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# Coursera Course Help

### Ask Any Homework Question, below

## Coursera Online Courses

### Course: Machine Learning

### University: Stanford

### Details of the course:

To learn about the most effective machine learning techniques and using them as an application to the real world you need to put into practice the various tools of it. This course is intended to help you to know every detail of Machine Learning and its applications.

### What is Machine Learning?

It is a science that helps the computer to compute or act without any explicit programming.

### How It has Helped Us?

Machine Learning has been a very effective and a popular topic since the past decade, it has provided us with practical speech recognition, self-driving cars, effective web search and great improved understanding of the human's mind. In today's world, Machine Learning has become so necessary, that we may use it a lot many times a day without our knowledge. According to many researchers, it has proved to be the most effective way to progress in a better way towards human level.

Even though the course from www.coursera.com provides the necessary guidance needed by the students, they will need some extra assistance outside the given course guidelines. In order to understand the lessons better a student will need some actual class sessions. These **classroom sessions are provided by tutorteddy.com** based on the courses of Coursera. Students can interact with professional instructors can get their queries answered and learn faster.

### Machine Learning Classroom Session by Tutorteddy.com: January 31, 2017 4pm to 5pm

### Course: Mathematical Biostatistics Boot Camp 1

### University: Johns Hopkins University

### Details of the course:

The course introduces us to the fundamentals of probability and statistical concepts that are used in the elementary data analysis. This particular course is an introductory level and is intended for the students having junior or senior college-level mathematical training that includes a practical knowledge of the calculus. A little knowledge about linear algebra and programming beforehand is an added advantage for the students, but it is not a necessity.

The knowledge of Statistics has become quite important nowadays as it provides the fundamental language of all experimental research. Biostatistics is a special field of statistics that can be applied to the biomedical sciences and research.

Both mathematical and statistical topics are included in this course to aid the students to understand biostatistics in details. After completion of the course, students will get a clear idea and good understanding about the assumptions, goals, advantages and disadvantages of probability modeling in the medical sciences. All these will help the students to approach new statistical topics and will help a lot to build a strong concept for future self learning and applications.

Even though the course from www.coursera.com provides the necessary guidance needed by the students, they will need some extra assistance outside the given course guidelines. In order to understand the lessons better a student will need some actual class sessions. These **classroom sessions are provided by tutorteddy.com** based on the courses of Coursera. Students can interact with professional instructors can get their queries answered and learn faster.

### Mathematical Biostatistics Classroom Session by Tutorteddy.com: February 1, 2017 4pm to 5pm

### Course: Scientific Computing

### University: University of Washington

### Details of the course:

This course leads you to investigate the flexible and strongly project oriented thorough computational analysis and helping in communicating the information through creation of visual representations of scientific data.

The flexible and strongly project oriented analysis forms the basis of this course. With the help of this technique students can resolve many complicated problems in a number of fields that includes engineering sciences, physical sciences, social sciences, medical science, biological science, finance and economics. Through this communication of information can be improved through the creation of visual representations of scientific data.

The course comprises of the techniques related to numerical solution that emphasizes on ordinary and partial differential equations. Special importance is given to the numerical schemes where these schemes are applied to the practical problems in the field of physical and engineering sciences. Problems are solved by applying advanced MATLAB toolboxes and routines. Students can practice and review graphical techniques for presentation of information through creation of visual representations of scientific data.

Even though the course from www.coursera.com provides the necessary guidance needed by the students, they will need some extra assistance outside the given course guidelines. In order to understand the lessons better a student will need some actual class sessions. These **classroom sessions are provided by tutorteddy.com** based on the courses of Coursera. Students can interact with professional instructors can get their queries answered and learn faster.

### Scientific Computing Classroom Session by Tutorteddy.com: February 2, 2017 4pm to 5pm

### Course: Exploring Neural Data

### University: Brown University

### Details of the course:

The course emphasizes on developing the idea of neural data and analyzing it. With the help of the real neural data sets, whose source is from the neuroscience research labs, students will develop knowledge about various techniques of data analysis. In this way the students can find for themselves how well the brain works.

This particular course, "Exploring Neural Data "aids us to learn and know about the neuroscience research and exploring questions that are related to working of the brain. The coursea is intended for the students to develop their primary knowledge about facing real-life challenges while working with neuroscience and this introductory level course also helps the students to learn how to work and handle massive data that are collected from the brain. Neuroscientists will give details about the labs they are working, the idea and full description of their research and an explanation of the techniques of data analytic. Also, students can explore the original data that are collected in all these labs of research.

**classroom sessions are provided by tutorteddy.com** based on the courses of Coursera. Students can interact with professional instructors can get their queries answered and learn faster.

### Course: Exploring Neural Data, Classroom Session by Tutorteddy.com: February 5, 2017 4pm to 5pm

### Course: Data Analysis and Statistical Inference

### University: Duke University

### Details of the course:

The course emphasizes on the principles of statistics and it gives us a detailed idea of the subject and how data are analyzed. This particular course will help the students to learn how effectively data should be used at times of uncertainty. Details of data collection, analyzing data and making inferences from the data and finally drawing conclusions regarding the phenomena of the real world form the basis of this course.

### Objectives:

- Significance of data collection- Why it is important to select the appropriate methods of collection? And what are the drawbacks of the methods of data collection and how much they affect the scope of making inferences?
- The use of the R software for summarizing the data in a numerical and visual manner and how data analysis is performed.
- Conceptual understanding of the statistical inference is been provided.
- Analyzing single variables by using and applying confidence interval for estimation and hypothesis tests for testing and studying the relationship between the two variables to get an idea of the natural phenomena and make decisions based on the data.
- The procedure of modeling and investigating the relationships between two variables (or more than two variables) in the context of regression.
- Accurately interpreting the data in an effective manner that is based on the context and not relying on statistical jargon.
- Evaluation of the claims based on data and data driven decisions.
- Involving and completing the research project that includes the simple statistical inferences and the various modeling techniques.

**classroom sessions are provided by tutorteddy.com** based on the courses of Coursera. Students can interact with professional instructors can get their queries answered and learn faster.

### Course: Data Analysis and Statistical Inference, Classroom Session by Tutorteddy.com: February 5, 2017 4pm to 5pm

### Course: Accounting

### University: Wharton University of Pennsylvania

### Details of the course:

Financial Accounting seems like an intimidating subject with so many terms and formulas. If you are someone who finds it difficult to manage the various concepts of this subject, this course can definitely help you. You need not be a student or have any prior education in this subject to take the course.

Maybe you are past the formal college education stage and you have no knowledge about accounting. However now you feel the need to know or just want to enhance your understanding of the various terms, calculation formulas and definitions of financial accounting. This online course by www.coursera.org is the right choice for you. All the study materials are supplied through the course by www.coursera.org

**classroom sessions are provided by tutorteddy.com** based on the courses of Coursera. Students can interact with professional instructors can get their queries answered and learn faster.

### Accounting Classroom Session by Tutorteddy.com: January 30, 2017 4pm to 5pm

**TutorTeddy.com & Boston Predictive Analytics**

[ Email your Statistics or Math problems to **tutor@aafter.com** (camera phone photos are OK) ]

Boston Office (Near MIT/Kendall 'T'):

Cambridge Innovation Center,

One Broadway, 14th Floor,

Cambridge, MA 02142,

Phone: 617-395-8864

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Dallas, TX 75248,

Phone: 866-930-6363