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An ode to the analytics grease monkeys
Analytics is not one time job. It needs to be automated, deployed and improved for future business analytics requirements. Here an IBM expert discusses about development & deployment of analytics assets and capabilities of it.
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Bad Data + Good Models = Bad Results
No matter how advanced is your Machine Learning algorithm, the results will be bad if the input data
is bad. We examine one popular IMDB dataset and discuss how an analyst can deal with such data.
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 6 areas of AI and Machine Learning to watch closely
Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.
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The Top Predictive Analytics Pitfalls to Avoid
Predictive modelling and machine learning are significantly contributing to business, but they can be very sensitive to data and changes in it, which makes it very important to use proper techniques and avoid pitfalls in building data science models.
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Data Science of Sales Calls: 3 Actionable Findings
How does AI help sales and marketing teams in the organisation? Let’s understand Dos and don’ts of sales calls with the help of analysis of over 70,000+ B2B SaaS sales calls.
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More Data or Better Algorithms: The Sweet Spot
We examine the sweet spot for data-driven Machine Learning companies, where is not too easy and not too hard to collect the needed data.
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 The Most Popular Language For Machine Learning and Data Science Is …
When it comes to choosing programming language for Data Analytics projects or job prospects, people have different opinions depending on their career backgrounds and domains they worked in. Here is the analysis of data from indeed.com with respect to choice of programming language for machine learning and data science.
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Text Mining Amazon Mobile Phone Reviews: Interesting Insights
We analyzed more than 400 thousand reviews of unlocked mobile phones sold on Amazon.com to find out insights with respect to reviews, ratings, price and their relationships.
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Social Media for Marketing and Healthcare: Focus on Adverse Side Effects
Social media like twitter, facebook are very important sources of big data on the internet and using text mining, valuable insights about a product or service can be found to help marketing teams. Lets see, how healthcare companies are using big data and text mining to improve their marketing strategies.
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How To Stay Competitive In Machine Learning Business
To stay competitive in machine learning business, you have to be superior than your rivals and not the best possible – says one of the leading machine learning expert. Simple rules are defined here to make that happen. Let’s see how.
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6 areas of AI and Machine Learning to watch closely
The Most Popular Language For Machine Learning and Data Science Is …