Artificial Intelligence

“Artificial Intelligence has some top conversational AI trends 2021 that will rule this year. Find out these top conversational AI trends in this blog”.In 2020, we saw an incredible hike in the conversational artificial intelligence world due to the global pandemic COVID-19. There is a change in vendors, industries, and customers’ prospects towards this technology that is … [Read more...] about The Top Conversational AI Trends To Watch out In 2021

The increasing complexity of IoT implementation scenarios and the number of actors involved in end-to-end IoT development efforts within a company have brought unprecedented challenges. The scope, depth, complexity, and ubiquity of these challenges are surpassing traditional ways of problem-solving. Further still, the unprecedented nature of these challenges calls not only for … [Read more...] about IoT Collaboration: The New Power in the Internet of Things

A fried egg made by supercomputers is being developed. Trillions are being invested, and the brightest brains of our generation are being wracked with it. Because for mankind, it looks like it’s going to be easier to produce artificial fried eggs than the old-fashioned ones. Or I don’t know why.Is there anything more supreme in creation than a good fried egg from a free-range … [Read more...] about Reinventing the cyber-fried egg

Can machines replace the human creativity? It’s a question that was never asked before the advanced computer networks became available to process data. If you ask this question today, chances are you will get a “No way” answer. After all, machines have no consciousness and can’t be creative on their own. Or can they? Yes, they actually can!Machines have the ability to replace a … [Read more...] about Can Machines Replace Human Creativity?

Boolean ArrayLastly, we can use an array of boolean values. However, this array of boolean values must have the same length as the axis we are using it on. For example, our ufo dataframe has a shape of (18241, 5) according to the shape attribute we used above, meaning it has 18241 rows and 5 columns.So if we want to use a boolean array to specify our rows, then it would need to … [Read more...] about Master The Loc Method in Pandas

Selon une étude menée par l’ University of Copenhagen publiée dans Scientific Reports, l’intelligence artificielle est capable de prédire qui est le plus susceptible de mourir du coronavirus. Ce faisant, il peut également aider à décider qui devrait être en première ligne pour les précieux vaccins actuellement administrés à travers le Danemark.Depuis la première vague de la … [Read more...] about Un modèle informatique peut déterminer qu est susceptible de décéder de la COVID-19

Data is availableA common misconception is you’ll always have data you need to do your analysis. You may think this is a given but even large companies where the data infrastructure is mature doesn’t house all the data necessary. Data can be scattered across databases or have no common keys to join together. I worked for a company that didn’t store email campaign data in the … [Read more...] about What You Should Know Before Starting a Career in Data Analytics

This film allows for a real emphasis on advanced technology which a modern audience are now much more aware of due to it’s digital platform and publicity. Alongside the empowerment of the female gender and the intelligence of AI, we get a real feel for what it would feel like to have this control and fear yet intrigue of what we create to one day take over human life.When we … [Read more...] about Ex Machina Review

A Beginner’s Guide to NLP and Transfer Learning in TF 2.0Hugging Face and TensorFlow 2.0. SourceCreating high-performing natural language models is as time-consuming as it is expensive. After all, it took the team behind Google Brain 3.5 days on 8 Tesla P100 GPUs to train all 340 million parameters of the famous BERT-large model, and ever since its inception in 2018, natural … [Read more...] about Hugging Face Transformers: Fine-tuning DistilBERT for Binary Classification Tasks

Choose the right metricThat leads us to making sure we use an appropriate metric to measure the performance of our model. From what we saw earlier, accuracy would not be an appropriate metric for this use case precisely because so many of our dataset entries fall into a single class. Let’s take a look at a few alternatives.Precision — Precision is the number of correctly … [Read more...] about 3 Tips for Working with Imbalanced Datasets