Sat.May 30, 2020 - Fri.Jun 05, 2020

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Learn How to Visualize Geospatial Data in Jupyter using kepler.gl

Analytics Vidhya

Overview Geospatial data is goldmine right now and kepler.gl is a wonderful Python library for visualizing this geospatial data Learn how to use kpler.gl, The post Learn How to Visualize Geospatial Data in Jupyter using kepler.gl appeared first on Analytics Vidhya.

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I Reverse Engineered Monzo’s Content Marketing Strategy: Here’s What Marketers Can Learn

Dataconomy

App-only challenger banks have risen to try and push incumbents off their financial perch, and in this battle, content marketing has been a valuable tool in their repertoires. Have you ever wondered how they do it? If you’ve never heard of Monzo, it’s a UK-based challenger bank that has grown. The post I Reverse Engineered Monzo’s Content Marketing Strategy: Here’s What Marketers Can Learn appeared first on Dataconomy.

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How to Apply Crocker's Law for Feedback and Growth

Eugene Yan

Crocker's Law, cognitive dissonance, and how to receive (uncomfortable) feedback better.

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Data validation for NLP applications with topic models

Depends on the Definition

In a recent article, we saw how to implement a basic validation pipeline for text data. Once a machine learning model has been deployed its behavior must be monitored. The predictive performance is expected to degrade over time as the environment changes.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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5 Useful Excel Tricks to Become an Efficient Analyst

Analytics Vidhya

Overview Excel is a brilliant tool to perform data cleaning and data preprocessing in any analytics project Here, we showcase 5 useful Excel tricks. The post 5 Useful Excel Tricks to Become an Efficient Analyst appeared first on Analytics Vidhya.

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Employee Spend During the Pandemic: What Can Organizations Learn?

Dataconomy

It’s essential for organizations to be aware of shifts in employee spend that invite different risks. The data scientists at Oversight, an enterprise spend management software, reveal the ongoing spend shifts organizations face and how the pandemic has quickly reshaped travel and expense employee spend. A high-level look at the. The post Employee Spend During the Pandemic: What Can Organizations Learn?

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Web Security 101: Cross-Site Scripting (XSS) Attacks

Victor Zhou

Cross-Site Scripting (XSS) vulnerabilities are one of the most dangerous web security holes that exist. In this post, we’ll see an interactive demo of XSS and learn how to protect against it. This is the second post in my Web Security 101 series. If you’ve read my introduction to CSRF, some of the preamble below might look familiar… feel free to skip ahead a bit.

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6 Open Source Data Science Projects to Impress your Interviewer

Analytics Vidhya

Overview Utilize this time and work on your data science resume with these top open-source projects From Facebook AI’s computer vision framework to OpenAI’s. The post 6 Open Source Data Science Projects to Impress your Interviewer appeared first on Analytics Vidhya.

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Can AI-based smart messaging transform business?

Dataconomy

Many enterprise tech solutions either struggle or fail at the “last inch” between the user’s finger and their smartphone. Read about how AI-based smart messaging can retain users and enrich their experience. Even as enterprises have automated the back-end systems, a critical prerequisite for the success of process workflows is. The post Can AI-based smart messaging transform business?

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Searching for Answers

Alation

The post Searching for Answers appeared first on Alation.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Acme: A new framework for distributed reinforcement learning

DeepMind

Acme is a framework for building readable, efficient, research-oriented RL algorithms. At its core Acme is designed to enable simple descriptions of RL agents that can be run at various scales of execution — including distributed agents. By releasing Acme, our aim is to make the results of various RL algorithms developed in academia and industrial labs easier to reproduce and extend for the machine learning community at large.

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5 Powerful Python IDEs for Writing Analytics and Data Science Code

Analytics Vidhya

Overview Picking a Python IDE is an important choice for any analyst, data scientist, or programmer to make Here are 5 Python IDEs that. The post 5 Powerful Python IDEs for Writing Analytics and Data Science Code appeared first on Analytics Vidhya.

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Operationalising AI: a whimsical dream to grounded reality

Dataconomy

The most successful organizations have taken a very pragmatic approach to AI with use cases that solve nagging problems that could not be solved with traditional approaches. Let’s take a look at some of the use cases. AI is constantly evolving and, with every development, its value to businesses grows. The post Operationalising AI: a whimsical dream to grounded reality appeared first on Dataconomy.

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How to use Facebook Lead Ads to personalize your email campaigns

Twilio Segment

In this recipe, we’ll show you how to use Facebook Lead Ads to determine what a user is interested in—directly from the user themself. Then, we’ll show you how to use that data to drive revenue through personalized email campaigns.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Androids Encryption (Crypto) - Pwn2Win CTF 2020

Shreyansh Singh

crypto 115 - 108 solves We intercept an algorithm that is used among Androids. There are many hidden variables. Is it possible to recover the message? Author: andre_smaira Server: nc encryption.pwn2.win 1337 Challenge link Challenge files On connecting to the challenge service, we are given two options - Also, in the server.py file, we see there are two functions, enc_plaintext and enc_flag.

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Want to Ace Data Science Hackathons? This Feature Engineering Guide is for you

Analytics Vidhya

Overview Feature engineering is a key aspect in acing data science hackathons Learn how to perform feature engineering here as we walk through a. The post Want to Ace Data Science Hackathons? This Feature Engineering Guide is for you appeared first on Analytics Vidhya.

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How to build and automate a referral program for your business

Twilio Segment

With this recipe, you’ll learn how to identify your highest value users and then automate referrals for your business.

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