Monday, 1 February 2016
Tuesday, 12 January 2016
Decision Trees
Decision Trees
Decision trees are, in general, a non-parametric inductive learning technique, able to produce classifiers for a given problem which can assess new, unseen situations and/or reveal the mechanisms driving a problem. They can be applied to both regression and classification problems.
Decision trees can be easy-to-understand with intuitively clear rules understandable to domain experts
Decision trees offer the ability to track and evaluate every step in the decision-making process. This is because each path through a tree consists of a combination of attributes which work together to distinguish between classes. This simplicity gives useful insights into the inner workings of the method.
Decision trees can handle both nominal and numeric input attributes and are capable of handling data sets that contain misclassified values
Decision trees can easily be programmed for use in real time systems.
They are relatively inexpensive computationally and work well on both large and small data sets
Decision trees are considered to be a non-parametric method. This means that decision trees have no assumptions about the space distribution and on the classifier structure
Decision trees are, in general, a non-parametric inductive learning technique, able to produce classifiers for a given problem which can assess new, unseen situations and/or reveal the mechanisms driving a problem. They can be applied to both regression and classification problems.
Decision trees can be easy-to-understand with intuitively clear rules understandable to domain experts
Decision trees offer the ability to track and evaluate every step in the decision-making process. This is because each path through a tree consists of a combination of attributes which work together to distinguish between classes. This simplicity gives useful insights into the inner workings of the method.
Decision trees can handle both nominal and numeric input attributes and are capable of handling data sets that contain misclassified values
Decision trees can easily be programmed for use in real time systems.
They are relatively inexpensive computationally and work well on both large and small data sets
Decision trees are considered to be a non-parametric method. This means that decision trees have no assumptions about the space distribution and on the classifier structure
Sunday, 10 January 2016
Validate Data in EXCEL using Validation List
Validate Data in EXCEL using Validation List
Excel enables you to restrict the values a
user can enter in a cell. By restricting values, you ensure that your worksheet
entries are valid and that calculations based on them thereby are valid as
well. During data entry, a validation list forces anyone using your worksheet
to select a value from a drop-down menu rather than typing it and potentially
typing the wrong information. In this way, validation lists save time and
reduce errors.
To create a validation list, type the
values you want to include into adjacent cells in a column or row. You may want
to name the range. After you type your values, use the Data Validation dialog
box to assign values to your validation list. Then copy and paste your
validation list into the appropriate cells by using the Paste Special Validation
option. You may want to place your validation list in an out of the way place
on your worksheet or on a separate worksheet
Validation lists can consist of numbers, names
of regions, employees, products, and so on.
Vamsidhar
www.pacegurus.com
Saturday, 9 January 2016
Teaching Statistics
Teaching Statistics
Being
able to provide solid evidence-based arguments and critically evaluate claims
based on data are important skills that all citizens should have. Hence the
study of statistics worldwide at all educational levels is gaining more
attention. The study of statistics provides students with tools, ideas and
dispositions to react intelligently to information in the world around them.
Reflecting this need to improve students’ ability to think statistically,
statistical literacy and reasoning are becoming part of the mainstream school
and university curricula in many countries. As a consequence, statistics education
is becoming a thriving field of research and curricular development.
Statistics is vigorously gaining importance and recognition in
today’s society thanks to the boom created by the buzz words Big Data and
Analytics. Statistics is a central tool in moving science, economics, politics,
schools, and universities forward. Quantitative information is omnipresent in
media and in the everyday lives of citizens worldwide. Data are increasingly
used to add credibility to advertisements, arguments, or personal and
professional advice. Therefore, there is a growing public and policy consensus
that being able to provide reliable and persuasive evidence-based arguments and
critically evaluate data-based inferences are crucial skills that all citizens
of the twenty-first century should have. All students consequently must become
statistically literate and be able to reason statistically even at an informal
level as part of their compulsory and lifelong education
Despite
the increasing awareness of the importance of statistical literacy, statistics has
been viewed by many students as difficult and unpleasant to learn. Many
university instructors find statistics and research methods courses equally
frustrating and unrewarding to teach. In schools, mathematics teachers often
view statistics as a marginal strand in the mathematics curriculum and therefore
minimize or ignore its teaching. Students equate statistics with mathematics
and expect the focus to be on numbers, computations, formulas, and one right
answer. They are uncomfortable with the messiness of data, the different
possible interpretations based on different assumptions, and the extensive use
of writing and communication skills. The dissatisfaction with students’ ability
to think and reason statistically, even after formally studying statistics at
the undergraduate and graduate level should lead to a re-examination of the field
of statistics education
Many
students still leave their course perceiving statistics as a set of tools and
techniques that are soon forgotten. Even current methods of teaching continue
to focus on the development of skills and have neglected to instill in their
courses experiences that develop the ability to think statistically
There
is a need for data driven, innovative approaches in teaching statistics keeping
in mind the objective of statistics in the real world. This subject should be comfortable
even to a students who fears mathematics because this subject is all about
working with relationships and the use of technology simplifies the process
further. All the statistics and business analytics courses designed by www.pacegurus.com keep in mind a student
with very little knowledge of statistics, but has the attitude to learn,
decipher from the data and make meaningful conclusions needed for the aspects
of life.
Bottom
Line: Statistics is much much bigger than just a few calculations. It helps you
in every walk of life. Don’t compare it with Maths and develop fear and allergy
towards it. Start enjoying it……
Vamsidhar
www.pacegurus.com
Friday, 8 January 2016
Intermediate Statistics using SPSS - Workshop
Intermediate Statistics using SPSS - Workshop
www.pacegurus.com announces a 2-Day workshop on "Understanding Credit Derivatives" for the Corporate, Business Schools, any other learning institutions. Even individuals can get enrolled for one-one learning of the subject. The program would be conducted by VAMSIDHAR AMBATIPUDI at your campus. The detailed syllabus for the same can be found at
http://www.pacegurus.com/Intermediate-Statistics-SPSS.html
For further details do contact us at +91-9848012123. Request you to share the information with your friends and colleagues and do recommend PACEgurus for Finance, Investment, Actuaries, Risk Management, Statistics and Business Analytics trainings for your organization.
Integrating Strategy and Analytics
Integrating Strategy and Analytics
“The vast majority of strategic initiatives never succeed.”
“Organizations fail not because they have the wrong strategy but because they do not execute the strategy properly.”
Statements like these have been repeated so often they have become conventional wisdom. An entire industry of management consultants exists to help companies define the right strategy so that they won’t fail. Yet failure, or at least muddling through, is still much, much more common than outright success. Through analysis you can determine where execution works well and where it does not. With that information you can evaluate the solutions, determine which one(s) to implement
Organizations are complex places. Cognitively, people have a hard time focusing on too many things at once. A primary vehicle for reduced complexity is standard business processes. Unfortunately, simplification and standard processes are not enough. You have to recognize and manage the organizational complexity for successful strategy execution. The challenge for frontline and middle managers is how to deal with the competing strategic and operational objectives
Most analytics conducted today by the business and by HR are incomplete and cannot solve strategy execution problems on their own. You need a full causal model to diagnose the entire system and to understand what really drives behavior and performance. You need to know what drives performance in your organization to get strategy execution right. The problem with organizational analytics today is that they tell an incomplete story. Enterprise analytics and human capital analytics are conducted along parallel and separate tracks. Both attempt to determine why performance happens, yet each on its own can tell only part of the story. Without the complete story, we don’t really know the best ways to improve strategy execution and organizational effectiveness.
When you understand the link to the larger system, you can properly diagnose the root causes of behavior and motivation. It’s also the surest way to find changes to solve the problems instead of temporary solutions that only paper over the root causes
VAMSIDHAR AMBATIPUDI
www.pacegurus.com
www.pacegurus.com
Thursday, 7 January 2016
Understanding Credit Derivatives - Workshop
Understanding Credit Derivatives - Workshop
www.pacegurus.com announces a 2-Day workshop on "Understanding Credit Derivatives" for the Corporate, Business Schools, any other learning institutions. Even individuals can get enrolled for one-one learning of the subject. The program would be conducted by VAMSIDHAR AMBATIPUDI at your campus. The detailed syllabus for the same can be found at
http://www.pacegurus.com/Understanding-Credit-Derivatives.html
For further details do contact us at +91-9848012123. Request you to share the information with your friends and colleagues and do recommend PACEgurus for Finance, Investment, Actuaries, Risk Management, Statistics and Business Analytics trainings for your organization.
www.pacegurus.com announces a 2-Day workshop on "Understanding Credit Derivatives" for the Corporate, Business Schools, any other learning institutions. Even individuals can get enrolled for one-one learning of the subject. The program would be conducted by VAMSIDHAR AMBATIPUDI at your campus. The detailed syllabus for the same can be found at
http://www.pacegurus.com/Understanding-Credit-Derivatives.html
For further details do contact us at +91-9848012123. Request you to share the information with your friends and colleagues and do recommend PACEgurus for Finance, Investment, Actuaries, Risk Management, Statistics and Business Analytics trainings for your organization.
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