Both tactics lead to $50 in your pocket.In most projects, however, the customer who buys two $25 items has better future value than the customer buying one $50 item.Run the analysis for yourself and you’ll come to a comparable conclusion.Every price point has a purpose.Quantity of items purchased has a purpose.Read Full Story
The internet is ripe with millions of customers and billions of dollars in revenue opportunities. However, the process of making sales and/or increasing sales can be arduous, especially in ecommerce. In the online business world, brands are competing with dozens or hundreds of similarly oriented websites in the ecommerce space.Read Full Story
Artificial intelligence is intended to mimic the behavior of humans. However, AI technology can be applied in reverse – it can be used to change human behavior. There are a number of reasons AI can be great for social engineering, especially in the field of marketing.Read Full Story
Around our office, there are a lot of haters of the Gutenberg editor. However, I’ve found quite a few new features that are hard not to like. Here are just a few of them.
The cover block type
Say you’d like to have a background image for your text, like the one below. Just use the COVER block.
Caffe is a great framework for training and
running deep learning networks. However, it does not support weighted samples,
which is when you assign an importance for each sample. A weight (importance)
of 2 should have the same semantics for a sample as if you made a duplicate of
In supervised learning, we are often concerned with prediction. However, there is also the concept of forecasting. Here, I will discuss the differences between the two concepts so that we can answer the question why weather forecasting is not called weather prediction.
Predicion and forecasting Prediction is concerned with estimating the outcomes for unseen data.
Artificial intelligence (AI) has been a buzzword in the industry for the past few years. However, the field of AI actually dates back to 1943, when Alan Turing posed his famous “Turing Test” to see the limits of computational cognition.Read Full Story
In Pandas, one can easily apply operations on all the data using the apply method. However, this method is quite slow and is not useful when scaling up your methods. Is there a way to speed up these operations? And if so, how? Yes, there is! This blog post will explain how you can use […]
The post Scale out your Pandas DataFrame operations using Dask appeared first on Data Blogger.