Machine learning, Python, Display ads and more at #LaSoftDigitalNews

Hey LaSoftians,
after a few test weeks, we smoothly move our dearly beloved #LaSoftDigitalNews to the next level.
Where exactly?
Well, you may guess by checking the domain, that you’re now scrolling.

Yes, that’s right! The last month of autumn does not just bring us cold weather and cough but also new heading on LaSoft blog, in the form of weekly news digest.
Check the most interesting news from the digital world and don’t forget to comment below!:)

1. Responsive Display Ads Are Replacing Legacy Display Ads: Here’s What That Means
If you’re a Google advertiser, you probably received an email from the search giant in your inbox yesterday afternoon. The message? Responsive display ads are replacing legacy display ads in your Google Display Network (GDN) campaigns.
What does this change mean for display?

2. How to Diversify Your Marketing Traffic Sources and Why You Should
Traffic is the currency of our digital world—the more traffic your website gets, the greater chances you have of making money, building brand connections, and persuading past customers to shop again. However, it’s easy to get stuck in a rut, driving traffic from just a few sources, any of which could dry up and leave you with nothing.

3. Facebook Automated Rules: 4 Ways To Get More Out of Your Campaigns on Autopilot
As a busy marketer, how do you find time to keep on top of your Facebook ad campaigns and ensure that only the best ads are running?
With a hundred other business tasks demanding your attention, it’s easy to neglect your ads and their results will soon start to decline.
Luckily there are some proven ways to increase the outcome of your Facebook ad campaigns with minimal effort. And they’re just one click away.

4. Announcing Automated Machine learning in Power BI general availability
We’re happy to announce that Auto ML in Power BI is generally available in all public cloud regions where Power BI Premium and Embedded is available. Using Auto ML in Power BI, business analysts can build ML models to solve business problems that once required data scientists.

5. JavaScript vs. Python: Which Should Marketers Learn?
Like many marketers, you may fantasize about the amazing things you could do if you learned to code. But before you get there, you need to decide which language to learn.
Several languages come up: Python, SQL, Bash, JavaScript. But only two are full-fledged programming languages—JavaScript and Python. If you’re interested in programming, these are the two languages that you should compare.
Deciding between the two should be based on:

  • Your specialty;
  • Your willingness to learn;
  • Your interest in other fields.

This article discusses the pros and cons of JavaScript and Python to help you determine which one you should go for.

33 comments On Machine learning, Python, Display ads and more at #LaSoftDigitalNews

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