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Pinned Threads
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4
shweta
Alex
janhavi
pangaeaX
- 2 months ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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5
- 11 months ago
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4
- 9 months ago
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3
- 11 months ago
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3
- 11 months 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
- 4 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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4
KnowledgeKingX
- 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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4
- 11 months 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
- 7 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
- 7 months ago
How do you optimize Python for high-performance workloads at scale?
Python is often the default choice for data, AI, and backend systems, but performance becomes a real concern as workloads scale. The challenge isn’t just Python’s speed, it’s how it’s used. From what I’ve seen, performance bottlenecks usually come from:…
What’s stopping your ML models from reaching production?
Machine Learning has moved far beyond experimentation. Most teams today can build models. The real challenge begins when it’s time to take those models into production and make them reliable, scalable, and impactful. From what I’ve seen, the gaps are…
How can Pentaho automate end-to-end BI workflows effectively?
As organizations scale, one challenge becomes very clear: data workflows don’t break because of lack of tools, they break because of fragmentation. Different teams handling extraction, transformation, reporting, and governance separately leads to delays, inconsistencies, and dependency bottlenecks. That’s where…
How to find the first non-repeating character in a stream efficiently?
Here’s a clean version you can use: Short Question:How do you design a data structure to efficiently track and retrieve the first non-repeating character in a stream? Description:In many data stream problems, characters arrive one by one, and we need…
How can I transform left/right injury data into injured vs uninjured categories in Python?
I’m new to programming and working on a dataset involving injury measurements from force plates. The data is currently split into left and right sides, with metrics like left peak breaking force, right peak breaking force, and combined averages. For…
How are you handling memory optimization in large-scale deep learning models?
With newer models getting larger (especially in LLMs and multimodal setups), memory constraints are becoming a major bottleneck during training and inference. Looking for practical approaches others are using to manage this, such as: Gradient checkpointing vs mixed precision Model…
How are you optimizing workflows in Alteryx for large datasets?
I’ve been working with Alteryx on moderately large datasets, and performance starts to slow down as workflows get more complex. Looking for practical approaches others are using to: Reduce processing time Handle memory limitations Optimize joins and transformations Would be…
When does visualization become a bottleneck?
With growing data volumes and real-time analytics, visualization layers are starting to struggle with performance, rendering, and interactivity. At what point does the visualization itself become the limiting factor rather than the data pipeline or model? Interested in how others…
What matters more in modern Natural Language Processing: performance or context?
With rapid advances in NLP, models are getting better at generating fluent and accurate responses. But in real-world applications: Misunderstanding context still leads to incorrect outputs High accuracy doesn’t always mean useful results Domain-specific understanding often becomes the bottleneck So…
Where do you see ChatGPT outperforming Claude, and where does it fall short?
Both tools are widely used today, but their strengths often show up in different use cases. Some people prefer one for coding and structured tasks, while others lean toward the other for writing, reasoning, or longer context handling. From your…
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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5
- 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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5
Kavya Iyer
Shweta Dubey
- 3 years ago
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4
- 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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4
- 3 years ago
Tools You Can’t Live Without
Share the tools that make your data workflow more productive.
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4
- 3 years ago
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 monitoring strategies help you decide when updates are needed?
-
4
- 3 years 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 dashboards that serve several departments, guaranteeing that different stakeholders receive…
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4
- 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
