights how each approach handles data. We...

Ever wonder what really sets traditional artificial intelligence apart from the latest generative models? In this video, we break down the fundamental differences between these two powerful technologies using clear examples and visual data comparisons. Traditional AI focuses on...

In this video by Uplatz, we explore Tech Careers: Which Path Fits You, introducing different career opportunities in the technology industry and helping beginners understand which roles align with their interests, skills and career goals. From software development...

In this video by Uplatz, we explore Machine Learning vs Deep Learning, explaining how computers learn from data, identify patterns and make predictions without being explicitly programmed for every task. Both technologies are important branches of artificial intelligence,...

Graduate school Bayesian inference exam question: Beta Prior + Binomial Likelihood + MAP estimation. Do you spend 3 pages taking derivatives and integrals? HELL NO! You solve it in 3 seconds with elementary addition! 1. The Setup: - Unknown coin....

I went on 1,000 blind dates. In my prime, I averaged 5 second dates per 1,000. This season? Exactly 0. "Five out of a thousand, zero out of a thousand... same difference, right?" Wrong. With an average of λ = 5,...

What happens if you finally meet your 1st soulmate... go on a few dates, realize you hate each other, and break up? 1. Exponential vs. Gamma: - Exponential = waiting time for your 1st soulmate (can happen on...

What the heck is the Poisson distribution? Spoiler: It’s literally just the Binomial distribution taken to the absolute extreme! 1. The 10/10 Soulmate Problem: What are the odds of finding your absolute dream partner on an app? Your...

We’re hiring 100 data science professionals with top-company experience in Python, ML, and statistical modeling for remote contract roles. Drop your email in the comments or message me directly to apply. Check out Software Development & Tech for...

👉Best courses to become a data analyst: DataCamp Data Analyst in SQL Track - DataCamp Excel Fundamentals Track - DataCamp Data Analyst in Power BI Track - DataCamp Data Analyst in Python Track - 👉Get 40% OFF CodeCrafters: 👉Git...

The cancellation of GHC26 doesn’t mean the end of new opportunities! While we won’t be connecting in person at the Grace Hopper Celebration, I’m still here to answer your questions about graduate school and UC Berkeley’s MA in Statistics...

⚡ BUILD PRODUCTION AI AGENTS ON A $0 BUDGET: Want to build and run multi-agent workflows with CrewAI, Ollama, and Python without paying a single dollar in API fees? Get "The $0-Budget AI Agent Playbook" + complete runnable Python code...

Discover what you’ll learn in our Data Science with Python course, taught by an expert Berkeley trainer. In this testimonial video, get an inside look at the course content, hands-on Python training, and how it prepares you for...

Machine Learning Models Explained: The Complete Roadmap from foundational linear algorithms to modern Transformers and Reinforcement Learning. Master the intuition and production trade-offs behind all 17 core architectures without textbook fluff. Most AI roadmaps drown you in hundreds of...

Mean imputation is secretly destroying your machine learning feature variance and cross-column covariance. Here is how MICE fixes it. Most data science workflows treat missing data as an afterthought by defaulting to simple mean or median filling. In this...

I mapped where every Nobel Prize winner since 1901 was born. The USA leads in total, but per capita Sweden comes first. I took the official Nobel Prize data and placed each laureate in the country where they were...

Is AI revolutionizing quantitative finance, or is the industry making a costly mistake by focusing too much on automation and cost reduction? In this video, I break down the real impact of large language models (LLMs) on quantitative...

Unlock the secrets to professional data analysis and learn how to turn raw numbers into meaningful action. In this video, we break down the core mental framework used by top analysts to interpret complex information and solve real-world...

Your customers are already telling you how to improve your business. Are you listening? 👂 Customer reviews, comments, survey responses and messages contain valuable insights about what people like, what they struggle with and what they want from your...

Learn how to use pandas qcut to divide your data into meaningful bins. We'll explore creating granular bins for better analysis and how to interpret the resulting ranges. #Pandas #DataScience #Python #Programming #DataAnalysis

Unpacking the Weight of Evidence (WoE) formula: Distribution of goods divided by distribution of bads, then taking the natural log. Crucial for data analysis and model building. #WeightOfEvidence #DataScience #MachineLearning #Statistics #WoEFormula

El Diplomado Internacional en Ciencia de Datos para las Ciencias Sociales de la FLACSO México es un programa innovador y único en América Latina por su enfoque y perspectiva en ciencias sociales. Aprende a trabajar con datos, utilizar R,...

Learn how to create a donut chart in Python using Plotly. In this tutorial, we'll use Plotly's Pie chart and the hole parameter to turn it into a customizable donut chart. #Python #PythonTutorial #Plotly #PlotlyPython #DataVisualization #DataScience #PythonProgramming #LearnPython...

A unique 50 second short that explores how a neighborhood rumor about a bakery was debunked using belief psychology. It shows how cognitive biases shape misinformation and how constructive verification can turn fear into civic curiosity. #CriticalThinking #Misinformation #FactChecking...

Can mathematics help us understand why people move toward political extremes? Statistical distributions can be used as models for patterns in human behavior, offering another way to explore how populations spread across different beliefs and viewpoints. #Mathematics #Statistics #DataScience...

How Do You Get Promoted to Management? How do you go from being a strong individual contributor to becoming a manager? In this video, I break down the promotion process from my perspective as someone who has hired people...

🔥 Explore the Intellipaat AI & Data Science Program: 🎯 Real Career Transformations in AI & Data Science What does it take to build a career in AI and Data Science? In this Intellipaat success story mashup, learners share...

Turning messy data into model‑ready data is where most AI projects win (or fail). In this demo, we’ll show how Generative AI can help you preprocess data in Python faster—from cleaning and transforming to handling missing values, outliers,...

Learn how integrating Neo4j Graph Intelligence into Microsoft Fabric transforms standard AI outputs into context-aware, highly accurate product recommendations and intelligent item substitutions. In this session, we explore how traditional relational data structures limit AI agents, leading to generic...

Learn NumPy in Python from scratch in this beginner-friendly tutorial. In this video, we explain what NumPy is, why it was created, how NumPy arrays work, and why NumPy is widely used in data science, machine learning, AI, and...

I stumbled upon a massive anomaly in this dataset that completely changes how we look at the numbers. In this quick data analytics breakdown, I'll show you exactly what I found, how I spotted the trend, and the...

Your first call with the Jev Python SDK... Using Jev's Noul primitive to classify spam with 98% confidence. Plus a fun fact: TypeSafe doesn't even bill for output tokens. Watch the full demo in "Understand Jev (the only video you...

Jev Week 7/7. TypeSafe's own page of Jev limitations lists nine documented failure modes, and it says a score for a statement and one minus the score for its opposite may not be directly comparable. Jev also doesn't...

How to Learn Python, Data Analysis, ML, DL & GenAI in 2027 | Complete Roadmap | TTIDA Enrollment Form :- How to Learn Python, Data Analysis, ML, DL & GenAI in 2027 | Complete Roadmap Python to GenAI Roadmap 2027...

Link to GitHub Repository: In this video, I break down a new framework called Label Poisoning Antidote (LPA)—a method designed to defend AI models against malicious data attacks while slashing the need for massive labeled datasets. Label poisoning attacks...

Is AI helping students learn—or is it quietly destroying the value of education? After reviewing roughly 200 graduate-student resumes over the past six months, including about 36 in a recent assignment, I noticed something I didn't expect: the strongest...

You thought you knew ChatGPT? 🤯 Here are 7 powerful prompt shortcuts you can use to get better answers, explanations, comparisons, rewrites & even help with coding! 💻🔥 Save this Short 📌 and try them yourself! 1. /simplify → Make it...

El Diplomado Internacional en Ciencia de Datos para las Ciencias Sociales de la FLACSO México es un programa innovador y único en América Latina por su enfoque y perspectiva en ciencias sociales. Aprende a trabajar con datos, utilizar R,...

Most people think traditional banks are slow, conservative, and years behind fintech and technology companies. But what if that assumption is completely wrong? In this video, I explain how algorithmic banking actually works in practice, using auto lending as a...

What if your old data could show you what may happen next? Google Research built TimesFM to find hidden patterns and forecast the future. Comment FUTURE and I’ll send you the setup link. 👇 TimesFM studies numbers that change...

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I rebuild the same Decision Tree, but this time I use Gini instead of Information Gain. Two different ways of scoring a question—and we'll see whether they lead me to the same decision. #Shorts #AI #MachineLearning #DecisionTrees #GiniIndex #InformationGain #ArtificialIntelligence...

How do you actually prepare for a quantitative manager interview? In this video, I take you behind the scenes of my own interview preparation process while going through the job search. Instead of presenting a perfectly organized study plan,...

What if I looked at my decision in a different way? Instead of asking which question removes the most uncertainty, I can look for questions that separate people into groups with similar decisions. #Shorts #AI #MachineLearning #DecisionTrees #GiniIndex #ArtificialIntelligence #DataScience...

Struggling with too many data bins? Learn how to logically combine them to create a more monotonic, decreasing trend. This approach applies to decision trees, XGBoost, and more, ensuring better model performance. #DataScience #MachineLearning #ModelBuilding #FeatureEngineering

Learn how to calculate the Weight of Evidence (WOE) for your variables. We'll use a temp table and NumPy's log function to determine WOE values, crucial for statistical modeling. #WeightOfEvidence #DataScience #StatisticalModeling #WOE #FeatureEngineering

Check out the new geography and astronomy in Version 15. Learn more about GeoGraphics and astronomical events. Launching Version 15: Want to learn more about Wolfram and what we do? Visit us at: #astronomy #geography #astrophotography #datascience #computerscience...

Now I put everything together and start building my Decision Tree. Using Information Gain, I score the questions at each step and build the tree until I reach my final decision. #Shorts #AI #MachineLearning #DecisionTrees #InformationGain #Entropy #ArtificialIntelligence #DataScience ...

What is a Vector Database, and why is it becoming so important for modern AI applications? In this video, we explain Vector Databases in simple terms and show how they help AI search information based on meaning and similarity,...

Check out the new visualization in Version 15. Learn more about how you can use it on your data. Launching Version 15: Want to learn more about Wolfram and what we do? Visit us at: #visualization #dataanalytics #datascience #computerscience...

🎙️ I.Talk | Episode 41– With Mounir Mahdade What happens when an engineering student from Morocco decides to pursue research abroad… and eventually transitions from academia into industry leadership? In this episode of I.Talk by To Open Doors, we welcome...

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🚀 Welcome to Complete Python Basics for Beginners – Part 1! In this Python tutorial for beginners, you will learn the fundamentals of Python programming step by step in simple English. This video is perfect for absolute beginners who...

"What if the biggest hurdle for your AI isn't what it knows... but how it finds it? " Welcome to nanddevtech — where we break down cutting-edge AI research into powerful, actionable insights. In this video, we explore the massive...

#AISafety #RAG #GenerativeAI #ArtificialIntelligence #LLM #AIHallucination What if AI systems that claim to be “hallucination-free” are still making critical mistakes? In this video, we break down AI Safety Decoding and reveal the truth behind RAG (Retrieval-Augmented Generation) in legal...

What if the biggest limitation in modern AI isn’t model size… but tokens themselves? 🤯 Welcome to nanddevtech — where we break down cutting-edge AI research into simple, powerful insights. In this video, we explore a groundbreaking idea called Continuous...

Want to understand why modern AI systems sometimes generate incorrect or misleading answers? 🚀 In this video, we break down the concept of AI hallucination in Large Language Models (LLMs) and explain why even advanced systems using **Retrieval-Augmented Generation...

Want to truly understand how Large Language Models (LLMs) work? 🚀 In this video, we break down the complete architecture of modern AI systems in a simple and visual way. From tokenization and embeddings to transformer networks and attention...

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اگر قصد اپلای، فول‌فاند، مهاجرت تحصیلی یا کاری داری، انتخاب رشته مهم‌تر از انتخاب کشوره. بر اساس داده‌های بازار کار جهانی، این ۱۰ حوزه بیشترین کمبود نیروی متخصص و بیشترین فرصت فاند و ویزا رو دارن 👇 1️⃣ علوم کامپیوتر...

STOP guessing! There are 3 essential pillars we use to evaluate future industry leaders. Your application must shine in these areas: Academic Aptitude: Prove the mathematical knowledge needed for rigorous coursework. Industry Readiness: Show real-world problem-solving skills (Python/SQL, internships). Leadership &...