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Guided analytics are the future of Data Science and AI
Nowadays, people are used to and take it for granted, the added value in their life, from using Siri, or Google’s Assistant or Alexa for all sorts of things: answering odd trivia concerns, inspecting the weather condition, purchasing groceries, getting driving instructions, turning on the lights, and even inspiring a dance celebration in the cooking…
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Machine Learning in the cloud
As artificial intelligence (ML) and also artificial intelligence come to be extra prevalent, data logistics will be vital to your success.While building Machine Learning projects, most of the effort required for success in artificial intelligence is not the algorithm, design, structure, or the learning itself. It’s the data logistics. Perhaps less amazing than these other…
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Predictive Analytics from research and development to a business maker
The start of predictive analytics and machine learning Predictive analytics started in the early 90s with pattern recognition algorithms—for example, finding similar objects. Over the years, things have evolved into machine learning. In the workflow of data analysis, you collect data, prepare data, and then perform the analysis. If you employ algorithms or functions to…
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Personalization – How much do you understand your customer?
Every day we are trying to better understand our customers. Directly or indirectly. Consciously or unconsciously. All marketing activities that are organized for us, all the offers that we receive on our emails, apps, banner ads, billboards on the bus stations, hidden messages in the last movie you watched or message to buy pairing product.…
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Machine learning metrics – Cohen’s Kappa
Data scientists face tons of metrics when we use machine learning. We don’t really need to know the tiny details of every one to make our machine learning models shine. We just need to know the most important metrics to be sure that our machine learning models are performing to their best using our data.
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Cohen’s Kappa
What is Cohen’s Kappa? When two binary variables are attempts by two individuals to measure the same thing, you can use Cohen’s Kappa (often simply called Kappa) as a measure of agreement between the two individuals. Kappa measures the percentage of data values in the main diagonal of the table and then adjusts these values…
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What kind of hacking skills does a data scientist require and how to get them?
I have been asked really often what should I know to become a Data Scientist? I have written before but I’ll try to put again some more info to help the people who really want to go that path. Free Tools can help a lot for start! There are many tools that can help you…
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What skills does a data scientist need and how to get them?
Upgrading your skills constantly is the way to stay on the top. What skills do you need to have to become a Data Scientist? I have written before but I’ll try to put again some more info to help the people who really want to go that path. Free Tools can help a lot to start!…
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Clustering algorithms
What is Clustering? \ Clustering can be considered the most important unsupervised machine learning problem; so, as every other problem of this kind, it deals with finding a structure in a collection of unlabeled data.A loose definition of clustering could be “the process of organizing objects into groups whose members are similar in some way”.A…
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Machine learning – Clustering algorithms
In machine learning, no one algorithm works best for every problem, and it’s especially relevant for supervised learning. For example, you can’t say that neural networks are always better than decision trees or vice-versa. There are many factors you should consider before choosing the machine learning algorithm you will use to solve your challenge.