Start Studying Machine Learning With PyCharm

JetBrains Academy Learning Courses News What is machine learning, and why does it matter? Machine learning (ML) is a subfield of artificial intelligence that studies the ability of machines to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a similar way to how humans solve problems. You might not … Read more

Why Your Database Needs a Machine Learning Brain

The past 10-15 years have seen organizations put vast resources into creating databases that let them understand their business better, spot trends earlier, and manage tasks more effectively. Indeed, a whole industry has now grown up around it, not just with database companies like Clickhouse, DataStax, MariaDB, MongoDB, MySQL, PostgreSQL, SingleStore, or Snowflake, but with … Read more

machine learning – How to use your trained xgb-model in r to apply it on a new dataset?

I trained an xgb model like this: candidates_var_train <- model.matrix(job_change ~ 0 + ., data = candidates_train) candidates_train_xgb <- xgb.DMatrix(data = candidates_var_train, label = ifelse(candidates_train$job_change == “Interested”, 1, 0)) candidates_var_test <- model.matrix(job_change ~ 0 + ., data = candidates_test) candidates_test_xgb <- xgb.DMatrix(data = candidates_var_test, label = ifelse(candidates_test$job_change == “Interested”, 1, 0)) Got a decent AUC … Read more

What is TensorFlow? The machine learning library explained

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it is used to be, thanks to machine learning frameworks—such as Google’s TensorFlow—that ease the process of accquiring data, training models, serving predictions, and refining future results . Created by the Google Brain team and initially released to the … Read more

Build a 24-Core Raspberry Pi Cluster From Scratch

A Raspberry Pi is a mini-computer board to which you can connect a monitor, mouse, and keyboard, and install a Linux-based operating system with a GUI. Or you can use it in “headless” mode with no GUI and run, for example, a database server. There are many usages you can give a Raspberry Pi—from building … Read more

Leveraging AI and Machine Learning Technology For Medical Imaging

Breast cancer has been prevalent among females for some decades. However, it is the most pernicious cause of mortality among women worldwide — the data released by premier medical research organizations states so. “In 2020, there were 2.3 million women diagnosed with breast cancer and 685 000 deaths globally. As of 2020, 7.8 million women … Read more

Geographic Scale With Virtual Machines and Kubernetes Nodes

In my last post, we looked at how we can deploy CockroachDB across multiple regions in Azure with the help of Cilium CNI. In this post, we evolve this architecture to allow for the use of a mix of Kubernetes pods and virtual machines. Because CockroachDB is a single binary it makes it easy to … Read more

How to Utilize Python Machine Learning Models

Ever trained a new model and just wanted to use it through an API straight away? Sometimes you don’t want to bother writing Flask code or containerizing your model and running it in Docker. If that sounds like you, you definitely want to check out MLServer. It’s a Python-based inference server that recently went GA, … Read more

The Three Must-Haves for Machine Learning Monitoring

Machine learning models are not static pieces of code but, instead, dynamic predictors that depend on data, hyperparameters, evaluation metrics, and many other variables; it is vital to have insight into the training and deployment process to prevent model drift predictive stasis. That said, not all monitoring solutions are created equal. These are the three … Read more

What is PyTorch? Python machine learning on GPUs

PyTorch is an open source, machine learning framework used for both research prototyping and production deployment. According to its source code repository, PyTorch provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration. Deep neural networks built on a tape-based autograd system. Originally developed at Idiap Research Institute, NYU, NEC Laboratories America, Facebook, … Read more