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11 results Category: Year:10 Consejos para Convertirte en un Científico de Datos Exitoso
La ciencia de datos llegó para quedarse. Los científicos de datos utilizan sus habilidades para ayudar a las empresas a tomar mejores decisiones sobre sus productos, servicios, a optimizar procesos, ahorrar y mejorar rentabilidad. Convertirse en un científico de datos de éxito implica muchos aspectos y el estudio continuo, ya que es un...
Read moreH2O.ai Tools for a Beginner
Note : this is a community blog post by Shamil Dilshan Prematunga . It was first published on Medium .Hey, this is not a deep technical blog. I’d like to share the experience I had with H2O tools when I was studying Machine Learning. As a Research Engineer, I am currently working on an area based on Telecommunication. Day by day with my e...
Read moreMitos e verdades sobre o AutoML
Todas as revoluções que tivemos até hoje, tanto as tecnológicas quanto industriais, possuem uma semelhança: elas estão ligadas à forma como os seres humanos lidam com as máquinas. Antes, os processos eram feitos de forma muito manual e, com o tempo, acabaram sofrendo uma evolução natural voltada para a automação. Com o aprendizado de máqu...
Read moreAI & ML Platforms: My Fresh Look at H2O.ai Technology
2020: A new year, a new decade, and with that, I’m taking a new and deeper look at the technology H2O.ai offers for building AI and machine learning systems. I’ve been interested in H2O.ai since its early days as a company (it was 0xdata back then) in 2014. My involvement had been only peripheral, but now I’ve begun to work with this comp...
Read moreHow to Effectively Employ an AI Strategy in your Business
Artificial Intelligence has evolved from being a buzz word to a reality today. Companies with expertise in machine learning systems are looking to graduate to Artificial Intelligence-based technologies. The enterprises that do not yet have a machine learning culture are trying to devise a strategy to put one in place. Amidst t...
Read moreBuilding an Interpretable & Deployable Propensity AI/ML Model in 7 Steps…
To start with, you may have a tabular data set with a combination of: Dates/Timestamps Categorical Values Text strings Numeric Values A business sponsor wants to build a Propensity to Buy model from historical data.How many Steps does it take? Let’s find out. We are going to use H2O’s Driverless AI instance with 1 GPU (optional...
Read moreBuilding AI/ML models on Lending Club Data, with H2O.ai — Part 1
Lending Club publishes its basic loan databases to the public and a full version to its customers — anonymized of course. You can find the download page from this link (screenshot below): The publicly downloadable loan data has various attributes — roughly 150+ columns that have categorical, numeric, text and date fields. It also has a ‘...
Read moreWhat Business Leaders Need to Know About AI
The interest around artificial intelligence (AI) is at an all-time fevered pitch right now, and it’s important to understand why.AI can solve real business problems and address very complex situations. Organizations and business leaders should start with the idea of how AI can help by identifying a business problem or use case that they c...
Read moreWelcome H2O.ai's Driverless AI Community!
I am very excited to announce the formation of the inaugural community for H2O Driverless AI users. The Driverless AI Community is open for anyone looking to engage with other users as well as experts from H2O.ai’s Driverless AI, Driverless AI is an award-winning automatic machine learning platform that does “AI to do AI” to solve re...
Read moreHow This AI Tool Breathes New Life Into Data Science
Ask any data scientist in your workplace. Any Data Science Supervised Learning ML/AI project will go through many steps and iterations before it can be put in production. Starting with the question of “Are we solving for a regression or classification problem?” Data Collection & Curation Are there Outliers? What is the Distribu...
Read moreH2O for Inexperienced Users
Some background: I am a rising senior in highschool, and the summer of 2018, I interned at H2O.ai. With no ML experience beyond Andrew Ng’s Introduction to Machine Learning course on Coursera and a couple of his deep learning courses, I initially found myself slightly overwhelmed by the variety of new algorithms H2O has to offer in both ...
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