Google Cloud Machine Learning
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
htm.java
Bettor In Green
Alloy Sports
BetDemand
Sharp App: Sports Betting
NeuroBet
Beacon Technologies
The Muse
Grin Gaming
Bettor In Green is the go-to platform for fantasy sports players and sports betting enthusiasts looking to stay ahead of the curve. Get daily betting trends, cheatsheets, and analysis all in one place.
The Bettor in Green team is dedicated to revolutionizing the way sports enthusiasts engage with betting and fantasy sports. Every day, our skilled developers and analysts work diligently to refine and enhance our platform, ensuring that it stands out as a premier tool for those passionate about sports.
One of the most significant features of our platform is its data visualization capabilities. We believe that in the vast world of sports statistics, numbers alone can be overwhelming. That's why we've made it a priority to present data in a way that's both intuitive and insightful. By turning raw data into easy-to-understand tables with color mapping, we empower our users to grasp trends, patterns, and anomalies at a glance.
But our platform goes beyond just presenting data. We're committed to helping our users make smarter, more informed decisions. With our in-depth analysis tools, users can dissect player performances, team dynamics, and historical data to predict future outcomes. This not only increases the chances of placing successful bets but also adds a layer of strategy and depth to the fantasy sports and sports betting experience.
Furthermore, we recognize that the world of sports betting and fantasy sports is constantly evolving. As such, we're always on the lookout for new features, updates, and improvements that can be integrated into our platform.
In conclusion, the Bettor in Green team is more than just a platform; we're a community. A community that thrives on the shared passion for sports, betting, and data. And we're committed to ensuring that every user, whether a seasoned bettor or a fantasy sports newbie, has the tools and knowledge they need to succeed.
Google Cloud Machine Learning Bettor In GreenNo features have been listed yet.
Based on our record, Google Cloud Machine Learning seems to be more popular. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 4 months ago
Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 5 months ago
Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 6 months ago
For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 6 months ago
Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Source: 6 months ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Alloy Sports - Create winning sports betting systems in seconds
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
BetDemand - BetDemand is a Decentralized Finance (Defi) service that pools together cryptocurrencies in a sport event prize pool, allowing users to predict the outcome of a game, giving out cash rewards to the winners without anyone losing money even if they lo…
NumPy - NumPy is the fundamental package for scientific computing with Python
Sharp App: Sports Betting - The Sharp App is a Sports Betting platform that empowers bettors with the tools needed to get an edge in their game.
