Practical Machine Learning

Practical Machine Learning

 

  • regular

    Sale Date Ended

    INR 19500
    Sold Out

Invite friends

Contact Us

Page Views : 132

About The Event

Venture into the world of Practical Machine Learning

 

 

Registration Fees 

Rs.19500 (300 US Dolloars)

 

Date:     Nov 21st to Nov 29th 2015

 

Timings: 8:30 pm - 10:00 pm, Indian Standard Time +5:30 GMT

 

Mode of Training: Online Instructor Led

 

Hurry up, and book your slot right away as the tickets are selling fast. Learn, explore and enrich your knowledge in Big Data technologies. Come, unleash the power of Practical Machine Learning by experts Dr.Srinivas Padmanabhnuni and Neelima Vobugari from the industry.

 

Contact:info@tarahtech.com

 

ph:9880644274

 

 

Certificate                          :   Yes

 

Practical Machine Learning from Dr.Srinivas Padmanabhuni & Neelima Vobugari

 


 
 

                    Tarah Technologies is glad to give you the opportunity to learn concepts of Machine Learning and Big Data from Dr.Srinivas and Neelima Vobugari from a practical angle. He is a veteran in IT industry having filed and raised multiple patents. Dr.Srinivas has a Ph.D in Artificial Intelligence from University of Alberta, Canada. He secured his B.Tech and M.Tech from IIT Kanpur and IIT Mumbai respectively.

                 Dr.Srinivas was spearheading research in Infosys till October 2015. He is the President of ACM India and has delivered invited lectures in universities and conferences across the world, some of them being Purdue (USA), CMU (USA), USC (USA), UoW (Australia), Mindef (Singapore), IIT(s) (India), IIIT(s)(India), NIT(s) (India) etc.

     Dr.Srinivas has consulted on practical problems across verticals ranging from financial services, retail, utilities to transportation leveraging his expertise in Analytics, Data Science, Machine Learning, Software Engineering and Enterprise Architecture

LinkedIn Profile: https://www.linkedin.com/in/spadmanabhuni

 

 

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.

 

 

Practical Machine Learning 

 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 webinar titled “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. 

Big Data

 

The online webinar 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 Mathematics and has keenness to learn analytic skills

 

  • Tech Lead

 

  • Architects

 

  • Data Analysts

 

  • Senior Software Engineer

 

  • Programmer Analyst

 

  • Chief Technical Officer

 

  • System Analyst

 

 

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. Regression Models

            a. Linear  Regression

            b. Logistic Regression

3. Supervised Learning Models

            a. Support Vector Machine

            b. Decision Trees

            c. Boosting, Bagging and Stacking

            d. Random Forest

4. Unsupervised Learning Models

            a. K-means clustering

            b. Alternative Clustering Models

5. Association Rule Mining Algorithms

            a. Apriori Algorithm

6. Text Mining Use Cases and Algorithms

            a. Named Entity Resolution

            b. Social Media Analytics 

7. Advanced Topics

            a. Deep Learning

            b. Social Network Analysis

 

 

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, attendees could be hired as Data Analysts or Data Scientists by reputed companies which are the most lucrative jobs in the IT industry

 

  • If any attendee wishes to shift his/her career to be a Data Scientist, this is a great opportunity to get a hands-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