Big Data Data Science with Practical Machine Learning

Big Data Data Science with Practical Machine Learning

 

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About The Event

 Venture into the world of Big Data Analytics and Data Science with Practical Machine Learning

 

 

Big Data, Data Science with Practical Machine Learning Workshop on May28th, 29th, 2016
 
Big Data refers to the data which is so huge that it becomes practically impossible to handle it using traditional computers or devices. Big Data Analytics empowers you to extract useful information that follows certain regular patterns. When data size grows exponentially, it is difficult to manage and process the available data using trial-and-error methods. So in the continuous expanding data space, you need some methods of analysis which will help you evaluate any incoming data.

Big Data Analytics

Machine Learning helps you in the extraction of patterns present in the data which are non-trivial. Big Data is everywhere, be it webspace, social media, supermarket transactions, bank transactions etc. Big Data is data which is so huge that it is unable to process through traditional statistical methods. The workshop titled “Big Data, Data Science with Practical Machine Learning” gives the participant a bird’s eye view of Big Data technologies. The participants will appreciate the applications of Machine Learning starting from predicting weather, diagnosing malignant diseases based on the history of patient’s records to recently developed Google’s self driving car. It is a two-day workshop and will be held on May 28th and 29th, 2015 at Dhi Leadership Center, Innovation Park, Bannerghatta Road, Venugopal Reddy Layout, Arakere, Bengaluru, Karnataka from 9:30 am to 5:30 pm.

Big Data

The workshop will enable the attendees to use different machine learning algorithms based on the available data in a practical scenario. These demonstrations will be done via User Interface (UI) tools and sample production data. The participants need not have expert programming skills, but basic computer skills are advised.

Who are the target audience?

The target audience includes:

 

  • Anyone who is good in Maths and has keenness to learn analytic skills

 

  • Project Lead

 

  • Tech Lead

 

  • Team Lead

 

  • Architects

 

  • Data Analysts

 

  • Senior Software Engineer

 

  • Programmer Analyst

 

  • Chief Technical Officer

 

  • System Analyst

 

  • People from Telecom domain

 

Topics Covered in the workshop

 

The workshop will emphasize on the following topics:

  1. Overview of Big Data and Machine Learning

            a. Relevance of Big Data 

            b. Relevance of Machine Learning

            c. Artificial Intelligence and Machine Learning

            d. Use Cases across verticals

            e. Overview of Supervised and Unsupervised Machine Learning Techniques

2. Data Engineering with Hadoop and Spark

            a. Hadoop and Map Reduce

            b. Intro to Spark ad RDDs

 

3. Data Analytics Life Cycle and Tools for Business Analytics with focus on Weka

            a. Data Science Life Cycle

            b. Real World Data Sets

            c. Introduction to Weka

            d. Demonstration of working with real life dataset in Weka


3. Regression Models

            a. Linear  Regression

            b. Logistic Regression

4. Supervised Learning Models

            a. Support Vector Machine

            b. Decision Trees

            c. Boosting, Bagging and Stacking

            d. Random Forest

5. Unsupervised Learning Models

            a. K-means clustering

            b. Alternative Clustering Models

6. Association Rule Mining Algorithms

            a. Apriori Algorithm

7. Text Mining Use Cases and Algorithms

            a. Named Entity Resolution

            b. Social Media Analytics 

8. Summary, Wrap Up with  a practical end to end case study

 

 

All the Machine learning algorithm will have practicals using Weka tool

Cloud Computing

Benefits / Key takeaways from the workshop

This course will enable you to:

  • Explore data for finding patterns and relationships not apparently visible (Data Mining)

 

  • Predict the relationship between different features governing the data (Predictive Modeling, Predictive Analytics)

 

  • Understand the problem in business, analyse the problem, design and model the solution

 

  • Use tools like Weka, ScikitLearn for Data Analytics and Prediction

 

  • Solve business problems using Analytics, Predictive Modelling (in Weka) in different domains (like web, text, image, reviews)

 

  • After attending this workshop, there is high possibility of the attendees to be hired as Data Analysts or Data Scientists by reputed companies which are the the most lucrative jobs in the IT industry

 

  • If any attendee wishes to shift his/her career to Business Analytics field, this is a great opportunity to get a hand-on experience in this workshop and get hired by companies and startups working in the Data Analytics

 

  • Companies across different domains can leverage the services of Data Scientists to foray into the field of Big Data Analytics and expect growth
  • Data Mining

About the Trainer(s)

The trainers are adept in Machine Learning algorithms and have years of industry experience handling projects related Big Data Analytics, Data Science, Cloud Computing. The trainers have great tutoring experience and have been invited to ivy league universities in India and abroad for guest lectures.

 

1. Dr. Srinivas Padmanabhuni is a Principal Research Scientist and Associate Vice President at an MNC, Bangalore, India. He has rich experience of more than 15 years in IT and Services Industry. He is a prolific, astute researcher who craves for new challenges. He has six granted patents, around 15 filed patents, one published book by Wiley, one book in process, several book chapters, multiple journal and conference papers, to his credit in addition to marquee invited talks and editorial positions. He obtained a doctorate degree in Artificial Intelligence from University of Alberta, Edmonton, Canada. Prior to Ph.D he secured his B.Tech and M.Tech in computer science from premier institutes in India Indian Institute of Technology (IIT), Kanpur and IIT, Mumbai respectively.  

 

 

 

2. Neelima Vobugari is founder of Tarah Technologies, http://www.tarahtech.com. She is a certified CRM consultant and a certified Data Scientist. She is an alumnus of John Hopkins University, Maryland, where she finished her specialization in Data Sciences. She has worked on interesting real-time data science and customer centric CRM projects. Before starting Tarah Technologies, she worked for giant IT companies including IBM. She was invited by the Chief Minister of Karnataka for the pre-budget session of Karnataka for representing the women entrepreneurs of Karnataka where she suggested the measures to be taken to encourage more women entrepreneurs. She has also attended the International Women Entrepreneur Conference held at Minneapolis, USA in 2013 and represented India.

 

 

Data Analytics 

  

 

 

 

 

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