Knowing how a customer responds to a sales campaign is essential in evaluating it’s rollout. However, it'd be much better if all of this was pre-emptive: knowing the likelihood of a customer responding to a campaign before we’ve even rolled it out to them.
Here’s a quick introduction to the platform, and simple steps to deploy your very own neural network to predict real estate prices in Boston — from getting the dataset to forecasting, this tutorial covers it all.
Wouldn’t it be pretty cool if you could make your own review rating algorithm, in simple HTML & JS without worrying about the tedious ML backend infrastructure? That’s exactly what we’re gonna do in this tutorial — build an ML algo which gives ratings to reviews (1–5) in a jiffy.
There’s a lot of resources out there for machine or deep learning in JS: from brain.js to tensorflow.js, yet it’s always to good to know what’s happening behind the scenes, even if it’s only a glimpse.
As new data comes in, you should periodically retrain your model and make it better. The tutorial describes a two step process by which you can make this happen.
We explore how AI is impacting business, through our experiences and understanding of building an AI product for the masses. First part of a three part series.
Complex predictive algorithms can be built using health data and this can save countless lives. Using Hazlo.ai you can easily build AI algorithms to predict diabetes and a range of other diseases.
Hazlo has been built keeping in mind frequent use-cases of startups and, churn prediction is our forte. So just follow the simple steps given in the Tutorial and build a robust churn prediction model, in seconds.
All firms, from early-stage startups to mature businesses, want to know how much they’d be selling in the future. Get it done with Hazlo without coding, statistics or even data science.
The easiest way to make technology ubiquitous is to make it affordable. There is a crucial price point, below which adoption rates skyrocket. Learn how hazlo is playing a part in making AI more affordable.
We have been fortunate to find amazing partners, who have helped us build Hazlo line by line. As we move ahead our focus shifts from building the best AI to building the most accessible AI. Learn how we are taking our best step forward.
Large ML models that require mountains of data are not of use to early-stage firms. Hazlo deals with broken, fragmented datasets that are not ML-ready. Learn why less is more when it comes to the future of AI.
With AI applications and algorithms growing at an exponential rate, we’re about to hit a real, physical limit in how fast we can run our models. Learn more about how neuromorphic computing is helping solve quantum tunneling.
For our friends in Fintech, assessing the probability of default on credit is crucial. Hazlo is proficient in predicting credit default based on past user data; the best part, no-code all the way!
Accessibility is the name of the game. Hazlo allows you to train to get predictions from directly from Slack & Discord — all in natural language.
Most platforms that gather reviews from customers require spam classification to weed out unwanted text. Using Hazlo.ai you can easily build a spam classifier, in a matter of seconds. All without any knowledge of code, NLP or data science.
Hazlo is built to help startups solve their data problems with new-age AI. The power of bleeding-edge machine learning, at your fingertips.
Businesses have a hard time thinking about AI as a core of operations to increase business value rather than a mere source of innovation...
Extremely robust infrastructure which works with fragmented datasets. Designed for power-hungry algorithms, deployed at scale