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How does Machine Learning affect our Cricketing experience?

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The fever of the World Cup T20 is at its peak. Now waiting for the final results, a thought came into my mind, “How should teams prepare their players to face the opposition?”. The obvious answer is using past Statistics of the opponent team and its players to derive data based decisions like->Who plays best on the no 3 position? >Which bowler to give the last over to, given the players on the crease? But Sports Analytics as they call it has been taken to another level now. The questions now asked are: >How fast a player moves, >How far he travelled during a runup Pathbreaking advent in technology has ensured that the experience of followers of the game has become finer and more nuanced. It is no longer just about what is happening on the field but about what happened on similar occasions in the past, and what could possibly happen given the past records of the team and the players. Insights like if Dwayne Bravo takes >2 wickets west indies win 9 out of 10 matches etc Machine Learning Video Analytics involving HMM based machine learning framework is used in Sports to discover knowledge, structures, patterns and events […]

Machine Learning at Microsoft

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Microsoft is gaining grounds based on their Artificial Intelligence, machine Learning and Software bots. Investors were impressed at the company’s Build Developers Conference in San Francisco In March and shares went up immediately. “Machine learning is the DNA of Microsoft. It’s everywhere,” says Amanda Papp, a senior machine learning and data science recruiter. Employees across Microsoft are creating new technology, refining existing products, enhancing business operations and developing their own machine learning expertise as applied scientists, data scientists, software engineers and program managers. “You can apply machine learning to search, advertising, security, gaming — and that’s just the tip of the iceberg.” says Amanda. What do they look for while hiring for the job role? Experience with researching or applying machine learning algorithms to solve real-world problems Passion for making a difference on a global scale And it doesn’t matter what domain you’re familiar with; skills in anything from bioinformatics to security to social media “can easily transfer to a number of machine learning roles at Microsoft,” she says. Are you ready for the challenge? Become “Machine Learning Ready” – Ivy Professional School is Starting its Machine Learning Programme on 9th April’16 as a classroom session in Bangalore. For Students in […]

New Insights from Machine Learning

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The sheer volume and unstructured nature of the data generated by billions of connected devices and systems presents significant challenges for those in search of turning this data into insight. For many, machine learning holds the promise of not only structuring this vast amount of data but also to create true business intelligence that can be monetized and leveraged to guide decisions. In the past, it wasn’t possible or practical to implement machine learning at such a large scale for a variety of reasons. Recently, three major advances have enabled more organizations to take advantage of machine learning to enhance business intelligence: 1.Bigger data (and more importantly, better labelled data) 2.Better hardware throughout data centers and high performance computing clusters 3.Smarter algorithms that can take advantage of data at this scale and learn from it Machine learning, generally speaking, refers to a class of algorithms that learn from data, uncover insights, and predict behaviour without being explicitly programmed. Machine learning algorithms vary greatly depending on the goal of the enterprise and can include various algorithms targeting classification or anomaly detection, clustering of information, time series prediction such as video and speech and even state-action learning and decision making through the […]

Banking on Big Data: HDFC Bank

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HDFC Bank looked at Big Data analytics as a tool to generate more revenue back in 2004 to get valuable insights on customers and markets – important information from a lender’s perspective. “Back in 2004, we set up a basic backbone for analytics in terms of an enterprise data warehouse in the bank—we were one of the early ones to set up the data warehouse. And the driver for that was can we track the differentiation to be given to customers based on their relationship value with HDFC Bank,” said Munish Mittal, senior executive vice-president of IT at HDFC Bank. Use of Analytics has helped HDFC bank in the following areas: -Analytics helps to track if the customer is regularly banking or is just a salary account, i.e his financial habits. We wanted to address the question of how to become the primary bank for these customers. -“Using analytics, we offered services such as Net banking to customers to make it more convenient, as they didn’t have to repeatedly visit branches, didn’t have to make a call or go to ATMs multiple times,” said Mittal. -Analytics gives the bank, insights into personal habits of the customers. It allowed promoting offers accordingly. […]

The importance of Business Intelligence

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The influence of data on the process of product development is easily seen in every industry. Before the “data-ization” of Business, all lot of decisions were based on pure gut feel like- “I think this is a unique concept” or “There seems to be a market gap in the market for this and this product should work”. Now insights into data provide a strong background for taking any decision and this is done without any hesitation or delay with the help of multiple market research  and data analytics tools. “Customers today are evolved, engaged, informed, digitally savvy and seek more value,” says Peter Gartenberg, general manager, enterprise and partner group, Microsoft India. “To keep pace with the growing customer needs, attain the competitive advantage and expand the customer base, businesses are now looking for tools to not just address the market and customer demands, but also to be prepared to lead the way in future. With data being amassed at a rapid rate, it has created the demand for tools that are intuitive and simple for enterprises to be empowered with the ability to derive insights from the data.” Where did it all begin? Rapid digitisation has led to the availability […]

Analytics Crossword – Brain Tickler! Statistics (Expert)

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Click the link to visit our Blog and Post your Answers! Across 1.A member of the CONTROL GROUP or the TREATMENT GROUP. (7) 5.In random sampling, sometimes the sample is drawn separately from different DISJOINT SUBSETS of the population (7) 6.If a function only increases or only decreases (8) Down 2.The substance or procedure studied in an EXPERIMENT or OBSERVATIONAL STUDY. (9) 3.An observation that is many SD’s from the MEAN (7) 4.A “dummy” TREATMENT that has no pharmacological effect (7)  

Webinar- Your Career in Business Analytics: How to succeed

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We will always have questions when we consider a new career path or switching to a new domain.Especially so when the path or domain is “Analytics!” Join us for our Webinar on “Your Career in Business Analytics: How to Succeed” Get tips and tricks of success by our Expert. Date: 5th May Time: 9 pm to 10 pm Register here to receive your meeting ID

HyperVerge- Featured Machine Learning Startup of the Week

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HyperVerge was founded by a five-member, Ex IIT Madras team of  Kedar Kulkarni, Vignesh Krishnakumar, Kishore Natarajan, Saivenkatesh Ashok Kumar, and Praveen Kumar. They function out of Silicon Valley and also have offices in Bangalore and Chennai in India. What is their Story? They started as a team of engineers from IIT Madras who were at the forefront of representing their college and country in various robotics competitions across the world.  During their student life itself, they took up consulting projects to build prototypes for the inspection of overhead lines for railways, inspection of biscuits, inspection of raw rubber, identification of grain boundaries, classification of weld defects and auto-enhancement of images. Starting with a seed funding of Rs. 6 lacs,they developed patent-pending technology for organization of images by identification of people, places, scenes and events in images. What do they do? HyperVerge uses the technology of Machine learning and deep-learning to analyze and process consumer images and videos on the cloud Their upcoming mobile application (Silver) will help users automatically organize all the images on their phone. It utilizes deep-learning and convolution neural networks to recognize classify and process vast amounts of image data. These systems accurately recognize faces, scenes, […]

Analytics Crossword – Brain Tickler! Excel (Easy)

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Thanks Arpendu for attempting the expert crossword on Statistics! You were very close to the answer! Just replace Onetoone with Monotone! Congratulations! Next up- the Excel crossword! Let’s see who answers first! Its Easy Across 3.The function returns the position of a value in a given range. (6) 5.The function looks for a value in the leftmost column of a table, and then returns a value in the same row from another column you specify. (8) 6.The function returns a specific value in a two-dimensional or one-dimensional range. (6) Down 1.The function returns a value from a list of values, based on a position number. (7) 2.Adds the numbers in a field (column) of records in a list or database that match conditions that you specify. (5) 4.The function is used when your comparison values are located in a row across the top of a table of data, and you want to look down a specified number of rows. (8)

Career in Business Analytics-How to succeed

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  Our webinar on the 5th of may was suitably used by many students and working professionals to ask their Analytics related questions and get their doubts cleared about career options in Analytics. Do take out time to read this valuable insight. Business Analytics Industry & Career Opportunities Analytics Gartner defines analytics as a process by which insights are extracted from operational financial and other forms of electronic data, internal or external to an organization. Analytics can be used to create value using different types of Data: Structured data-Relational db, spreadsheets etc Unstructured data-social media blogs, web pages, chat history, call center data etc Global Analytics Industry Analytics Industry today- USD 121 billion CAGR- 9.7%-Analytics Software Market CAGR- 14.3%-Analytics Services Outsourcing   Indian Analytics Industry 1 billion USD revenue generating market and it is to cross 2 billion USD by FY2018 Analytics Firms in India  (2014)  –  600+ out of which there are Startups 500+ Product Firms 200+ Integrated Firms 100+   Analytics Implementation across Industries according to extent of use   Analytics job market in India Highest % given to Risk Analytics (18%) followed by BI/Reporting at 14%. The Customer Insight function featured among the least for job postings […]

Ivy’s Summer Analytics Training cum Internship programme.

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In case you have been very busy all round the year and are now looking to upgrade your Analytics Skills this summer, this is your opportunity! Join the Data Science Summer Analytics Programme at Ivy® Professional School (Ivy) to learn the latest in Analytics. Ivy is a pioneer in the Big Data Analytics and Data Science training fields in the country since its inception in 2007. Ivy’s programmes on Business Analytics, Big Data, Data Visualization and Advanced Data Science Certification have become benchmark courses for several analytics companies for training and skill development. The newly launched Machine Learning with Python programme is a notch above the rest. Ivy is the official training partner of Genpact,  Capgemini, HSBC, eBay/Paypal, ICRA Online, ITC Ltd., Cognizant, mJunction, Lexmark  Inc., ITC Infotech, etc See Also: Data Science Summer Analytics at Ivy Pro School  Course Details: 1.Advanced Excel (24 hrs) 2.MS-Access and SQL (21 hrs) 3.Data Science with R (24 hrs) 4.Choose between electives (one or more): -Machine Learning with Python (32 hrs) -Data Visualization using Tableau (24 hrs) -Big Data Hadoop (24 hrs)   Who can apply: Students pursuing Masters/Bachelor’s degree in >>Engineering >>Information Technology >>Economics/Statistics/Econometric/Mathematics >>Commerce >>MBA   Duration: 2 to 2.5 months   […]

Article review: Soaring Salary for Data Scientists

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The Times of India agrees that Data Scientists are now earning more than Chartered Accountants or even Engineers. According to a recent article published in the TOI – “Data scientists with around 5 years’ experience are earning over 75 lakh per annum as compared to 8-15 lakh for CAs and 5-8 lakh for engineers with the same experience level.” Shocked! Yes it is true. Look at some of the other statistics mentioned in the article:- –India will face a demand-supply gap of 2,00,000 analytics professionals over the next three years. –Even in the US, only 40 out of 100 positions for analytics professionals can be filled –In the US, data scientists get upwards of $2,00,000 per annum   The question is why is the there a sudden spurt in demand? What is so special about being a data Scientist? The answer is that companies across domains are trying to utilize data generated across all mediums for research to provide valuable data based decisions. Data analytics professionals are primarily mathematicians, statisticians; database/data warehouse engineers, data miners and IT professionals with data warehousing skills. A data scientist is a hybrid of many of the above listed skills and, therefore, a rare breed. […]

Job Alert

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  Location: India Skills: Actuaries Apply to :info@ivyproschool.com

Companies using R

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“R is a language and environment for statistical computing and design.” It has brought about revolution in the Big data Analytics space due to its extensive variety of statistical and non statistical applications. Since R has almost 5,000 packages (libraries of functions) large portions of which are committed to particular applications, one does not need to be an R Programming genius to begin developing applications. Below is a List of companies which use R programming tool in their business operations. ANZ Bank ANZ, the fourth largest bank in Australia, using R for credit risk analysis Bank of America Bank of America uses R for reporting. Benetech Saving the World with R: Benetech is a non-profit organization contracted by the likes of Amnesty International and Human Rights Watch to answer thorny geopolitical questions through the use of data and science. Bing Social Search Awareness: Jesse Bridgewater works on “social search awesomeness” for the Bing search engine, and is setting up his dev environment with the necessary tools including python, vim, and R. CESCE CESCE is the export credit agency (ECA) of the Spanish government, operating internationally but principally focused on Europe and South America. CESCE also operates in the private sector in […]

Protected: Analytics Jobs across the Web

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5 Secret tips to crack an Analytics Interview! Shh!

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You are hunting for a job and you ended up applying for a whole lot of Analytics jobs! Whew! What next? Interview! Yes that’s what’s coming. Are you prepared? At Ivy Pro School we have trained more than 10,000 candidates on Analytics. Our job doesn’t end there. We go all out to help them prepare for Placement tests and Interviews. Based on our immense experience in this, let me give you some heads up on how to deal with an Analytics Interview. Generally Interviewers are not looking for Mathematics gurus or Statistics geeks. They look at very basic traits in a candidate – 1.Structured thinking process 2.Problem Solving skills 3.Basic statistics knowledge 4.Comfort with application of Analytics tools 5.Business/domain knowledge 6.Flair for numbers 7.Communication skills Any interview process to assess all the above includes >>Written test– Checks Flair for numbers/ Basic statistics/ structured thinking. The pattern of these written tests may be similar to CAT/XAT or any of these MBA entrance tests with preferable topics being data Interpretation, Logical reasoning and Basic probability. SO if you can lay your hands on any CAT preparation books, it would help. >>GD – Checks communication skills. Generally has around 6-7 people with judges judging […]

Analytics Job Alert – Delhi NCR – Good Pay – Good Work

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A funded peer to peer lending startup, which is growing aggressively, is looking for a Business Analyst / Data Analyst as per the details given below (very good opportunity): – Role : Business / Data Analyst – (entails modeling, data handling, model development, validation using SAS / R etc.)  – Domain :  Peer to Peer Lending / Financial Risk – Education Background : B.Sc. / M.Sc. (Maths, Stats,  Eco), MBA, B.Tech., B.E., M.Tech, MCA – Work Experience : Minimum 1 year experience – Pay Scale – 6 Lakhs to 8 Lakhs depending on the knowledge level. – Key Skills: R or SAS, Advanced Excel, Statistical Modeling (Logistic, Linear Regression, Time Series, Clustering, etc.) – Location: Delhi NCR – Should have completed Business Analytics certification at Ivy Professional School Send your resume to info@ivyproschool.com at the earliest by 31st May, 2016 by 11 am.

Introducing “School of Data Science”

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Did you know People use Analytics daily for Weather forecasts, Predicting disease, Preparing for emergencies, Medical research, Political campaigns, Tracking sales, Genetics, Insurance, The stock market and Quality testing But ever wondered how much Analytics or Statistics have we been exposed to in our high school or even during our graduation? Excerpts from an article on Analytics you would find interesting – “For those who call themselves analysts, in any field, statistics is not a nice-to-have but a need-to-have. –Forensic analysts use statistics to find causational evidence rather than circumstantial evidence. –Financial analysts use statistics to balance risk probabilities associated with reward probabilities. –Medical research analysts use statistics to determine incremental benefits of new treatments over existing therapies. –Taxation analysts use statistics to determine the likelihood of tax filing errors and the probability of recovering outstanding liabilities. –Marketing analysts use statistics to determine the perceptions of customers as compared to the realities of the market. –Weather analysts, economic analysts, epidemiological analysts, sociological analysts, supply chain analysts, information technology analysts, and the countless number of other types of analysts rely on statistics to do their jobs. Without firsthand knowledge of statistics, these analysts can do the mechanics if their respective jobs […]

5 Secret tips to crack that Analytics interview- II

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  In the 1st part of this series we gave you a macro view of “What to be prepared for” during an Analytics Interview. The 2nd part gives you some examples of case studies/puzzle questions which you can practice and get an idea of the type of questions during the interview. This is the “hands-on” bit of practicing for an Analytics Interview! Written test – Example 1 2 containers labelled A and B are filled with red and blue marbles in given quantities: – Container      RED      BLUE A                         6             4 B                       60            40 Each container is shaken vigorously. After choosing 1 of the container, without looking, draw out a marble. From which container you have the maximum probability of choosing a blue marble? Ans. – (a) Container A (6 red, 4 blue) (b) Container B (60 red, 40 blue) (c) Equal chances from each container. Example 2 For 1 month, 500 elementary students kept a daily record of the no. of hours […]

How is Big Data Analytics used in Marketing

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Big data is being used in marketing as extensively as any other domain. If you are a smart marketer you relying on data to inform, test, and iterate their strategies. And even though data and analytics will never replace the creative minds that are at work behind the best marketing campaigns, they certainly can provide those minds with incredible tools and insights that can help them perform even better. Big data and analytics can improve your marketing efforts in many ways, including the following: 1. More clearly define your ideal customer. In the past, marketers frequently had to make best guesses as to the demographics of their ideal market segment, but that is no longer the case. With big data, companies can easily see exactly who is buying and tease out even more details about their customers, including things like which websites they frequent, which social media channels they use, and even which buttons they click while on a website. 2. Optimize customer engagement. Data can provide insights into who your customers are, where they are, what they want, how often they make a purchase, when and how they prefer to be contacted, and many other important factors. Companies also […]
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