Dr. Kaylee Beine

293 posts

Dr. Kaylee Beine banner
Dr. Kaylee Beine

Dr. Kaylee Beine

@BeineKaylee

Post-doctoral researcher at University College Dublin Climate change researcher Nature enthusiast

Dublin City, Ireland Katılım Şubat 2020
331 Takip Edilen128 Takipçiler
Dr. Kaylee Beine retweetledi
Zegni Triki
Zegni Triki@TrikiZegni·
Excited to share I will be joining @UniNeuchatel as an assistant professor early 2025. OFFER: 2 #PhDposition in the new lab. #1 is on zoo animals🐺🐒🦧 and saliva hormones, and #2 is on 🐠 cognition and brains 🧠 Deadline 20 Nov 2024 shorturl.at/NYvVd Spread the word 🙏🏽
English
14
53
132
18.4K
Dr. Kaylee Beine retweetledi
GMHughes
GMHughes@GrahamMHughes·
You can check out our project website for more details and our progress at tridubire.github.io
English
0
1
2
134
Dr. Kaylee Beine retweetledi
Happy Researchers
Happy Researchers@hapyresearchers·
Happy Researchers tweet media
ZXX
19
592
4.8K
256.5K
Dr. Kaylee Beine retweetledi
Matt Dancho (Business Science)
The 10 types of clustering that all data scientists need to know. Let's dive in: 1. K-Means Clustering: This is a centroid-based algorithm, where the goal is to minimize the sum of distances between points and their respective cluster centroid. 2. Hierarchical Clustering: This method creates a tree of clusters. It is subdivided into Agglomerative (bottom-up approach) and Divisive (top-down approach). 3. DBSCAN (Density-Based Spatial Clustering of Applications with Noise): This algorithm defines clusters as areas of high density separated by areas of low density. 4. Mean Shift Clustering: It is a centroid-based algorithm, which updates candidates for centroids to be the mean of points within a given region. 5. Gaussian Mixture Models (GMM): This method uses a probabilistic model to represent the presence of subpopulations within an overall population without requiring to assign each data point to a cluster. 6. Spectral Clustering: It uses the eigenvalues of a similarity matrix to reduce dimensionality before applying a clustering algorithm, typically K-means. 7. OPTICS (Ordering Points To Identify the Clustering Structure): Similar to DBSCAN, but creates a reachability plot to determine clustering structure. 8. Affinity Propagation: It sends messages between pairs of samples until a set of exemplars and corresponding clusters gradually emerges. 9. BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies): Designed for large datasets, it incrementally and dynamically clusters incoming multi-dimensional metric data points. 10. CURE (Clustering Using Representatives): It identifies clusters by shrinking each cluster to a certain number of representative points rather than the centroid. There you have it- my top 10 types of clustering every data scientist needs to know. The next problem you'll face is how to apply them to data science to business. I'd like to help. I’ve spent 100 hours consolidating my learnings into a free 5-day course, How to Solve Business Problems with Data Science. It comes with: 300+ lines of R and Python code 5 bonus trainings 2 systematic frameworks 1 complete roadmap to avoid mistakes and start solving business problems with data science, TODAY. 👉 Here it is for free: learn.business-science.io/free-solve-bus…
Matt Dancho (Business Science) tweet media
English
3
333
1.4K
92.4K
Dr. Kaylee Beine retweetledi
Koenraad Van Meerbeek
Koenraad Van Meerbeek@K_VanMeerbeek·
🚨Job alert: Postdoc position in Ecology 🚨Exciting Opportunity! We are hiring a postdoctoral researcher for the MICROMICS project. Join us to explore how #microclimate shapes adaptive evolution and dispersal dynamics of forest plants! shorturl.at/8AuWf
English
0
115
163
19.7K
Dr. Kaylee Beine retweetledi
Sch. Biol. & Env. Sc
Sch. Biol. & Env. Sc@UCDSBES·
#JobFairy Funded PhD position. Title: Drivers and mechanisms of ecological resilience in freshwater ecosystems
Sch. Biol. & Env. Sc tweet mediaSch. Biol. & Env. Sc tweet media
English
1
12
9
2K
Dr. Kaylee Beine retweetledi
Katharina Ruthsatz
Katharina Ruthsatz@KRuthsatz·
Liam Connell talking about his research on transgenerational plasticity in the marine ragworm to current and future experimental ocean conditions in the A17 session at #sebconference @SEBiology
Katharina Ruthsatz tweet media
English
0
4
11
700
Dr. Kaylee Beine retweetledi
Lauric_Feugere
Lauric_Feugere@LFeugere·
Our Transgenerational Plasticity session is starting in the Zenith room, come see lots of exciting talks today at #SEB24
Lauric_Feugere tweet media
English
0
5
12
818
Dr. Kaylee Beine
Dr. Kaylee Beine@BeineKaylee·
@YountLabOSU I use Inkscape, illustrator is better, but Inkscape gives you .svg files that you can go back and edit more later
English
0
0
1
24
Jacob Yount
Jacob Yount@YountLabOSU·
What software is everyone using for generating high res publication figures? We recently made the switch from Powerpoint to Illustrator, but the university is canceling our Adobe subscription and a monthly fee for everyone in the lab isn't gonna work. 🥲😡😩
English
156
30
297
229.5K