AI News, Practical data science: Building Minimum Viable Models
- On Wednesday, October 17, 2018
- By Read More
Practical data science: Building Minimum Viable Models
When we talk about innovative services or products, many startups follow a smoother model of development.
For those startups based on data (nowadays, most of them consider their data as a strategic active for the decision making), to find a model that interprets them is a difficult task.
It is the data scientist or the data science team’s task to find that/ those model/s, but finding it/them (determine the modelling technique, setting parameters and adjustment) may be a very long, and sometimes, non-aligned task with the business times.
This working methodology based on minimum and effective models, minimizes the risks in the event the product does not succeed in the market and, therefore, is an obstacle less in regards to the launching.
It is not necessary to develop a prediction algorithm 100% effective and it is not feasible in financial terms. Every sector/project has its “good-enough”: sometimes the priority is a quick response but in other cases the covering is the focus.
Maybe it is better to reduce the scope of the model to the portion of the data where it better works and, in the future, expand the coverage of the model when the startup has better financial resources.
- On Saturday, December 7, 2019
The single biggest reason why startups succeed | Bill Gross
Bill Gross has founded a lot of startups, and incubated many others — and he got curious about why some succeeded and others failed. So he gathered data ...
The key startup metrics from Ideation to Acquisition - Stella Garber, VP of Marketing at Trello
Stella will discuss the challenges and key metrics founders need to focus on based on the stage of their startup. From ideation, fundraising, gaining traction, and ...
Leda Braga: Data science and its role in investment strategy
The CEO of Systematica Investments discusses how her company employs technology to achieve returns. As the first financial services industry speaker at the ...
AI in Marketing
Audience targeting and automatic content creation are just a few of the many ways AI can be used to help grow your user base and increase sales. In this video ...
How data brokers sold my identity | Madhumita Murgia | TEDxExeter
How much of our personal data is held by companies to be traded for profit? Madhumita Murgia decided to investigate and was shocked by what she found out.
The Secret to Building Self-Sustaining Companies and Empowering Employees | Jeff Hoffman
Jeff Hoffman is a serial entrepreneur, published author, filmmaker, motivational speaker, and 2015 grammy recipient. He has founded or co-founded 8 startups, ...
MIT Intelligence Quest Launch: Artificial Intelligence, Artificial Stupidity, and Financial Markets
Andrew W. Lo, director of the MIT Laboratory for Financial Engineering and the Charles E. and Susan T. Harris Professor at MIT, describes his research on ...
James Crabtree: "The Billionaire Raj: A Journey Through India's New Gilded Age" | Talks at Google
James Crabtree, Former Mumbai Bureau Chief of the Financial Times and Associate Professor at the Lee Kuan Yew School of Public Policy in Singapore, ...
Structural estimation methods to model user behaviour in bike-sharing systems - Ashish Kabra
The cities of Paris, London, Chicago, and New York (among many others) have set up largescale bike-share systems to facilitate the use of bicycles for urban ...
The AI Accelerator
AI is expensive and experts are few and far between, but the potential benefits are limitless. How can such a scarce resource scale to become an everyday asset ...