data science


Data Science Simplified Part 11: Logistic Regression

@machinelearnbot

In the last blog post of this series, we discussed classifiers. The categories of classifiers and how they are evaluated were discussed. We have also discussed regression models in depth. In this post, we dwell a little deeper in how regression models can be used for classification tasks. Logistic ...


What is machine learning? - Data Points

#artificialintelligence

Every useful machine – from advanced AI through to the humble toaster – has to possess 'knowledge' about the world in which it operates. For example, within the design of a household toaster, much knowledge about the world must have already been implemented. This is implicit knowledge. The toaster ...


Natural Language Processing with Deep Learning in Python

@machinelearnbot

In this course we are going to look at advanced NLP. Previously, you learned about some of the basics, like how many NLP problems are just regular machine learning and data science problems in disguise, and simple, practical methods like bag-of-words and term-document matrices. These allowed us to...


Moneyball for movies: Data science and AI in Hollywood

ZDNet

Data science and related disciplines, such as artificial intelligence and machine learning, have become table stakes in almost all areas of software. From marketing to customer service and beyond, data and analytics are changing existing enterprise processes and enabling new ones. Data science vs t...


The AI era: 4 skills IT pros need to develop

#artificialintelligence

Emerging technologies like machine learning, deep learning, and, to some extent, artificial intelligence are becoming ripe for adoption. IT professionals need to understand how these technologies affect the businesses they support and begin developing the skills needed to manage and work with these ...


BlackRock bulks up research into artificial intelligence

#artificialintelligence

BlackRock is setting up a new centre dedicated to research in artificial intelligence, underscoring the heightened interest among asset managers in how machine learning can revolutionise many facets of the investment industry. The world's biggest investment group, with $6.3tn of assets under manage...


Aspiring data scientist? Master these fundamentals.

#artificialintelligence

Data science is an exciting, fast-moving field to become involved in. There's no shortage of demand for talented, analytically-minded individuals. Companies of all sizes are hiring data scientists, and the role provides real value across a wide range of industries and applications. Often, people's ...


Sky-High Salaries Are the Weapons in the AI Talent War

#artificialintelligence

If you want to command a multiyear, seven-figure salary, you used to have only four career options: chief executive officer, banker, celebrity entertainer, or pro athlete. Now there's a fifth--artificial intelligence expert. One reason: No one can quite agree on how many there are. Google, Facebook...



Combining Machine Learning and Cognitive Analysis for Profitable Cryptocurrency Trading

#artificialintelligence

Fluctuations in the cryptocurrency market is seen by some people as a sign of instability, therefore they feel that the crypto ecosystem is unpredictable and should be avoided. For most traders and speculators, this is the best mood of the market because huge swings also means increased opportunitie...