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Pinned Threads
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KnowledgeKingX
shweta
Alex
janhavi
pangaeaX
- 4 months ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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6
- 1 year ago
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5
- 11 months ago
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4
- 1 year ago
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4
- 1 year ago
Weekly Posting Rituals
What are the key benefits of staff outsourcing
Staff outsourcing can offer numerous advantages to small businesses, particularly in terms of efficiency and cost-effectiveness. Here are some key benefits: Cost Savings: Staff Outsourcing allows businesses to avoid the…
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2
kashaf
- 6 months ago
What benefits come with employing a developer for Power BI?
Hire Power BI developer with cross-functional knowledge has several benefits, one of which is a deeper comprehension of various business processes and their interconnections. These developers are able to produce…
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3
- 2 years ago
How do data visualization consulting companies ensure the scalability of solutions?
Data visualization consulting company ensures scalability by designing solutions that can grow with the business. They implement data models and structures that can handle increasing data volumes without compromising performance.…
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3
- 1 year ago
Bounty Questions
🏅 Bounty: 200 pts
How often you update feature engineering after deployment to handle data drift in ML ?
In your machine learning projects, once a model is deployed, how often do you revisit and adjust the feature engineering process to address issues caused by data drift?What indicators or…
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4
- 9 months ago
🏅 Bounty: 200 pts
How much statistics you need to know as a data analyst?
I am planning to learn data analytics and i got overwhelmed by all the information at the internet so I am asking here how much statistics do you need and…
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2
- 9 months ago
Which NLP technique is most effective for detecting sarcasm in text?
I’m working on a project that analyzes social media posts and reviews, and one of the main challenges is detecting sarcasm and subtle contextual meaning. Traditional sentiment analysis often misclassifies sarcastic statements because the literal words don’t match the intended…
How can I prevent overfitting in a convolutional neural network while training on a small?
I’m training a CNN on a relatively small image dataset, and the training accuracy quickly reaches near 100%, but validation accuracy stagnates and then drops. I suspect overfitting is the issue. Here’s a simplified version of my training code in…
Why do AI-generated product images still get flagged as AI after post-processing?
I’ve been experimenting with AI-generated product images and even after applying post-processing techniques like sharpening, color correction, and minor retouching, some detection tools still flag the images as AI-generated. I’m curious why these models can still detect AI images and…
Why do AI-generated product images still get detected as AI after post-processing?
I’ve noticed that even after enhancing or lightly editing AI-generated product images, some detection tools still flag them as AI. I’m curious why these models can still identify them and whether there are reliable ways to make AI-generated visuals pass…
Using a date parameter to control data volume Dev, UAT, and Prod is this a reasonable?
I’m designing a pipeline where the same dataset needs to flow through different environments: Dev, UAT, and Prod. The challenge is that the production dataset is huge, but in Dev and UAT, I only need a subset of the data…
Which data science bootcamps or courses are worth it for career changers over 35?
Hello! I’m considering switching to a career in data science and wanted to get advice from the community. I’m in my late 30s and looking for programs that provide practical experience in Python, machine learning, and data analytics. Are there…
How do you effectively integrate AI into workflows while keeping human oversight?Artificia
Artificial Intelligence is evolving faster than many organizations can integrate it responsibly. Beyond just adopting AI tools, the real challenge is merging AI capabilities with existing business processes, decision-making structures, and human judgment. From autonomous workflows to multi-agent ecosystems, AI…
Our recommendation engine is serving irrelevant results.
We’ve tried collaborative filtering, not working. Anyone solved this at scale?
How Does Regulus Liquidity Improve Forex Market Access?
I have been researching different liquidity providers for forex and multi-asset trading, and recently I came across Regulus Liquidity. From what I understand, liquidity plays a major role in determining trade execution quality, spreads, and overall market efficiency. However, I…
Which NLP Technique Do You Think Is Most Underrated?
When people discuss Natural Language Processing (NLP), the conversation often centers around Large Language Models (LLMs), transformers, chatbots, embeddings, and retrieval-augmented generation (RAG). While these advancements have transformed the field, many powerful NLP techniques don’t seem to get the attention…
Business Intelligence or Artificial intelligence or both?
I am a new graduate and I am thinking whether to get into business intelligence profile or Artificial intelligence? I did read up on google. Is business intelligence stepping stone to world of data?
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6
MJ
Wrapo Biz
NA_analytics
- 3 years ago
Is MS Excel still in the game of reporting?
I am an experienced data analyst using MS Excel for years with VBA expertise. Do you think I should continue creating dashboards for it or learn one of these fancy tools of today? If yes, what should I choose?
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6
LookUpVisualizer
Razrap
- 3 years ago
Model is failing in spite of continuous training.
How and what can I do to train my model. My sample population doesn’t seem to work. My inputs don’t change that often.
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3
- 3 years ago
What is the best way to collect the data?
I have tried my best to collect data from surveys, questionnaire, interviews and group discussions. What else can be my choice? I follow the above model. Please suggest a better framework to better represent the collected data.
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3
- 3 years ago
Curious to know, what are the best tools on visualization in the market?
Have you used tools like Domo, Looker or Birst? Are these worth it according to you?
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3
Rajesh_Vincent
- 3 years ago
How to optimize steps in pentaho?
The current transformation does not run fast enough. The work is done but it takes longer than expected causing delays in the report generation. Any tips will help.
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1
- 3 years ago
Difference between analytics and analysis?
I am not from data background I am curious to know what really is the difference from the professionals, not the bookish definition of it.
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3
Sameer Barari
- 3 years ago
Analyst role in the companies
I have heard of data analysts who handle different set of things for different companies. A data analyst could be a data engineer or a data scientists or just into data analysis. What do you think is the actual role…
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2
- 3 years ago
R Web scraping issue
I am trying to enter keywords in a search field on a web page through R. Firstly I access link in R, use selector gadget to select the search field, extract keyword from list in R, ‘paste’ in search field…
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2
- 3 years ago
SQL – Recommendation needed
Hey guys, I’m currently studying Data Analytics and I’ve finally started writing SQL queries! Any recommendations for structured SQL learning?
Business Intelligence or Artificial intelligence or both?
I am a new graduate and I am thinking whether to get into business intelligence profile or Artificial intelligence? I did read up on google. Is business intelligence stepping stone to world of data?
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6
- 3 years ago
Is MS Excel still in the game of reporting?
I am an experienced data analyst using MS Excel for years with VBA expertise. Do you think I should continue creating dashboards for it or learn one of these fancy tools of today? If yes, what should I choose?
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6
- 3 years ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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6
- 3 years ago
Seeking Power BI Consultants/Freelancers for Partner Opportunities
Hi Folks- I recently launched a data platform designed for non-technical users. It’s a simple data hub for structuring, sharing, and collecting data. Other nice features: better data governance through reporting, data catalog, and sharing approval workflows, row level access…
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Kavya Iyer
Shweta Dubey
- 3 years ago
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5
- 3 years ago
Tools You Can’t Live Without
Share the tools that make your data workflow more productive.
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5
- 3 years ago
Do you prefer heavy data transformations during early ETL or later in modelling? Why?
I’m exploring best practices in designing data pipelines and want to understand how different teams handle computationally intensive transformations. Some advocate for doing it early during ETL to keep models clean and fast, while others prefer flexibility and defer transformations…
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4
Sameena
Arindam
- 3 years ago
Barbershop & Salon Data Engineering
Hi Data World, Im a new business owner , and have opened up my barbershop for 4 months now. I have been in the industry for 15 years, and realize the power of data. How it can influence behavior and…
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4
Devansh
Shamayl
- 3 years ago
Is data mining redundant now? Or are there still data miners out there?
Data mining is often described as the process of discovering patterns, correlations, and trends within large datasets to generate actionable insights. But in today’s context—where data is abundant and growing exponentially—how do we ensure that the patterns we uncover are…
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- 3 years ago
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- 3 years ago
