Machine Learning: An In-Depth Guide – Model Evaluation, Validation, Complexity, and Improvement

Machine Learning: An...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the third article in a five-part series about machine learning. In this article, we’ll continue our machine learning discussion, and […]

Machine Learning: An In-Depth Guide – Data Selection, Preparation, and Modeling

Machine Learning: An...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the second article in a five-part series about machine learning. In this article, we will briefly introduce model performance concepts, […]

Machine Learning: An In-Depth Guide – Overview, Goals, Learning Types, and Algorithms

Machine Learning: An...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome! This is the first article of a five-part series about machine learning. Machine learning is a very hot topic for many […]

Introducing Seldon Deploy

Introducing Seldon D...

When we released Seldon’s open-source machine learning platform in 2015, machine learning was a niche topic in the business world. But leveraging what is broadly described as AI is now at the top of the strategic agenda for organisations of all sizes across industries. Seldon’s mission is to help people predict and shape the future […]

Prophet is Data Science not Statistics, and there is a Difference

Prophet is Data Scie...

Facebook’s prophet forecasting tool illustrates the distinction between a traditional statistical approach compared to the newer machine learning/data science paradigm. This distinction is cultural: it seems that the motivation behind prophet was to quickly make accurate forecasts (predictions), instead of getting bogged down in building models satisfying certain theoretical properties, which may or may not yield useful results. The […]

How Does the Random Forest Algorithm Work in Machine Learning

How Does the Random ...

In this article, you are going to learn the most popular classification algorithm. Which is the random forest algorithm. In machine learning way fo saying the random forest classifier. As a motivation to go further I am going to give you one of the best advantages of random forest. Random forest algorithm can use both […]

“Printing Money” with Operational Machine Learning

“Printing Money”...

Organizations have made large investments in big data platforms, but many are struggling to realize business value. While most have anecdotal stories of insights that drive value, most still rely only upon storage cost savings when assessing platform benefits. At the same time, most organizations have treated machine learning and other cognitive technologies as “science […]

A Gentle Introduction to Recommender Systems with Implicit Feedback

A Gentle Introductio...

Recommender systems have become a very important part of the retail, social networking, and entertainment industries. From providing advice on songs for you to try, suggesting books for you to read, or finding clothes to buy, recommender systems have greatly improved the ability of customers to make choices more easily. Why is it so important […]

Factorization Machines for Recommendation Systems

Factorization Machin...

As a Data Scientist that works on Feed Personalization, I find it it important to stay up to date with the current state of Machine Learning and its applications. Most of the time, using some of the better-known recommendation algorithms yields good initial results; however, sometimes a change in the model is essential to provide customers […]