177.4K
MAReal world data > Kaggle 👏🏻 time to get dirty with data #dataset #machinelearning
@mar_antaya
#Dataset
Mira 75K videos de Reels sobre Dataset de personas de todo el mundo.
Ver anónimamente sin iniciar sesión.
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(12)
4.7K
DOscale AI and Mercor could never
#ai #webscraping #dataset #aivideo #rag
@doubleemt
10.5K
JEYou can customize any dataset for any industry, business problem, or project and get way more interesting data than Kaggle.
Plus, you can ask for imperfect data with inconsistent values, duplicates, or nulls to make it feel more realistic to the real world. You just have to know how to specify your requirements and constraints when prompt engineering.
Here’s what you should specify:
✨ size of dataset(s) (rows / columns)
✨ column names and data types
✨ primary keys and foreign keys
✨ distribution and allowed values
✨ variation of datapoints
✨ downloadable as CSVs
✨ anything else that may impact your project!
Have you tried this hack and said goodbye to Kaggle yet?
#dataset #chatgpt #ai #dataanalytics #datascience
🏷️ dataset, kaggle, data analytics project, data analytics portfolio, data science, chatgpt, prompt engineering
@jessramosdata
7.4K
CO📽️ Allison Marchant, a data center technician trainer for Microsoft, will tell you that staying open to new things and practicing a growth mindset can open up doors and pathways – especially with a career in tech.
@comptiaofficial
5.6K
RA¿Sabías que la Inteligencia Artificial es tan buena (o tan mala) como la información que le das a leer? 🤯 El secreto de su éxito está en su "libro de texto": el dataset.
En este vídeo, @rocioartilabs y yo te explicamos de forma sencilla qué es y por qué en la IA siempre se cumple la regla de oro: "Garbage In, Garbage Out" (si le metes datos basura, te dará resultados basura). 🗑️➡️🗑️
Descubre por qué la variedad, calidad y cantidad de la información son la clave para que cualquier modelo funcione de verdad.
🎁 ¿Quieres entender cómo funciona la IA al 100% y no perderte con tanto término técnico? 🎁
👇 Escribe la palabra DICCIONARIO en los comentarios y te enviaré por mensaje directo nuestro Diccionario de IA completo de ArtiLabs. ¡Totalmente gratis! 🚀📖
¡No olvides seguirnos para seguir aprendiendo sobre Inteligencia Artificial de forma fácil y rápida! 😉
#InteligenciaArtificial #IA #Dataset #ArtiLabs
@ramonteleco
1.8K
IRYou can’t build an ML model without data.
For pedestrian intent prediction, I’m using the JAAD (Joint Attention in Autonomous Driving).
JAAD contains real-world driving videos recorded from a vehicle’s perspective, with detailed annotations for pedestrians.
What makes it interesting isn’t just bounding boxes.
It includes:
• Pedestrian locations (bounding boxes per frame)
• Crossing vs not crossing labels
• Behavioral cues (looking, walking, standing)
• Scene context (weather, time of day, intersections)
This matters because intent isn’t purely motion-based.
Sometimes a pedestrian slows down.
Sometimes they look at the vehicle.
Sometimes they hesitate.
Those subtle cues are what the model needs to learn.
In the pipeline so far:
CNN → extracts visual features
LSTM / ConvLSTM → models motion over time
JAAD → provides labeled real-world sequences for training
Next: training the model and seeing if it actually works.
Building with real data > toy datasets.
#machinelearning #artificialintelligence #ml #dataset #computervision
@irene.karrot
25.9K
BLBest Dataset Resources for ML Projects✨
If you need job in data science feel you need to build strong machine learning projects. In this video, I have explained how to find the best resources to get the data for building these projects.
✅ Comment “Ant” for links + demo project in DM!
[datasets, machine learning, data science, projects, college, developer, research]
#dataset #collegestudents #project
@blurred_ai
34.9K
WO🚀There are many types of generative models, handling different data modalities across various domains. #generativeai
📌Text-to-text: Models that generate text from input text, like conversational agents. Ex- amples: LLaMa 2, GPT-4, Claude, and PaLM 2.
📌Text-to-image: Models that generate images from text captions. Examples: DALL-E 2, Stable Diffusion, and Imagen.
📌Text-to-audio: Models that generate audio clips and music from text. Examples: Jukebox, AudioLM, and MusicGen.
📌Text-to-video: Models that generate video content from text descriptions. Example: Phenaki and Emu Video.
📌Text-to-speech: Models that synthesize speech audio from input text. Examples: WaveNet and Tacotron.
📌Speech-to-text: Models that transcribe speech to text [also called Automatic Speech Recognition (ASR)]. Examples: Whisper and SpeechGPT.
📌Image-to-text: Models that generate image captions from images. Examples: CLIP and DALL-E 3.
📌Image-to-image: Applications for this type of model are data augmentation such as su- per-resolution, style transfer, and inpainting.
📌Text-to-code: Models that generate programming code from text. Examples: Stable Dif- fusion and DALL-E 3.
📌Video-to-audio: Models that analyze video and generate matching audio. Example: Soun- dify.
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#datascience #researchpaper #womeninstem #datascientist #dataanalyst #machinelearningengineer #datasciencetools #datascienceeducation #machinelearningalgorithms #deeplearningmachine #datadriven #dataanalytics #dataset #machinelearning #deeplearning #computervision #naturallanguageprocessing #largelanguagemodels #sql
@woman.engineer
25.4K
WO📊 What is the importance of having reliable, accurate, and up-to-date data for public policies and, therefore, for the development of countries? Watch this conversation with Shwetha Grace Eapen, a statistical analyst at the Bank's Development Data Group, and Federico Tiberti, Data Scientist at the Bank's Department for Outcomes, live from the Annual Meetings Data Playground!
👉🏼 Follow the #WBGmeetings and explore our open data portal worldbank.org/data [LINK IN BIO]
#opendata #openknowledge #datascience #datascientist #dataset #worldbank #dataskills #publicpolicy #youngprofessionals #worldbankgroup #internationaldevelopment
@worldbankgroup
17.6K
ALPowerful Website Part 5
#dataset #ai #aitools #tech #reels
@alitrek0
72.7K
FEVOCABOLARIO AI 2025-2026: 20 PAROLE CHE UN TEAM DEVE CAPIRE (SENZA FUMO)
Parliamoci chiaro.
In azienda l’AI crea confusione perché si usano le stesse parole per cose diverse.
Questo post mette ordine.
Con definizioni semplici.
E con esempi pratici.
1) ARTIFICIAL INTELLIGENCE (AI)
È il cappello grande.
Tecnologie che fanno “compiti intelligenti”: capire, prevedere, decidere, generare.
Esempio: un sistema che segnala frodi, o che suggerisce prodotti.
2) MACHINE LEARNING (ML)
È un pezzo dell’AI.
Modelli che imparano dai dati invece di seguire solo regole scritte a mano.
Esempio: previsione churn clienti.
>>> continua 👉🏻👉🏻👉🏻 https://www.fenomenologia.net/parole/vocabolario-ai-2025-2026/
#AUTOMAZIONE, #BUSINESS, #CHATBOT, #COMPUTERVISION, #DATASET, #DIGITALTRANSFORMATION, #ETICAAI, #FENOMENOLOGIA, #FINETUNING, #INNOVAZIONE, #INTELLIGENZAARTIFICIALE #AI #MACHINELEARNING #DEEPLEARNING #GENERATIVEAI, #LAVORO, #LLM, #NLP, #PROMPT, #VOICEAI
@fenomenologiadellalingua
2.0K
NEMenurut data dari #IndonesiaData ternyata pria lebih menyukai hand body 😮
Setuju gak #KawanData ?
Klik link di bio untuk mencari data lainnya sekarang! 🔗
#DataSet #DataBisnis #PemasaranData #StrategiBisnis
@new.indonesiadata.id
✨ Guía de Descubrimiento #Dataset
Instagram aloja 75K publicaciones bajo #Dataset, creando uno de los ecosistemas visuales más vibrantes de la plataforma.
Descubre el contenido más reciente de #Dataset sin iniciar sesión. Los reels más impresionantes bajo esta etiqueta, especialmente de @mar_antaya, @fenomenologiadellalingua and @woman.engineer, están ganando atención masiva.
¿Qué es tendencia en #Dataset? Los videos de Reels más vistos y el contenido viral se presentan arriba.
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📹 Tendencias de Video: Descubre los últimos Reels y videos virales
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Preguntas Frecuentes Sobre #Dataset
Con Pictame, puedes explorar todos los reels y videos de #Dataset sin iniciar sesión en Instagram. No se necesita cuenta y tu actividad permanece privada.
Análisis de Rendimiento
Análisis de 12 reels
💡 Posts top promedian 77.7K vistas (2.4x sobre promedio)
Publica regularmente 3-5x/semana en horarios activos
Consejos de Creación de Contenido y Estrategia
🔥 #Dataset muestra alto potencial de engagement - publica estratégicamente en horas pico
📹 Los videos verticales de alta calidad (9:16) funcionan mejor para #Dataset - usa buena iluminación y audio claro
✍️ Descripciones detalladas con historia funcionan bien - longitud promedio 588 caracteres
✨ Muchos creadores verificados están activos (58%) - estudia su estilo de contenido
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