177.6K
MAReal world data > Kaggle 👏🏻 time to get dirty with data #dataset #machinelearning
@mar_antaya
#Dataset
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DOscale AI and Mercor could never
#ai #webscraping #dataset #aivideo #rag
@doubleemt
3.5K
EU🚨Out now: interactive publication on regions in Europe! 🎉
Get a deeper understanding of the social, economic and environmental situation across the #EUregions with the ‘Regions in Europe - 2021 interactive edition’, containing a wide variety of dynamic visualisations ‼️ 😮
👉 Link in bio!
#AskEurostat #database #statistics #datascience #dataviz #europe #eu #database #statistics #dataset #europe #euregions #regions #regional #regionalyearbook #visualisation #interactivepublication #eurostatics #europeanunion #educationineurope #education #environment #tourism #economy #eueconomy #population #health #eupopulation #eutourism
@eu_eurostat
2.8K
CN#Watch | Researchers from National University of Singapore say they've developed MinD-VIS, a mind-reading AI. The tech can 'read' a person's thoughts & re-create visuals s/he is examining. However, there are possible risks lurking & relative lack of legislation in AI research
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#AI #ChatGPT #Singapore #mindreading #dataset
@cnbctv18india
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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
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
9.3K
IMYou must have stumble across this phrase “Garbage in, Garbage out” But remember, if your data has inconsistencies or any errors, the results will be flawed.
Hence, data cleaning is important because it majorly helps in:
* Getting rid of unwanted data
* Fixing structural errors especially caused during manual data entry.
* Standardizing the data
* Removing unwanted data outliers
So, even though the process can be tiring, maintaining data hygiene is important for all businesses as it creates a strong foundation.
Learn all about Data Analytics by enrolling in our Postgraduate Program In Data Science And Analytics.
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#Imarticus #ImarticusLearning #NewAgeLearning #DataSet #DataAnalytics #DataScience #DataAnalysis #Upskilling #Upskill #ReelIndia #TrendingAudio #TrendingReels #office #notice #officefun #fun #officememes #trending #trendingreels #reelsinstagram #reelitfeelit #reelsindia #reelkarofeelkaro
#corporate #corporatereels
@imarticus
36.7K
HEGoodbye Wikipedia, Welcome Grokipedia
In a recent Interview, Elon Musk says about it:
Imagine a Wikipedia rebuilt by AI, objective, dynamic, and always evolving.
#grokipedia #AI #Future #Dataset #elonmusk
@heyzoyakhan
26.4K
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
872
PYDon't just collect data, build your own scenarios! Augment datasets locally and train your models with custom insights. A new tool is coming soon! #DataScience #MachineLearning #AI #ComputerVision #Annotation #VisoLabel #Dataset #ModelTraining
@pysource_com
25.6K
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
✨ #Dataset Discovery Guide
Instagram hosts 75K posts under #Dataset, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
Discover the latest #Dataset content without logging in. The most impressive reels under this tag, especially from @mar_antaya, @heyzoyakhan and @woman.engineer, are gaining massive attention. View them in HD quality and download to your device.
What's trending in #Dataset? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
Popular Categories
📹 Video Trends: Discover the latest Reels and viral videos
📈 Hashtag Strategy: Explore trending hashtag options for your content
🌟 Featured Creators: @mar_antaya, @heyzoyakhan, @woman.engineer and others leading the community
FAQs About #Dataset
With Pictame, you can browse all #Dataset reels and videos without logging into Instagram. No account required and your activity remains private.
Content Performance Insights
Analysis of 12 reels
💡 Top performing posts average 68.9K views (2.4x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
Content Creation Tips & Strategy
💡 Top performing content gets over 10K views - focus on engaging first 3 seconds
✍️ Detailed captions with story work well - average caption length is 520 characters
✨ Many verified creators are active (83%) - study their content style for inspiration
📹 High-quality vertical videos (9:16) perform best for #Dataset - use good lighting and clear audio
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