KDnuggets
AUGUST 16, 2019
As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.
Analytics Vidhya
AUGUST 12, 2019
Overview Facing issues trying to install Python on your Linux, Mac or Windows machine? This article is for you! Step-by-step walkthrough on how to. The post Everything You Ever Wanted to Know About Setting up Python on Windows, Linux and Mac appeared first on Analytics Vidhya.
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Dataconomy
AUGUST 15, 2019
Banking as a Service (BaaS) is the democratisation of financial capabilities that have fiercely been protected, isolated and hidden in silos for hundreds of years by banks. The fact that BaaS opens up banks’ capabilities and essentially empowers anyone to be able to create their own financial products, goes against. The post The Layman’s Guide to Banking as a Service appeared first on Dataconomy.
Smart Data Collective
AUGUST 15, 2019
No matter what industry you’re in, identifying creative ways to cut costs is always an important goal. From small startups to major corporations, cost-saving tactics should be an important area to explore. Even when your business cost and costs of production aren’t growing exponentially, chances are everything around you is. Cost of living is rising; customer acquisition is more difficult than ever in such a competitive landscape; and suppliers are looking to increase their profits by upcharging
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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?
KDnuggets
AUGUST 12, 2019
Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.
Analytics Vidhya
AUGUST 13, 2019
Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
AUGUST 13, 2019
We are no strangers to technological advancement. We are positively immersed and surrounded in it. It seems that no matter where one looks, there is the prominent force of technology and rapid digitalisation present in some way. The digital era is well and truly here, and we are becoming increasingly familiar and reliant on it. We wake up and reach for our smartphones, we book our rides to the office on them, order our food on them, do our work on them… It is something that we cannot escape, as
KDnuggets
AUGUST 12, 2019
If you are diving into AI and machine learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers.
Analytics Vidhya
AUGUST 15, 2019
Overview Hackathons are a wonderful opportunity to gauge your data science knowledge and compete to win lucrative prizes and job opportunities Here are the. The post Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches appeared first on Analytics Vidhya.
DataRobot
AUGUST 15, 2019
Pepper Spain is one of the leading providers of consumer finance services in Spain, working with point-of-sale retailers across all industries to give them the best financing options for their business needs. Part of what makes Pepper Spain so successful is knowing their customers intimately, working with them to engage in a long-term and fruitful financial partnership.
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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.
Smart Data Collective
AUGUST 16, 2019
Predictive analytics is changing the future of weather predictions. A growing number of meteorologists are using big data to make more reliable predictions. A 2017 study by Pennsylvania State University addressed the benefits of big data in weather analysis. Mohammad Mahdi Kamani, a doctoral student and professor James Wang said that big data has simplified weather predictions.
KDnuggets
AUGUST 14, 2019
At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.
KDnuggets
AUGUST 13, 2019
Creating effective data visualisations is a core skill for data scientists. This tutorial will guide you through how to easily develop interactive visualisations using the Python library plotly.
KDnuggets
AUGUST 16, 2019
Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.
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.
KDnuggets
AUGUST 14, 2019
Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how an alternative, called Domain-Specific Language Processing, can mine valuable information from data by following your guidance and using the language of your business.
KDnuggets
AUGUST 15, 2019
Predictor collinearity (also known as multicollinearity) can be problematic for your regression models. Check out these rules of thumb about when, and when not, to be concerned.
KDnuggets
AUGUST 14, 2019
An solid overview of the Poisson distribution, starting from why it is needed, how it stacks up to binomial distribution, deriving its formula mathematically, and more.
KDnuggets
AUGUST 16, 2019
Here, I will attempt an objective comparison between all three frameworks. This comparison comes from laying out similarities and differences objectively found in tutorials and documentation of all three frameworks.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
AUGUST 13, 2019
The amount of time I had to put in to organize the AI Society left me sometimes sleep-deprived but it was definitely worth it. It was also one of the main factors why I got the job in Machine Learning after all. I hope that this article will inspire you to create your own AI study group!
KDnuggets
AUGUST 12, 2019
Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.
KDnuggets
AUGUST 15, 2019
Check out this introductory guide to completing simple tasks with the command line.
KDnuggets
AUGUST 14, 2019
Also: Top 13 Skills To Become a Rockstar Data Scientist, Top 10 Data Science Leaders You Should Follow; What's wrong with the approach to Data Science?
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
KDnuggets
AUGUST 15, 2019
The lineup of experienced, thought-leading speakers at Data Driven Government, Sep 25 in Washington, DC, will explain how to use data and analytics to more effectively accomplish your mission, increase efficiency, and improve evidence-based policymaking.
KDnuggets
AUGUST 15, 2019
The positions require research and teaching expertise in AI/Data Science, or related areas including Data Extraction, Data Visualization, Machine Learning, and Intelligent Actuators.
KDnuggets
AUGUST 13, 2019
Help develop new e-science methods that fundamentally integrates Deep Learning and Multivariate analysis. The postdoc position is full-time for a period of two years.
KDnuggets
AUGUST 15, 2019
While the process of building simple, domain-specific chatbots has gotten way easier, building large scale, multi-agent conversational applications remains a massive challenge. Recently, the Uber engineering team open sourced the Plato Research Dialogue System, which is the framework powering conversational agents across Uber’s different applications.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
KDnuggets
AUGUST 13, 2019
Umea University, Sweden is seeking a PhD-student in computational science with focus on chemistry. The position is for 4 years of research including courses on graduate level.
KDnuggets
AUGUST 12, 2019
Chris Wylie, the whistleblower who exposed Cambridge Analytica, will headline Big Data LDN 2019 programme, along with over 100 speakers at this free to attend event, Nov 13-14, London.
KDnuggets
AUGUST 13, 2019
The core Bayesian idea, when learning from data, is to inject information — however slight — from outside the data. In real-world applications, meta-information is clearly needed. John Elder's Predictive Analytics World keynote covers this and more. PAW London takes place 16-17 Oct.
KDnuggets
AUGUST 14, 2019
Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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