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Overview: Ever since the intersection of lightning-fast hardware and brilliant software, machines have been learning how to think like humans. Data scientists use many different kinds of machine learning algorithms to discover patterns in big data that lead to actionable insights. At a high level, these different algorithms can be classified into two groups based on the way they "learn" about data to make predictions: supervised and unsupervised learning.
Explain the differences between the two main types of machine learning methods.
Describe how artificial neural nets (ANNs) use supervised learning to predict outcomes in decision-making.
Provide one real-world example of how each type of learning is applied in data science.
What is the dependent variable in the following statement: "Arresting a batterer tends to reduce recidivism."
What is managed care and where did it come from? Discuss the current state of managed care in the U.S. health care system.
Discuss case as if you are part of the prosecuting team in State v. Stu Dents to develop your argument. What is required in your state for an insanity defense
company as demand is uniform throughout the year and totals 18000 units per year. ordering costs total 38 per order.
What types of laws ought we obey and which ought we disregard
create a formal analytical report related to an approved technical communication topic - understand the basic features of a formal analytical report
How will you adapt to global and domestic challenges? Include a reflective discussion about the specific "Biblical Themes" identified in the presentation.
develop a research paper in which you analyze a key issue facing a population segment in order to propose an area for
Review the focus group media program and consider how you might use a focus group in collecting data for the topic of your research .
He did not tell his wife, and it was not until she eavesdropped on a telephone conversation between her husband and Peter Kulaski that she discov- ered something was amiss. Mr. Rawlinson told her (after his phone conversation) that he had taken $2..
I believe that the article gave a few a good points on society and the obsession with technology and social networking.
What does this say about our culture and our socialization? What does this reveal about our global perspectives?
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