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24 Topics

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debstCommunity Member
asked in Getting started

Data Science internships/apprenticeship

Hi Team,I am currently pursuing Masters in Data Science at the University of Manchester and due to graduate in September-2022. I am looking for a DS internship to grasp the real-world problem-solving aspect of Data Science. I have some knowledge of it as part of assignments and coursework, but that’s not enough to get me started or be hired for a direct recruit role in Data Science. I want to experience hands-on training and land a Graduate/Junior role in the same, which can be possible via an internship. Kindly let me know if Peak offers any remote internships or similar learning opportunities.Looking forward to learning more,Thanks and regards,Debashree Tripathy

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D
13 hours ago
liammccaffrey
liammccaffreyCommunity Manager
posted in 2022

Ask Me Anything: Katie King

Live on Thursday 7 July 2022 at 12:00 BST Katie King is a published author, keynote speaker, trainer and consultant on Artificial Intelligence (AI), digital, STEM, leadership and business transformation.Katie has over 30 years of consulting experience and has advised many of the world's leading brands and business leaders.AuthorHer first book, Using Artificial Intelligence in Marketing: How to Harness AI and Maintain the Competitive Edge, was translated into Russian, Chinese, Vietnamese & other languages. It was also listed as a reference source in the 'brand strategy' section of the World Economic Forum's Empowering AI Leadership AI toolkit for corporate boards.Her second book was published by Kogan Page in January 2022: AI Strategy for Sales and Marketing: Connecting marketing, sales and customer experience.AdvisorKatie is a member of the UK Government All-Party Parliamentary Group (APPG) task force for the adoption of AI.  She is also an Editorial Board Member for the AI and Eth

0
liammccaffrey
16 hours ago
E
EvolvingRichieActive Contributor
asked in Communication and Visualization

Is there any meaningful difference between an AB test and a scientific experiment?

Is the data science term “AB test” just a rebranding of what scientists have been calling “an experiment” for hundreds of years?

0
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16 hours ago
ruaridhgeorge
ruaridhgeorgeFrequent Visitor
posted in Q&A

Biggest mistake whilst learning data science

I’d like to hear everyone’s biggest mistake, regret or oversight as they were learning data science. Hopefully we can learn from eachother’s experiences and help people currently starting to learn data science!

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3 days ago
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EvolvingRichieActive Contributor

Recomendation: Excellent book on data cleaningNew

Most of the way through “The beginners guide to clean data” and loving it! Such a broad book, covering all aspects of data cleaning. Written in short, clear, digestible sections.There’s a free version here, but you can buy an E-book copy (which I did the support the author, it’s just that good)https://b-greve.gitbook.io/beginners-guide-to-clean-data/

0
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3 days ago
ChrisBillingham
ChrisBillinghamCommunity Manager
asked in Q&A

What's the one thing you wish you knew?

Looking back on your career as a DS and how you got into the role, whats the one thing you wish you knew right at the start that would’ve made becoming the amazing DS you are now easier?

2
S
6 days ago
F
FazilActive Contributor
posted in Data Science Modelling

Monte Carlo Simulations

  Consider a scenario where you're expected to solve a very tricky probability problem but you don't know how to solve it or another scenario where the probability problem requires a specific domain knowledge in which you're not an expert. Monte Carlo Simulation will come to your rescue in such scenarios, it is a method in which we simulate the random experiment using computational algorithms. It is usually a much simpler method to find the required probability compared to the theoretical (or mathematical) methods, however it is not as accurate as the mathematical method and it can be slow & computationally expensive.Lets understand Monte Carlo Simulation using examples!Lets start with one of the simplest and most commonly sited example of Monte Carlo Simulation and once we get a hang of it. We'll solve a tricky problem using the same technique.https://www.linkedin.com/posts/fazil-mohammed-4062711b2_monte-carlo-simulations-activity-6945626961729712128-tcgU?utm_source=linkedin_share

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F
6 days ago
liammccaffrey
liammccaffreyCommunity Manager
posted in 2022

Ask Me Anything: Helen Craven

Live on Tuesday 21 June 2022 at 12:00 BST  Ask Me Anything with Helen Craven, graduate data scientist at Peak. joins us for an Ask Me Anything (AMA) session.  Introducing our guest: Helen Craven You’ve qualified, motivated and ready to be a data scientist. But how do you land your first role? Helen Craven is here to help.Helen joined Peak as a graduate data scientist just over two months ago and she’s been doing great things with data ever since. She’s the perfect person to put your early career data science questions to.How do you find entry-level roles? What does a great data science CV look like? Whatever your question, join Helen at 12:00 BST on Tuesday 21 June 2022 to ask her anything. Submit your questions Whatever your question, you can submit your questions now below and then join us on Tuesday 21 June 2022 to be a part of the discussion.

32
HelenCraven
8 days ago
tomtom
tomtomActive Contributor
posted in Data Science Modelling

Forecasting is Snow Joke

❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️Research Collection ThreadThread of the coolest papers in forecasting ⛄️🌨️️️️🌨️️️️Add any hot forecasting research you come across! 🔥🔥🔥Please add a TLDR, a link to the paper, and ideally any relevant code base.❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️❄️ 

3
tomtom
12 days ago
F
FazilActive Contributor

Centroid Vs Geometric MedianNew

In clustering algorithms like K-Means there's a commonly quoted example which goes as follows. Imagine there are 5 clusters of people, as a business owner we need to open 5 new food joints in order to cater to these people. K-Means helps us in strategically placing our food joints in such locations so as to reduce the overall time spent by these people to commute to the nearest joint (For simplicity, we're going to ignore the fact that the path between any 2 points in real world is rarely a straight line).Though this helps us a great deal to wrap our head around the concept of K-Means, it is technically wrong. Centroid minimizes the sum of squares of distances of all the points from it which is not equivalent to minimizing the sum of distances of all the points from it. The point which minimizes the sum of distances of all the points from it is called the geometric median. Centroid (or mean) is very easy to compute, we just have to add all the points (vector addition) and divide it by

0
F
12 days ago
H
HollyTraynorFrequent Visitor
asked in Communication and Visualization

Google Slides or PowerPoint?

This might be a bit old school, but what is your preference for visualisation and communication between Microsoft PowerPoint and Google Slides? I’ve used both, I like the amount of tools Google Slides provides, however I think PowerPoint has an overall better user experience. What do you think?

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Wes Raynbird-Tilbury
15 days ago
K
KrisCoombesCommunity Member
published in Communication and Visualization

How do you standardise charts?

What’s your favourite programming language or package for making charts? Do you have any top tips for standardising charts so they're always consistent?Read about my take on this in this blog!

551
Wes Raynbird-Tilbury
15 days ago
F
FazilActive Contributor
asked in Data Science Modelling

A serious misconception about the very first principal component!

The First Principal ComponentPCA is the most popular dimensionality reduction technique (IMHO it is basically a data transformation technique, viewing the same data using a better choice of coordinate system). In this write up, we're going to clear a common misconception about the very first principal component.In almost every lecture or article explaining PCA, they refer to the first principal component as the 'line of best fit' for the data (not that I completely disagree). They mention the above statement as a passing remark, but 'line of best fit' is a hyperbole we commonly use in the context of OLS, do they actually mean it in that sense? (some people do mistake it to be in the sense of OLS method, which is wrong on so many levels). This statement warrants a clear explanation without which it can lead to serious misconception. Lets first see where this particular idea stems from.You can find the full writeup and notebook here https://www.linkedin.com/posts/fazil-mohammed-4062711b2

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F
20 days ago
liammccaffrey
liammccaffreyCommunity Manager
posted in 2022

Ask Me Anything: Fern Pearston

Join Fern Pearston, beef genetics data analyst at Genus ABSfor our next Ask Me Anything (AMA) session When: Thursday 9 June 2022 at 12:00 BSTWhere: Questions and answers posted in this discussionIntroducing our guest: Fern Pearston Fern started her career as a Data Technician at Scotland's Rural College (SRUC) and from there moved to the Agriculture and Horticulture Development Board) AHDB to the role of animal genetics manager in 2014.  During her time at AHDB she helped roll out genetic evaluations for new traits in the UK, further developed AHDB Dairy’s online tool, the Herd Genetic Report, and assisted the UK herdbooks to maximise the use of genetic and genomic information. In November 2021 Fern started at Genus as their EMEA Beef Genetics Data Analyst, assisting the T14 and T15 genetic evaluations for the use of beef on dairy and also supports the development of new programmes for the business. Submit your questions Got questions about data, working in a similar field, moving from

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F
20 days ago
E
EvolvingRichieActive Contributor
asked in Data Science in Practice

Should parquet be the default for storing large data?

Mostly people store data in CSV, but sometimes the data can be so large it takes a long time to read in. I hear that because they are smaller, parquet files are faster to read in, letting you get into the data faster. the downside I guess is that you can’t quickly open the file in excel to check something, but for most big data you’ll rarely do that anyway. Assuming:I have some large data files that I use regularly they are about 3 million rows so can be slow to read in I never need to open them in excelWhen shouldn’t I be using parquet?

1
ChrisBillingham
23 days ago
F
FazilActive Contributor
asked in Questions and ideas

My take on cluster formation

Like any other ML algorithm, KMeans clustering also has its own set of pros and cons. Here we're going to discuss a specific kind of disadvantage of this algorithm which is the fact that what appears to be a 'natural cluster' for a human eye is not necessarily what appears to be a cluster from a machine's perspective. #ml #clustering #kmeans #machinelearning #datascience #unsupervisedlearninghttps://www.linkedin.com/posts/fazil-mohammed-4062711b2_understanding-cluster-formation-in-kmeans-activity-6938104670510809088-YGhl?utm_source=linkedin_share&utm_medium=member_desktop_webI couldn’t find an option to upload the pdf. Hence I shared the above link of my post in linkedin

1
E
23 days ago
Wes Raynbird-Tilbury
Wes Raynbird-TilburyActive Contributor
posted in Communication and Visualization

Formatting shiny webapps 💡

I’m looking for tips on how to best format shiny webapps and their linked components!  Beyond a css file (Cascading Style Sheets), which describes how HTML elements are to be displayed, I can’t find a good way of applying formatting to shiny webapp elements. For instance, formatting a valuebox element by changing font sizes/styles, switching the output value with the descriptive text/title and moving anys symbols from the bottom left to the top right hand corner.Does anyone have any tips on easily applying formatting, or some good go to resources on css files?

5
N
27 days ago
liammccaffrey
liammccaffreyCommunity Manager
posted in Content

How to pass data science exams and assessments

It’s the time of year when many will have either finished their exams/assessments or will be approaching them. If only Uncle Ben could’ve been there to help Peter with his exams...No matter how much work you’ve put into your revision or coursework, stress is part of the programme. But you don’t have to be alone. Whether you’ve just submitted your paper, you’re approaching an exam or you’ve just finished either — let’s talk.  How do you pass assessments?Undergraduate, masters, cloud certification or any other course — it doesn’t matter:  Have you already done all  exams and assessments? How did you get through them? Share the love/knowledge Got an exam or assessment coming up? Any topics/questions you’re struggling with? Ask here Are you one of those people who aren’t struggling at all? How? Please tell us how!! 🙏🏻 Have you been procrastinating, doing almost everything but revision? Ask the Community for tips on how to overcome procrastination Have you just finished an exam or

4
HelenCraven
27 days ago
sarah
sarahActive Contributor
asked in Q&A

How do I get a job in Data Science after a PhD?

Many people leave academia for a role in data science, often from a wide variety of subject areas. Did you make the move from academia into data science? What did you find easy/hard about the transition? Is there any advice you’d give to others in a similar position? I’ve written a blog on this topic if you want to read my take! 

6
ryan_hunt
28 days ago
D
darianraadFrequent Visitor
asked in Data Science in Practice

What are the greatest challenges or blockers to implementing AI solutions in businesses?

We all want to build data science solutions that get used by customers to make substantial improvement to their organisational processes. But sometimes even the best solutions with incredible technical fundamentals can fail at the acceptance or implementation phasesWhat are the biggest challenges and blockers to implementation?And what (if anything) can be done about them?One example is when the major stakeholder just doesn’t agree with or understand what you’re doing, and no amount of explanation is helping (yes, models are imperfect representations of reality. No, prediction outliers are not as important as you’re making them out to be: look at the typical behaviour and overall KPI uplift). It sometimes helps if you can find another senior stakeholder that this person trusts to buy into the project. Another potential route is to get the end users to fall in love with how much more productive and happy the solution is going to make them. There is a huge opportunity cost in trying to c

1
liammccaffrey
29 days ago
BenLawson
BenLawsonActive Contributor
posted in Data Science in Practice

How do People organise their code?

Hey Community, Just something I’m curious about, how does everyone go about organising their code when they’re working on a solution?I’m currently using a system where I have a R script that will never see the light of day🚮. I write code in it to the point it functions correctly. Then when it achieves the desired effect, I implement it into a package for the project, which I then use for testing/putting into production. I was wondering if anyone else had other ways of working I could try, or any weird ways of making code 

3
M
30 days ago
BenLawson
BenLawsonActive Contributor
asked in Data Science in Practice

How do you add vertical gridlines between columns in the formattable R package?

I’m trying to make a copy of a visualisation of a table from Excel in R so that it can be automated as the original version is very labour intensive. From a google it seems formattable is the best package to achieve this, but I can’t find any documentation for adding lines between columns. Does anyone have experience with this package, and know how to do that?

5
M
30 days ago
lara
laraActive Contributor
posted in Communication and Visualization

Choosing suitable plots for presenting results

In my first year as a PhD student, I made the massive mistake to choose the wrong type of plot to present some results to my supervisor. Obviously, that constructive feedback is stuck into my mind and I’ll never forget it now:Having great results is not enough, I also need to choose the right plot to present them. In the meantime, I found this chart that I wish I had back then. I think it helps quite a lot when deciding which plot to use depending on your data.Have you ever chosen the wrong type of plot to present your results? 😅

2
SorchaGilroy
30 days ago
F
FazilActive Contributor

K-means clustering algorithm from scratchNew

I've implemented vanilla k-means clustering algorithm from scratch :)https://github.com/Fazil-Math/k-means_clustering_from_scratch/blob/main/KMeans%20Clustering%20Algorithm%20From%20Scratch%20(3d%20version).ipynb

2
F
30 days ago

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