louisdorard

5 ms·

1.
The investor's approach to Machine Learning projects(louisdorard.com)
2 points by louisdorard 6y ago|0 comments
2.
Architecture of a real-world Machine Learning system(medium.com)
1 points by louisdorard 6y ago|0 comments
3.
5 Challenges to Running Machine Learning Systems in Production(mlinproduction.com)
10 points by louisdorard 6y ago|0 comments
4.
An overview of Machine Learning development platforms(linkedin.com)
2 points by louisdorard 6y ago|0 comments
5.
by louisdorard 8y ago
I created the Machine Learning Canvas to make it easier to ask the right questions at the beginning of an ML project, and to save people from wasting time and money due to a poor design of their ML system. I’m now releasing the first draft
6.
The Machine Learning Canvas – template and handbook (free download)(medium.com)
2 points by louisdorard 8y ago|1 comments
7.
From Data to AI with the Machine Learning Canvas(medium.com)
2 points by louisdorard 10y ago|0 comments
8.
What developers actually need to know about Machine Learning(stories.papis.io)
2 points by louisdorard 11y ago|0 comments
9.
What Future for the AI Behind Google DeepMind’s AlphaGo?(medium.com)
2 points by louisdorard 11y ago|0 comments
10.
Trusting AI with important decisions: capabilities and challenges(medium.com)
3 points by louisdorard 11y ago|0 comments
11.
by louisdorard 11y ago
You've probably heard about Amazon Machine Learning or Google Prediction API or BigML, but as a developer, how do you choose one of these APIs when you want to integrate ML in real-world apps?
12.
How to choose a machine learning API to build predictive apps(medium.com)
1 points by louisdorard 11y ago|1 comments
13.
by louisdorard 11y ago
Most of them can. I have a doubt for Google Prediction, need to check... Also with BigML you get a decision tree model which allows to "explain" predictions with a list of decisions based on the values of the fields (see #3 on ht
14.
by louisdorard 11y ago
Have you guys been able to try both and compare them?
15.
Amazon Machine Learning vs. Google Prediction API (and Competitors)(louisdorard.com)
2 points by louisdorard 11y ago|4 comments
16.
Open source machine learning templates for e-commerce(blog.prediction.io)
1 points by louisdorard 12y ago|0 comments
17.
Ways that Data Science can improve your business(louisdorard.com)
1 points by louisdorard 12y ago|0 comments
18.
PAPIs.io 2014 Call for Proposals – Predictive APIs and Apps(papis.io)
1 points by louisdorard 12y ago|0 comments
19.
Questions you should ask about prediction APIs(programmableweb.com)
2 points by louisdorard 12y ago|1 comments
20.
Building a real estate pricing model with BigML(louisdorard.com)
3 points by louisdorard 12y ago|0 comments
21.
How to predict abstention rates with open data(louisdorard.com)
3 points by louisdorard 12y ago|0 comments
22.
by louisdorard 12y ago
Hey Dan, I've written a book about services that abstract away the complexities of ML: http://louisdorard.com/machine-learning-book I can use all the help to educate people to ML and what they could be building :) Let
23.
by louisdorard 12y ago
I agree that making the magic black box is very hard. Automatic model selection, at scale, requires a lot of processing power. My take is that Azure "just" makes it easier/quicker to run ML experiments, and to deploy models.
24.
by louisdorard 12y ago
Sounds very exciting! This space is getting a bit crowded though (see http://www.quora.com/Who-are-the-main-competitors-to-the-Goo... ). How would you differentiate Datapal from competitors such as BigML, Predictobot, etc.?
25.
by louisdorard 12y ago
The main difference between Google Prediction and Azure ML is that the former doesn't require any knowledge of machine learning algorithms, whereas the latter does. Google Prediction automatically selects the best algorithm based on th
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How to improve your subscription-based business by predicting hurn(blog.kissmetrics.com)
6 points by louisdorard 12y ago|2 comments
27.
Optimizely Acquires Machine Learning Startup Synference(finance.yahoo.com)
3 points by louisdorard 12y ago|1 comments
28.
by louisdorard 12y ago
> "this is more in line of those graphical tools that claims you can create programs without having to learn programming" There's a comparison to be made with graphical tools that let you create websites without knowing ht
29.
by louisdorard 12y ago
Have you tried using BigML? (which to me is extremely similar to what Azure ML is pitching)
30.
by louisdorard 12y ago
Prediction.io needs a server to run on, and it focuses on recommendation problems, so it doesn't seem to do classification and regression for instance.

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