give a reply for given a b questions minimum 150 words for each question 1 apa reference each 2

(A)

Based on the experience, I have acquired new information that is related to the concept of misleading statistics. One of the new information is the information on how sample data can be a form of misleading statistics (Steele, 2005). In most cases, statistics make use of the samples and sampling techniques that will yield results for use in generalization. Under such a case, the sample that has been collected is assumed that it covers the entire target population. The argument is not valid as the reality is that the sample might be a minute part of the population. For instance, data can be collected to find out the spread of certain diseases in a given city (Steele, 2005). Results from the sample will show that the sample population does not have the disease. Therefore, the statistics might be used to lie, while in reality, there are several causes of the disease.

The second salient piece of information learned came from the misleading visualizations. Visualization entails a necessary grouping of the target elements (Steele, 2005). It must show the scale that has been used, the origin or value started with, calculation method for the data as well as time. When one of the concepts misses, the statistics will lie as they shall not relay the intended message to the audience.

The interview technique can also be a source of misleading statistics. An interview technique has to come up with the desired results (Steele, 2005). However, an interview technique that is not well-planned will end up with undesired statistics that will yield accurate information but, in the real sense, do not reflect on the actual data (EMC Education Services,2015). As such, the choice of the best interview technique will ensure that the data in question is well represented to yield a reliable result. Otherwise, it will affect the general outcome of the data and affect the credibility of the statistics.

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(B)

I will say I learned a considerable amount right now, was really my most enjoyable course. The assignments were extremely useful to the whole learning process. I truly delighted in the class particularly the virtual class it is entirely adaptable and simple to communicate with professor or students. I appreciated the material that was canvassed in the class. I enjoyed that the teacher has a speedy reaction. I enjoyed the Bonus grade assignment which is gainful for each student to improve their grade and I will search forward for more assignments that improve the grades.

Capacity to recognize the qualities of datasets and look at the inconsequential data and big data for different applications, Ability to choose and implement machine learning techniques and figuring condition that are reasonable for the applications viable. Capacity to take care of issues related with group learning and internet learning, and the big data qualities, for example, high dimensionality, progressively developing data and versatility issues. Capacity to coordinate machine learning libraries and numerical and statistical tools with present day advances like Hadoop and mapreduce.

My most fascinating topic during the meeting was examined on some these topics underneath

Examined fundamental standards of AI(Artificial Intelligence) in arrangements that require critical thinking, deduction, observation, information portrayal, applying logical strategy to models of machine learning. Current extension and restrictions, and cultural ramifications.

Cloud processing is another topic which I was intrigued and conversation on the center issues of cloud figuring, for example, security, protection, and interoperability, recognize issues, and clarify, break down, and assess different cloud registering arrangements.

Data Analysis, Predictive examination is another topic which is been talked about, How Predictive investigation utilize different techniques extending from data mining, statistics, demonstrating, machine learning, just as man-made reasoning to analyze existing data and figure forecasts concerning what’s to come. how prescient investigation envelops a few statistical techniques like data mining, prescient demonstrating alongside machine learning. How we can make expectations on obscure occasions to happen later on. These are the couple of topics where I could use techniques for my undertaking just as my workplace.

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