Machine Learning is red hot right now and entering the field can be daunting for newcomers.

There are new languages, tooling, and frameworks to learn on top of very deep mathematical concepts.

Here’s a great article on ML.NET and how it brings familiar programming languages and techniques into the tools developers use every day.

That’s where ML.Net comes in. It’s Microsoft’s open source, cross-platform machine learning tool for .Net and .Net Core, targeting .Net Standard, running on Windows, Mac OS, and Linux systems. It’s extensible, so it works with not only Microsoft’s own ML tooling but also with other frameworks such as Google’s TensorFlow and the ONNX cross-platform model export technology. By supporting as wide a selection of frameworks as possible, it gives you the option to pick and choose the ML models that are closest to your needs, fine tuning them to fit.

Have you wondered whether there could be an ultimate solution to speed up your data science work via parallelizing Pandas and NumPy?

Can you boost the speed by integrating all of these data frames with libraries like XGBoost or Sklearn?

Well, then Dask may be just what you’ve been wanting all along.

Dask is a revolutionary tool, and a perfect solution if use Pandas and Numpy and struggle with the data that does not fit into RAM In this article, we will be looking at how easily the dask data frames fits into the data science workflow

Recently, the tech press is full of stories about “a new ransomware strain” called GermanWiper, that has hit German businesses hard in the last week.

Rather like a typical ransomware attack vector, GermanWiper, arrives in your inbox in the form of an email.

Worse yet, it’s not ransomware. Ransomware at least provides a slim glimer of hope of getting your data back.

GermanWiper, rather like a typical ransomware attack, arrives in your inbox in the form of an email. In this case samples have been seen purporting to be a job application from a person called Lena Kretschmer.

It’s back to school season here in the US and Siraj Raval offers his advice on what laptops programmers (and aspiring programmers).

If you’re a programmer and looking to decide which laptop to get in 2019, I’ve developed a set of recommendations for you based on 3 different budgets! In this episode, I’ll explain my recommendations for the best laptop for programmers in the student, generalist, and professional category. Each of my picks has been judged by me on a wide variety of factors from GPU speed to keyboard comfort to cooling fan ability. These are my own picks, none of these companies paid me to promote them. I hope you find my set of recommendations useful in your journey, enjoy!