insideBIGDATA
The Time is Now for Green AI

https://insidebigdata.com/wp-content/uploads/2023/08/AI_shutterstock_2350706053_special.jpg Our friends over at Booz Allen, are strategizing about what organizations can do now to start making a positive environmental impact, while maintaining the same level of efficiency with AI models. This and many other topics are covered in the latest edition of Velocity, a Booz Allen publication.

Data Science
What skills should I gain to be a "Full Stack Data Scientist"?

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Data Science
Success Stories: Data Related Projects from your Work

Hi, can you guys share some success stories from your Work where you did Data related projects. What was the project, how did it help the company, how did you present the project to non-technical stakeholders, etc.

This is for motivation and learning purposes too. Thank you. Happy sharing of stories.

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Data Science
How to get better at PowerPoint?

Unfortunately I have realised that at most jobs 80 percent of my time is spent on Ppt and 5 percent on the actual analysis. I was working in consulting and the best associates were the ones who could make the best presentations. Even at McKinsey, Bain etc my friends seem to mostly involved in making decks all day long. How do I get better at ppt? I used to feel that ppt would get redundant and hence didn’t really focus on it. Is it worth it to devote time in learning how to make beautiful ppts or is it a dying software and even investment banking and consulting will shift to something more sane/ AI will make it easy to make excellent ppts?

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Data Science
Hii how can change my MAC address in every 15 seconds?

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KDnuggets
Generative AI: The First Draft, Not Final

This article gives a high-level overview of how LLMs work and their attendant limitations with accessible explanations and anecdotes throughout the piece. We also present advice on how people can introduce them into their workflows.

KDnuggets
Future-Proof Your Data Game: Top Skills Every Data Scientist Needs in 2023

An overview of the most sought-after skills in 2023 based on the rise of generative AI.

Data Science
Need help

Does catastrophe modeling and data analytics Come under data science Plz help I have got an internship offer at accenture

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Data Science
Teacher wants me to pursue data science more than my current major

I need some advice on my educational and career path. So I am an IT major at my current university and for my major had to take a Statistics class last semester and I very much enjoyed and the teacher who taught it. So for one of my technical electives this semester I’ve taken another one of her statistics courses and so far I’ve enjoyed it as well and I’ve gotten pretty adept in R more than I ever was in Java or Python. The teacher and I have a good relationship now and at first she suggested I switch majors but I’m too deep in my current one to switch I’m on track to graduate December 2024 so instead she suggested I pursue a minor in Statistics and gain the data science certification my university also offers. The thing is at minimum this is going to push my graduation date back at least a year probably a 1.5 years. So I’ve wanted advice on whether people think companies will take me seriously with just a minor and a certificate. I know the field is more lucrative than IT work but I worry just a minor and a certificate won’t be enough to keep up with the competition in the field. So I just wanted to ask advice on what some you guys would do if you were in my shoes.

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Data Science
Any Advice on how to Market Myself?

Hi Everyone. I’m currently a data scientist for a biotech company (~1.5 years of experience). Currently, my role mostly focuses on developing dashboards for preclinical cancer data. It requires an understanding of the underlying datasets to be able to clean, visualize, and show statistical analysis results on these dashboards. The tool of choice for this is mostly R. We have started to investigate machine learning, but I have not personally been involved in developing ML products. I am interested in potentially transitioning to other industries, and was looking for advice on how to market myself in order to this. As a start, I have taken courses on data engineering and MLOps (along with developing projects) to understand these other aspects of DS. I would greatly appreciate any advice.

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Data Science
Where I can find projects to contribute in?

I took courses about pentaho,tableau and machine learning ...where I can find projects with open issues so I can solve it and increase my ability to solve problems in this career ..like open source android or web projects on github with open issues ....is there a specific website for data that I can contribute in and this contribution will have a positive effect in my c.v?

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Data Science
What skills should Data Scientist with 1 YOE is expected to know?

I have completed over one year at my company as a Data Scientist. As a data scientist with master’s degree( in electrical and computer engineering) and 1 YOE, I was thinking about my career progress and was wondering if my learning curve is good or bad.

My experience so far at my company has been

* developing a ML model( text classification model )
* lot of data manipulation and exploratory data analysis using sql , python and excel
* using visualization tools like tableau
* working with clustering algos and neural networks ( these models are existing and I haven’t developed).
But I don’t know model deployment, automation, parallelization and a lot more.

From the conversations in my team, I really feel overwhelmed by the amount of expertise and inputs they have and I do think it is with experience. But sometimes I wonder if I’m just underprepared and I have to improve but don’t know what resources to look at since from the experience I had so far, the code structure and everything is different.

What was your experience ? Any tips and resources anyone can guide to?

Thanks!

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Data Science
Need guidance

I recently completed my data science master's after transitioning from a mechanical engineering background. I've worked on classification, regression, and CNN models using transfer learning. To enhance my employability, I'm learning Power BI and plan to delve deeper into SQL. I've also used ChatGPT for coding assistance. As an amateur coder who often relies on ChatGPT for help, what level of coding and math skills should I aim for to secure an entry-level position in data analysis, data science, or machine learning in the UK?

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KDnuggets
KDnuggets News, October 27: 5 Free Books to Master Data Science • 7 Steps to Mastering LLMs

This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

KDnuggets
7 Steps to Mastering Data Wrangling with Pandas and Python

Starting out on your data journey? Here’s a 7-step learning path to master data wrangling with pandas.

Data Science
[R] Bidirectional Negotiation First Time in India | Autonomous Driving | Swaayatt Robots

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Data Science
Squaring the features before clustering?

Hey data scientist, I have a question for you.

I am working with a dataset with about 10 features. Each is a percentage deviation from some reference value (e.g 10% means that some value is 10% above reference, etc).

Now, based on the domain knowledge specifics, small deviations have virtually no meaning, but larger deviations can be meaningful and should be interpreted by a human expert.

My goal is to cluster these observations and then some domain knowledge expert shall give a label to each cluster (this is more or less the approach).
The challenge here is that the data is hard to separate, meaning that when I visualise it in two or three dimensions (e.g. with UMAP or tSNE), I have a large mass observations that is very central in the chart. The result is that the clusters don't carry a strong enough business meaning.

The question would be: what if I, before clustering, transform the features by squaring them? This should effectively give more weights to the larger deviations and less to the smaller ones. Is it a dumb idea?

Thanks!

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Data Science
Didn't realize how insane the market is

I work at FAANG as a DS manager. Opened up a Data Science position. Less than 24 hours later there were 1000+ applicants.

I advertised the position on LinkedIn

It's absolutely crazy. People have managed to get a hold of my personal and professional email address (I don't have these as public but they're a logical combination of first/last name).

I hired in the past, I have never seen anything like this.

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Data Science
Got a Tesla interview, how do I prep my SQL and Python?

It’s an entry level role and I’m gonna be working on writing “writing extensive SQL and Python queries across datasets”. I’m nervous and rusty. How do I prepare?

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Data Science
Good book on Bayesian statistics?

From the perspective of someone who has absorbed the frequentist approach pretty well, and is comfortable with it, could you recommend a good book on Bayesian statistics?

Ideally with a focus on A/B testing.

Thanks!

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