Category: Data Science
Top 5 Deep Learning Applications on Social Media For Businesses
Deep Learning – “It is undeniably mind-blowing” machine learning technique that teaches computers to do what comes naturally to humans: learn by example. It can […]
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Data Science – Barriers and Challenges
Big Data is so big that it makes it difficult to analyse. For instance, cardholder data should be managed in a highly secured data vault, using multiple encryption keys with split knowledge and dual/triple control. Big data also presents a tremendous opportunity for enterprises across multiple industries especially in the tsunami-like data flow industries i.e. Payments and Social media.
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DATA – Blue Ocean Shift Strategy (Boss)
BOSS – Blue Ocean Shift Strategy can actually help and create vision to focus on areas such as AI, blockchain for education, health & agriculture, create ecosystems using BigData analytics and IoT. To capture a quick snapshot of this strategy, certainly, Big Data appears to be most effective and efficient driver for Blue Ocean Strategy. Based on a limited set….
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Top Machine Learning Algorithms – Data Scientist Basic Tool Kit
Learning Machine Learning skills is widely seen as a game-changing advantage for organizations, especially those with data-driven operations, as it has the potential to provide significant benefits. Nowadays, the most common term used to describe digital communication tools is social media platforms. The main aim of this written communication is to explicate and exemplify the prominent machine learning algorithms.
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Data Analytics Basics – Introduction to Data Science For Marketeers
How AI and ML are now changing the work style and methodologies of marketing. Digital marketing cannot be run as just a computerised version of the traditional market or print media. The main and exciting use cases of data science and big data analytics are exciting and make the marketing job even more exciting. Some may say it’s getting more of a technology job as now it involves predicting, prescribing, planning, and forecasting.
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Machine Learning – Introduction to Regression Analysis
In Machine Learning regression analysis is used just to understand how to establish a relationship between independent variables and dependent variables. How independent variables going to effect dependent variables. Whether there is a strong relationship or just a casual relationship between IV and DV. Machine learning is a goal not a technique in this regard while linear regression is. ML can be achieved through many different means and techniques. In short, we can say this
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AI The Epicenter of eCommerce
In our todays online shopping how much is artificial intelligence. How artificial intelligence can help retailers to deliver the highly personalized experiences shoppers desire. Ant colony optimization algorithm (To formulate training feed-forward neural networks with ant colony optimization) to obtain the users’ preference information are widely used in todays ecommerce business for comparison-shopping to solve the problem of the user bias’ filtering and learning. The performance improvements are important to both consumers / buyer and sellers / merchants.
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Data Science of Payments
How come my bank knows what I am going to buy next, how come my internet browser offering me add on something which I was searching on google few minutes or days backs. How do they know my voice or can recognize my picture without any human intervention. Answer is much simpler then it looks or simpler then the complexity of out own thought process. Use of deep learning
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NFC as a Payment Channel in Mobile Financial Services
Why cant you and me get some small dust out of it. NFC is use since ages but never gorton attraction and attention we all know technically NFC is a wireless communication technology that permits data transfer over distances of up to 10 cm based on the ISO/IEC 18092 standard. Based on Radio Frequency Identification (RFID) technology, it has been used in various industries including retail, automobile, medical, transportation, and manufacturing.
