Weβre thrilled to announce the VN2 Inventory Planning Challenge β the first public inventory planning datathon!
π β¬18,000 prize pool
Leading supply chain professionals π β and with amazing sponsors @SupChains,@FlieberInc, Daybreak.ai
πdatasource.ai:443/en/home/daβ¦
Data-driven creativity blends artistic vision with data science insights, revolutionizing video content creation.
This approach transforms data into a guide for crafting engaging and relevant content.
1/ π§΅ Dive into the world of #AI in unstructured data mining! π In today's digital era, we produce vast amounts of data daily, categorized as structured and unstructured. The latter holds immense untapped potential. Let's explore the challenges and opportunities! π #DataScience
π MIT researchers have developed GenSQL, a generative AI tool that enhances database searches! This innovative extension of SQL combines probabilistic programming with traditional searches, allowing for complex queries and predictions. ππ
#AI #Database #TechInnovation #MIT
π§΅ Let's talk about evaluating #MachineLearning models! π Ensuring your models perform well on unseen data is crucial for success. Here are some key metrics you need to know. #DataScience #AI #ModelEvaluation
π Looking to advance your career in Data Science?
Here are the top 2 online courses for 2024 that can help you master the skills needed to excel in this rapidly growing field.
#DataScience
Are you thinking about using deep learning for your next project? π€ While powerful, sometimes it might not be the best choice.
Here are some situations where you should consider avoiding deep learning. #DataScience #MachineLearnirning
Poisson Distribution: Useful for modeling the probability of a given number of events happening in a fixed interval. Perfect for count-based data! π’ #PoissonDistribution
Box-Cox Transformation: Transform your data to make it more normal. This technique helps in stabilizing variance and making the data more suitable for modeling. π #BoxCox










