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Sai Reddy
  • Hyderabad
  • India
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Some Machine Learning algorithms that you should always have a strong understanding of, and why?

Started Sep 22, 2014 0 Replies

We studied university curricula (from computer science, stats and business schools). The top contenders are linear programming, regression, clustering, Neural networks and SVM.Then we looked at the…Continue

Tags: mining, k-means, CART, kaggle, algorithms

Coolest things that have been done by statisticians, data scientists, or machine learning experts.

Started Sep 11, 2014 0 Replies

Obviously, there are some wonderful problems solved by data scientists. However, I love the below problems which are worked on and believe they are the best · Detecting sarcasm in speech · Identify…Continue

Tags: education, guidance, case, studies, dataanalytics

Skills you need to become a data scientist.

Started Sep 9, 2014 0 Replies

But, I thought, the more helpful approach might be a plan.My goal is to create a plan where you get to the level of average industry practitionerSkills you need: Ability to take Excel/CSV data sets,…Continue

Some software and skills that every Data Scientist should know?

Started this discussion. Last reply by reymondmajengo Sep 4, 2014. 1 Reply

To correctly answer this question, you need to ask yourself what is the job that you want to aim? A data scientist can aim for three different jobs. For the lack of better words (or my lack of…Continue

Tags: career, education, bigdata, analytics, datascientist

 

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Sai Reddy's discussion was featured

Some Machine Learning algorithms that you should always have a strong understanding of, and why?

We studied university curricula (from computer science, stats and business schools). The top contenders are linear programming, regression, clustering, Neural networks and SVM.Then we looked at the peer groups. Obviously, the top 10 algos are published once in 4 years I guess. The current list is C5.0, KNN, SVM, EM, K-means, Pagerank, CART, Naive Bayes and a few more. We also looked at competition sites like Kaggle and found the winning algos. Singular value decomposition, Restricted boltzman…See More
Sep 24, 2014
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Sai Reddy posted a discussion

Some Machine Learning algorithms that you should always have a strong understanding of, and why?

We studied university curricula (from computer science, stats and business schools). The top contenders are linear programming, regression, clustering, Neural networks and SVM.Then we looked at the peer groups. Obviously, the top 10 algos are published once in 4 years I guess. The current list is C5.0, KNN, SVM, EM, K-means, Pagerank, CART, Naive Bayes and a few more. We also looked at competition sites like Kaggle and found the winning algos. Singular value decomposition, Restricted boltzman…See More
Sep 22, 2014
0 Comments
Sai Reddy's discussion was featured

Coolest things that have been done by statisticians, data scientists, or machine learning experts.

Obviously, there are some wonderful problems solved by data scientists. However, I love the below problems which are worked on and believe they are the best · Detecting sarcasm in speech · Identify every fraudulent medicine administration amongst hundreds of thousands of cases · Help physicians prescribe the most suitable medicine for a patient based on his insurance policy · Detect the patterns of customers in sales data that the marketing folks of the company did not know until then · Help a…See More
Sep 13, 2014
0 Comments
Sai Reddy posted a discussion

Coolest things that have been done by statisticians, data scientists, or machine learning experts.

Obviously, there are some wonderful problems solved by data scientists. However, I love the below problems which are worked on and believe they are the best · Detecting sarcasm in speech · Identify every fraudulent medicine administration amongst hundreds of thousands of cases · Help physicians prescribe the most suitable medicine for a patient based on his insurance policy · Detect the patterns of customers in sales data that the marketing folks of the company did not know until then · Help a…See More
Sep 11, 2014
0 Comments
Sai Reddy's discussion was featured

Skills you need to become a data scientist.

But, I thought, the more helpful approach might be a plan.My goal is to create a plan where you get to the level of average industry practitionerSkills you need: Ability to take Excel/CSV data sets, pre-process and visualize; Build a model and Visualize the results.Recommended steps:1. Download one data set from Kaggle/UCI or anywhere from the Internet. I am deliberately not giving a link as I want you to search through multiple sets. Create a deck of slides describing the business problem,…See More
Sep 10, 2014
0 Comments
Sai Reddy posted a discussion

Skills you need to become a data scientist.

But, I thought, the more helpful approach might be a plan.My goal is to create a plan where you get to the level of average industry practitionerSkills you need: Ability to take Excel/CSV data sets, pre-process and visualize; Build a model and Visualize the results.Recommended steps:1. Download one data set from Kaggle/UCI or anywhere from the Internet. I am deliberately not giving a link as I want you to search through multiple sets. Create a deck of slides describing the business problem,…See More
Sep 9, 2014
0 Comments
reymondmajengo replied to Sai Reddy's discussion Some software and skills that every Data Scientist should know?
"Great article, In short I can say Data Science= Statistics + Computer Science"
Sep 4, 2014
Sai Reddy's 2 discussions were featured
Sep 4, 2014
Sai Reddy posted a discussion

Some software and skills that every Data Scientist should know?

To correctly answer this question, you need to ask yourself what is the job that you want to aim? A data scientist can aim for three different jobs. For the lack of better words (or my lack of knowedge of those words!), let me classify them as1. Analysts, 2. Consultants, 3. EngineersAnalysts: These are the guys who do the same job repeatedly (statistical analysis in clinical trials, target marketing in banks etc.). In India, I see quite a few companies that get outsourced analytics also fall in…See More
Sep 1, 2014
1 Comment
Sai Reddy posted a discussion

New approaches for data modeling.

Very interesting question which can be answered in multiple perspectives. Techniques: If you are looking at techniques in data modelling, there are quite a few that are exploding. Deep learning, spectral methods, kernel methods, probabilistic graphical models, social networking analytics are all the latest and fastest growing areas. Business verticals: We are also seeing a lot of interest in data science applications in the entire circle of health care industries like pharmaceutical industries,…See More
Aug 28, 2014
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Sai Reddy's discussion was featured

How are BSP (binary space partition) trees used in machine learning algorithms?

One of the standard approaches in machine learning is called “instant based learning (IBL)”. K-Nearest neighbors algorithm is perhaps the most known amongst these appraoches. Special cases of BSPs called K-D trees are very often used in real world engineering of K-NN.Let me get to details:IBLs require that you identify one or more nearest neighbors to a given point or a record to make a prediction. For example, if I want to figure out whether to classify a transaction as good or fraud, I search…See More
Aug 22, 2014
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Sai Reddy's discussion was featured

Easiest way to learn machine learning.

There are some excellent resources here. But, I thought, the more helpful approach might be a plan and hence am adding one more answer to this list.My goal is to create a plan where you get to the level of average industry practitionerSkills you need: Ability to take Excel/CSV data sets, pre-process and visualize; Build a model and Visualize the resultsRecommended steps:1. Download one data set from Kaggle/UCI or anywhere from the Internet. I am deliberately not giving a link as I want you to…See More
Aug 20, 2014
0 Comments
Sai Reddy posted a discussion

Easiest way to learn machine learning.

There are some excellent resources here. But, I thought, the more helpful approach might be a plan and hence am adding one more answer to this list.My goal is to create a plan where you get to the level of average industry practitionerSkills you need: Ability to take Excel/CSV data sets, pre-process and visualize; Build a model and Visualize the resultsRecommended steps:1. Download one data set from Kaggle/UCI or anywhere from the Internet. I am deliberately not giving a link as I want you to…See More
Aug 18, 2014
0 Comments
Sai Reddy's discussion was featured

Currently the hot topics in Machine Learning research and in real applications.

In general the following are fairly hot in machine learning and data science communities that are interested in modeling:Deep learning: This seems to be breaking all benchmarks in accuracies in a variety of complex problems. NLP: Understanding sentiment, sarcasm, urgency and summarizing free flowing text are being studied extensively. Spectral methods and Kernel methods driven modeling methods are always hot problems.From an engineering perspective, there is a lot of emphasis in building newer…See More
Aug 9, 2014
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Sai Reddy's discussion was featured

Solution for pharmaceutical industry

Image taken from eletsonline.comINSOFE scientists developed novel algorithms that could be used by pharmaceutical industry to check fraud in clinical trials. Typically, Pharma companies follow a tedious, semi-manual approach to solve this all…See More
Aug 6, 2014
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Profile Information

My Website or LinkedIn Profile (URL):
http://in.linkedin.com/pub/devarapalli-sai-sree/4a/861/649/
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Operations Research, Statistical Programming, Vizualization
Professional Status:
Executive Management
Interests:
Other
What Other Analytical Website do you Recommend?
http://insofe.edu.in/

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