ENGLISH PRESENTATION

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manflo88

PRESENTATION FOR ENGLISH COURSE IV

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$Dialogue (big)\$ $Dialogue (big)\$

Dialogue (big)\

SMKN 1 LUMAJANG

Final personal statement

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Week 2 Explortation: Storyboard

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7 1 self identity greeting

Nqabakazi mlungu

Samantha Sammons profile

$Dialogue (big)\$ $Dialogue (big)\$

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http://nyc2015.pydata.org/schedule/presentation/125/ Description Big data is cool. Bot fraud is cool too. Using nginx, fluentd, pandas-td, presto, iPython, NetworkX, Jupiter,and scikit-learn, the intricacies of fraud, yield, and trading algorithms for the online advertizing are presented. It's complex, fast, and remunerative out there. See what the tech side of it looks like from the inside out. Abstract Hundreds of billions of video data impressions are served daily across the internet. These impression is logged via a variety of mechanisms to a plethora of repositories. We use Python tools to study and analyze log events, with high volumes, we we've need to come up with methodologies which work at scale, logistic and probabilistic tools such as Bloom filters, Count-Min Sketch. Serving impressions is conducted via real-time bidding, with extensive logging of the transactions. There are dozens of players and billions of dollars in play. Several topics are of interest: categorization and detection of 'invalid traffic', lost revenue, yield enhancement, inventory training. Two times spheres are relevant, 'ad line' for which milliseconds are monetizable, and postmortems, when the billing, reconciliations, and negotiations for abatements and adjustments due to invalid traffic. Invalid traffic, estimated to be 25% (it ranges widely depending on context), consists of bot fraud, 1x1 pixel frames, ad stacking, ad injection, below the fold placement, bogus publisher sites, incomplete ad call completion, ... The talk consists of 4 pieces: a) architecture and mechanics of video ad bidding, selection, publication, and impression b) log content, sequencing, generation, and retrieval c) descriptive statistics and visualizations of data sets with cardinality ranging from 10 to 10 Trillion

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Improve your English, attend our free webinars: http://bit.ly/tfeMjw Learn how the strategies and the language to structure your presentations and present like a pro! You will learn the vocabulary, phrases and pronunciation used by native English speakers to make effective and memorable presentations in English. This class covers + Language used to talk about presentations + Some barriers to giving a successful presentation + Preparing to give effective presentations + Summarizing content + The audience's viewpoint-psychological and other factors

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Here's a presentation given at Hirosaki University as a faculty development seminar on how professors should teach students to publish and give presentations in English. The video on the final slide comes from YouTube so it's not included here - search for "how to improve your presentations" by SpeakFirst to find the video I used. My notes for each slide are included in the notes section, so make sure to check them out.

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Guided Response: Since we will be spending the next five weeks together, it is important for us to build a classroom culture and get to know each other. Read your classmates’ posts and respond to at least three of your peers. Ask questions to get to know your classmates more or comment on connections between you and your classmates. You will find that you share many commonalities. So, there are three classmates so it should be three respond for each classmate. NOT ONE REPONDS Hello everyone my name is Mitzi McDowell , I am the baby of a family of three, I have 2 older brothers. I am the mother of 2 wonderful children (don’t we all say that about our children), and the owner of 2 amazing dogs and band new puppies (9). We live in a small town called Saint Paul’s in North Carolina. It is definitely a country town with country stores, corn fields, cow pastures, and deer running across your yard type of town. It is enjoyable because my dogs can run freely; we can ride four wheelers, and have huge family gatherings without bothering our neighbors. My education began right out of college; I attended a four year university Winston Salem State University. In the midst of college my mother became very ill and she was keeping my son during the time. I did drop out of school after a total of 3years to take care of her and my son. No regrets, I feel now I have more discipline, a little scared, but determined to finish what I started. I am currently employed at Mann Hummel Purolator Filters in Fayetteville, NC. This is a filter company and we supply filters to some of the largest automobile companies worldwide. I worked in the Data Key Entry for about 1 ½ years, then moved to Traffic Department for 2 years, then worked as office support for 2 ½ years and then Customer Service department for 5years, and now I am working in the Packaging Department. It is great to see a different side of the business, I began working with the end result and now I have transitioned to the start of the process. From this course my learning objectives are a deeper understanding of teaching methods, of the curriculum, the student, and diverse students. Also the methods of a great instructional plan for all involved. English language learners I will say are similar to what I am comfortable with. My native tongue is English, but to teach it to diverse learners may be difficult, but being a teacher is about facing the difficult and conquering. As an educator we must learn to teach diverse students, due to the diverse world we live in. There is nowhere we can go and not have to teach to one set standard of children. They all learn different, come from different backgrounds etc., therefore some form of diversity some differences great and some small. As for my future a part of me would love to get back into the classroom, although so much is going on in North Carolina regarding teachers, teacher’s pay, classroom structure etc. I still feel good teache ...

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