Our focus for this piece is to establish the best practices that make an ML project successful. Originally from KDnuggets https://ift.tt/36YSdg2 source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-best-practices-for-putting-machine-learning-models-into-production
Author Archives: 365Data Science
3 minute read to How to find optimal number of clusters using K-means Algorithm
Usually in any K-means clustering problem, the first problem that we face is to decide the number of clusters(or classes) based on the data. This problem can be resolved by 3 different metrics(or methods) that we use to decide the optimal ‘k’ cluster values. They are: Elbow Curve Method Silhouette Score Davies Bouldin Index Let us take aContinue reading “3 minute read to How to find optimal number of clusters using K-means Algorithm”
Can machine learning speed up UX research analysis?
A new experiment from the Evolve team Human + AI is a powerful combo In the future, I see operators guiding groups of algorithms: it will be a time when machines will be able to generate their own knowledge based on human-produced frameworks … Human plus machine means finding a better way to combine better interfaces and betterContinue reading “Can machine learning speed up UX research analysis?”
Sentiment Analysis in 3 Minutes Intro to Natural Language Processing.
“Perl was designed to work more like a natural language. It’s a little more complicated but there are more shortcuts, and once you learned the language, it’s more expressive.” When I initially heard of the term Natural Language Processing, I was like “Wait what….. how is it possible that machines can understand and interpret whatContinue reading “Sentiment Analysis in 3 Minutes Intro to Natural Language Processing.”
How to be a 10x data scientist
If you are a Data Scientist looking to make it to the next level, then there are many opportunities to up your game and your efficiency to stand out from the others. Some of these recommendations that you can follow are straightforward, and others are rarely followed, but they will all pay back in dividendsContinue reading “How to be a 10x data scientist”
Top Stories Oct 5-11: A step-by-step guide for creating an authentic data science portfolio project; 10 Best Machine Learning Courses in 2020
Also: Free Introductory Machine Learning Course From Amazon; How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems; A step-by-step guide for creating an authentic data science portfolio project; Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science Originally from KDnuggets https://ift.tt/3lH9VsH source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-oct-5-11-a-step-by-step-guide-for-creating-an-authentic-data-science-portfolio-project-10-best-machine-learning-courses-in-2020
Exploring The Brute Force K-Nearest Neighbors Algorithm
This article discusses a simple approach to increasing the accuracy of k-nearest neighbors models in a particular subset of cases. Originally from KDnuggets https://ift.tt/2GV30Nh source https://365datascience.weebly.com/the-best-data-science-blog-2020/exploring-the-brute-force-k-nearest-neighbors-algorithm
Interview with Vladimir Ninov, Head of Organic Growth at 365 Data Science
Vladimir Ninov, Head of Organic Growth at 365 Data Science Vladimir Ninov is a marketing professional and Head of Organic Growth at 365 Data Science with rich experience in PR, growth hacking, and fintech. He holds a Master’s degree in Business Administration and has founded several companies, including a consultancy firm, a PR agency, andContinue reading “Interview with Vladimir Ninov, Head of Organic Growth at 365 Data Science”
Annotated Machine Learning Research Papers
Check out this collection of annotated machine learning research papers, and no longer fear their reading. Originally from KDnuggets https://ift.tt/3nCylW6 source https://365datascience.weebly.com/the-best-data-science-blog-2020/annotated-machine-learning-research-papers
Algorithms of Social Manipulation
As we all continuously interact with each other and our favorite businesses through apps and websites, the level at which we are being tracked and monitored is significant. While the technologies behind these capabilities provide us value, the tech companies can also influence our decisions on where to click, spend our money, and much more.Continue reading “Algorithms of Social Manipulation”
