Al Martin: Hi folks, this is Al Martin from Making Data Simple, the series, if you will. Today I have Jean-Francois Puget. Jean-Francois Puget: Yes, you did great. You passed your French test. Al Martin: All right, good, I'm going to give you the [name] JFP from now on, is that all right? So JFP is the distinguished engineer for machine learning and optimization, that's the topic today and we're going to go into that. I also have with me [Steve Moore], who is a senior content designer and storage strategist. Al Martin: So Steve wanted to join the conversation, ask a few questions. So he'll ask the intelligent questions, I will ask the normal, blockhead questions, if you will. So, thank you for being here. We've done a lot, well we've done at least, I think two podcasts on machine learning. We've done one on machine 1.15 learning for dummies, one for IBM machine learning, how to [help], if you haven't heard those, go back, so we can't do enough, and I notice that on your title JFP is machine learning and optimization.

Machine learning first took root in the 1950s and has slowly progressed over six decades through 2010. Since then, IBM and companies such as Google, Microsoft and Facebook have been integrating and improving the technology at a rapid pace. And now many other companies are joining the bandwagon. On February 23, Apple Inc. announced that it is expanding its artificial intelligence and machine learning team in Seattle. The expanded team will join forces with the company's headquarters team in Cupertino to develop innovative AI features for future product and services.

When it comes to machine learning and data science, there are so many language options to choose from. Data scientist Jean-Francois Puget does some analysis to decide which one is best. What programming language should you learn to get a machine learning or data science job? I could provide my own answer to it and explain why, but I'd rather look at some data first. After all, this is what machine learners and data scientists should do: look at data, not opinions. So, let's look at some data.

When it comes to machine learning and data science, there are so many language options to choose from. Data scientist Jean-Francois Puget does some analysis to decide which one is best. What programming language should you learn to get a machine learning or data science job? I could provide my own answer to it and explain why, but I'd rather look at some data first. After all, this is what machine learners and data scientists should do: look at data, not opinions. So, let's look at some data.

When it comes to machine learning and data science, there are so many language options to choose from. Data scientist Jean-Francois Puget is looking at which one is best. What programming language should you learn to get a machine learning or data science job? I could provide my own answer to it and explain why, but I'd rather look at some data first. After all, this is what machine learners and data scientists should do: look at data, not opinions. So, let's look at some data.