5 Marketing Tips for Solopreneurs

It’s a fantastic feeling to have a business idea, and boldly go solo and execute it. Once the business is established, the onus is on letting the maximum number of people to take notice.
Strategy-driven Marketing is not an easy task, especially for solopreneurs. With digital taking over the world, Marketing is now broadly classified into online and offline.

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How to Maximize E-Commerce Conversion Rate by Enhancing User Experience.

The entire idea behind offering a better UX is to make shopping experience far more intuitive that leads to maximizing E-Commerce conversion rate. But when we talk of UX, we miss out on something called a User Journey. The fundamentals…
The post How to Maximize E-Commerce Conversion Rate by Enhancing User Experience. appeared first on Tatvic Analytics.

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Learning from users faster using machine learning

I had an interesting idea a few weeks ago, best explained through an example. Let’s say you’re running an e-commerce site (I kind of do) and you want to optimize the number of purchases.
Let’s also say we try to learn as much as we can from users, both using A/B tests but also using just basic slicing and dicing of the data.

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Computed IDs and privacy implications

Thirty years ago, a lot of US states thought it would be a good idea to compute someone’s drivers license number (DLN) from their personal information [1]. In 1991, fifteen states simply used your Social Security Number as your DLN. Eleven other states computed DLNs by applying a hash function to personal information such as name, birth date, and sex.

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How much of success in life is luck instead of skill?

How much of MLB teams’ success is due to skill, and how much due to luck? We have a pretty good idea of the answer to that. But what about success in life, in general? If a person is particularly successful in their chosen field, how much of that success is due to luck?That’s the question Robert Frank asks in his 2016 book, “Success and Luck.

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Learning Data Science – 4 untold truths

Did you flirt with the idea of learning data science? You are not alone. This has been a really hot topic in the last few years and it will be one in the upcoming few, for sure. Yet, very few people actually become data scientists.
Why?
Well, part of the problem is that many aspiring data scientists don’t know what to expect from this field.

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PyCon Lithuania 2019 and a keynote on “Citizen Science with Python”

I’ve had the great pleasure of attending PyConLT 2019 – my first trip to Lithuania. I had no idea what to expect (I’ve never been to this part of Europe) – Vilnius is a lovely city full of lovely Pythonistas. There’s a bunch of lovely art hanging underneath bridges, an amazing Soviet Palace of Arts and Sports and a number of castles – it really is very lovely here.

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Collaborative Filtering using Alternating Least Squares

Collaborative filtering is commonly used in recommender systems. The idea is if you have a large set of item-user preferences, you use collaborative filtering techniques to predict missing item-user preferences. For example, you have the purchase history of all users on an eCommerce website. You use collaborative filtering to recommend which products a user might purchase next.

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