How to create a Machine Learning Application fast? The four pillars that we adhered to when we wanted to build a Marketing Machine Learning solution. This is the story behind the process of building the Nudgr ML. Developing a Machine Learning application is a sizable undertaking. You’re dealing with large amounts of data and you … Continue reading How to create a Machine Learning Application fast
How Data and Features are used to build Machine Learning?Building a machine learning product – Data and features A guide to how we’re using Features in our machine learning – picking them, visualising them and then using or discarding them to improve accuracy and performance. Before generating Features Machine learning is all about recognising and … Continue reading How Data and Features are used to build Machine Learning?
Feature (machine learning) In machine learning and pattern recognition, afeature is an individual measurable property of a phenomenon being observed. Choosing informative, discriminating and independent features is a crucial step for effective algorithms in pattern recognition, classification and regression. MACHINE LEARNING FEATURES Integrated Google services are designed to work together. It works with Cloud Dataflow … Continue reading MACHINE LEARNING FEATURES
How do we know that the next generation will be better? A genetic algorithm tries to improve at each generation by culling the population. Every member is evaluated according to a fitness function, and only a high-scoring portion of them is allowed to reproduce. You’re right, though: there is no guarantee that the next generation … Continue reading How do we know that the next generation will be better?
List of Machine Learning APIs AT&T Speech, IBM Watson, Google Prediction. Top Machine Learning APIs. Machine learning is everywhere these days. It’s on your smartphone automatically classifying and organizing your photos. It’s in your email account filtering out spam and other emails you don’t want to read. It’s on Amazon.com recommending products and personalizing your online … Continue reading List of Machine Learning APIs AT&T Speech, IBM Watson, Google Prediction
What is Machine learning? Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.What is machine learning, and why is it becoming so popular? What’s required to create good machine learning … Continue reading Create good machine learning systems?
Some ‘small’ text files that contain about 500000 entries/rows. Each row has also a ‘key’ column. I need to find this keys in a big file (8GB, at least 219 million entries). When found, I need to append the ‘Value’ from the big file into the small file, at the end of the row as … Continue reading How to find this keys in a big file (8GB, at least 219 million entries)
When a node fails, the blocks stored on there no longer count as being available for HDFS. You can easily see this by looking at the number of under replicated blocks when a node fails or is disabled. In general, the system will try to solve underreplication when it occurs (and when capacity is available). … Continue reading What is the procedure of disk or data node failure and recovery in hadoop
What is Machine learning? Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. Essentially, it is a method of teaching computers to make and improve predictions or behaviors based on … Continue reading Big Data Machine Learning
The Life of a Data Scientist Data scientists are big data wranglers. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, massage and organize them. Then they apply all their analytic powers – industry knowledge, contextual understanding, skepticism of existing … Continue reading How to become a Data Scientist