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Machine learning for business: formulas or intuition?
Ai and societyData science

Machine learning for business: formulas or intuition?

Many applications of machine learning in business are complex, but we can achieve a lot by scoring risk on an additive scale from 0 to 10.

What is natural language processing with examples?
Data scienceHealthcare and pharma

What is natural language processing with examples?

Natural language processing (NLP) is the science of getting computers to talk, or interact with humans in human language. Examples of natural language processing include speech recognition, spell check, autocomplete, chatbots, and search engines.

How similar are Neural Networks to our Brains?
Data science

How similar are Neural Networks to our Brains?

There are many differences between deep neural networks and the human brain, although neural networks were biologically inspired. When was the last time you looked at a picture of an animal, bird or plant, couldn’t place it straight away and were left flabbergasted?

Trends in Sentiment Analysis
Data scienceNatural language processing

Trends in Sentiment Analysis

What is sentiment analysis and what are the key trends in sentiment analysis today? Understand and try out some of the simplest and most cutting-edge sentiment analysis technologies!

Can AI and NLP score sales leads for Customer Relationship Management?
Data scienceProject management

Can AI and NLP score sales leads for Customer Relationship Management?

Natural language processing can distinguish customers from salespeople Is it possible to use natural language processing (NLP) to distinguish between unwanted sales approaches and promising leads for a business’s customer relationship management?

Midwives' Voices, Midwives' Demands NLP Dashboard
Ai and societyData science

Midwives' Voices, Midwives' Demands NLP Dashboard

Today, Thursday 5 May, is being celebrated worldwide as the International Day of the Midwife, organised by the International Confederation of Midwives.

How to Become a Data Science Consultant
Data scienceHuman resources

How to Become a Data Science Consultant

Job postings for data science consultants have increased an amazing 256% since 2013. Why? The need for data collection and processing is everywhere.

Causal machine learning
CausalityData science

Causal machine learning

Some ways that we can model causal effects using machine learning, statistics and econometrics, from a sixth-century religious text to the causal machine learning of 2021 including causal natural language processing.

Named Entity Recognition and Product Recognition
Data scienceNatural language processing

Named Entity Recognition and Product Recognition

Named entity recognition (NER) is the task of recognising proper names and words from a special class in a document, such as product names, locations, people, or diseases.

Building a data science team
Data scienceHuman resources

Building a data science team

Data science in an organisation starts with three separate sub-teams: the data science team, the data engineering team, and the data operations team.

Training machine learning models from sensitive data
Ai and societyData science

Training machine learning models from sensitive data

Does protecting sensitive data mean that you also need to compromise the performance of your machine learning model? If you study machine learning in university, or take an online course, you will normally work with a set of publicly available datasets such as the Titanic Dataset, Fisher’s Iris Flower Dataset, or the Labelled Faces in the Wild Dataset.

Finding similar documents
Data scienceNatural language processing

Finding similar documents

How NLP document similarity algorithms can be used to find similar documents and build document recommendation systems. Let us imagine that you are reading a document, and would like to find which other documents in a database are most similar to it.

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