Machine Learning Tools You Should Know About
Artificial intelligence, big data, and hybrid cloud computing have made a significant impact on the business industry. Joining this list is machine learning. This new advancement in business technology provides machines with the ability to learn data and store information without being specifically programed to do so. Machine learning tends to focus on developing computer programs that are able to make the necessary adjustments when new data presents itself.
Every new development in the technological industry is followed by new tools. These tools work to help businesses and users stay up to date with all the technological advancements. Some specific tools that will help businesses as they incorporate and work with machine learning are Amazon Machine Learning, Tensor Flow, Azure Machine Learning Studio, H20, Caffe, MLlib, and Torch.
Busting the 7 Biggest Employer Branding Myths of All Time.
Based on Google Trends data and anecdotal evidence in the form of podcast topics in the HR, this is the year of Employer Brand (at least in the talent acquisition community).
I say this like people who say this is the year of women in Hollywood or the year of mobile in tech, that is with tongue firmly in cheek, knowing full-well that employer brand has always been important, whether we listen to expert-stocked panels at conferences.
But ask ten people what an employer brand is and where it comes from and you’ll get ten answers, which is no way to facilitate growth.
So by way to establishing a definition and getting everyone on the same page, here are the seven most common myths about employer brand…busted.