KDnuggets
OCTOBER 7, 2019
Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.
Analytics Vidhya
OCTOBER 9, 2019
Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping. The post Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project appeared first on Analytics Vidhya.
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Dataconomy
OCTOBER 9, 2019
From the Cambridge Analytica scandal to GDPR and data breach headlines, the idea that consumers should know how their data is used is gaining traction with governments and consumer groups. What does this trend mean for companies that rely on consumer data for their business model? Right now, consumer data. The post Consumer data might be the new oil, but who gets to decide how it’s used?
Eugene Yan
OCTOBER 8, 2019
In-depth sharing on how to put machine learning systems into production.
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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
OCTOBER 7, 2019
As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.
Analytics Vidhya
OCTOBER 8, 2019
Overview A beginner-friendly introduction to the powerful SIFT (Scale Invariant Feature Transform) technique Learn how to perform Feature Matching using SIFT We also showcase. The post A Detailed Guide to the Powerful SIFT Technique for Image Matching (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
OCTOBER 11, 2019
There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions. This is one of the areas where a business dashboard can be useful. Big data has made business dashboards possible.
KDnuggets
OCTOBER 9, 2019
By the end of my week with the team, I managed to proudly cut two PRs on GitHub. I decided that I would write a blog post to knowledge share, not just to show that YES, you can too.
Analytics Vidhya
OCTOBER 6, 2019
Overview What are the next steps after you’ve deployed your machine learning model? Post-deployment monitoring is a crucial step in any machine learning project. The post Deployed your Machine Learning Model? Here’s What you Need to Know About Post-Production Monitoring appeared first on Analytics Vidhya.
Explosion
OCTOBER 11, 2019
Transformer models like BERT have set a new standard for accuracy on almost every NLP leaderboard. However, these models are very new, and most of the software ecosystem surrounding them is oriented towards the many opportunities for further research. In this talk, Matt describes how you can now use these models in spaCy to work on real problems and the many opportunities transfer learningfor production NLP, regardless of which software packages you choose.
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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
OCTOBER 7, 2019
Sinatra is a great web application library. It can be used to streamline development in Ruby and several other programming languages. A number of articles on Dzone have been written on using Sinatra to develop web applications and other solutions, but there didn’t appear to be an article on setting up Sinatra. We decided to provide a quick tutorial on this process.
KDnuggets
OCTOBER 10, 2019
While you may be focused on your performance during your next job interview, landing that interview can be just as hard. Check out these tips for finding and securing an interview for a machine learning job.
Analytics Vidhya
OCTOBER 10, 2019
Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be. The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya.
Explosion
OCTOBER 9, 2019
We’re proud to accept the META Seal of Recognition at META-FORUM in Brussels, along with Mozilla. The META-FORUM is an international conference series backed by the European Union on powerful and innovative Language Technologies for a multilingual information society.
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.
DataCentric podcast
OCTOBER 6, 2019
In the data era, data protection is everything. Cyber resilience can mean life and death for companies that rely on intelligence to drive business. So what’s more important? Securing your organization? Or being able to quickly recover from cyberattacks without having to pay ridiculous ransom amounts to a group of hackers in Eastern Europe? The answer is “both.
KDnuggets
OCTOBER 11, 2019
You have heard the expression “there is no such thing as a free lunch” – well in machine learning the same principle holds. In fact there is even a theorem with the same name.
DataRobot
OCTOBER 8, 2019
Recently, my Facebook feed has become clogged with advertisements. Many of those advertisements are selling products that aren’t a good match for me, including ones for shampoo and hair care products!
Smart Data Collective
OCTOBER 8, 2019
While sports analytics is hardly a new idea, how it is being used in hockey has changed dramatically. Coaches no longer have to wait for newspapers to print out statistics. Fans are not left to wonder how their favorite players are truly excelling. What has brought about this change? Big data. Big data has taken all forms of sports analytics by storm, but we are only now really beginning to see what it can do for hockey.
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
OCTOBER 10, 2019
We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.
KDnuggets
OCTOBER 10, 2019
If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.
KDnuggets
OCTOBER 9, 2019
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
KDnuggets
OCTOBER 7, 2019
Having trouble explaining why applied math matters to your non-specialist friends and colleagues? As valued members of the applied math community and ambassadors of SIAM, review these short animations and share them with your interested networks! Help us show that math matters and why.
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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
OCTOBER 9, 2019
Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.
KDnuggets
OCTOBER 11, 2019
The practice of optimizing metrics is not new nor unique to AI, yet AI can be particularly efficient (even too efficient!) at doing so.
KDnuggets
OCTOBER 8, 2019
In this article, we’ll try to cover everything related to Artificial Neural Networks or ANN.
KDnuggets
OCTOBER 10, 2019
In this article, we’ll outline just a few of the most important topics in data science that our speakers will be presenting on at ODSC West Oct 29 - Nov 1 in San Francisco.
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
OCTOBER 8, 2019
As so many more organizations now rely on AI to deliver services and consumer experiences, establishing a public trust in the AI is crucial as these systems begin to make harder decisions that impact customers.
KDnuggets
OCTOBER 8, 2019
To build an effective learning model, it is must to understand the quality issues exist in data & how to detect and deal with it. In general, data quality issues are categories in four major sets.
KDnuggets
OCTOBER 11, 2019
In this upcoming webinar on Oct 23 @ 10 AM PT, learn why you should invest time in monitoring your machine learning models, the dangers of not paying attention to how a model’s performance can change over time, metrics you should be gathering for each model and what they tell you, and much more.
KDnuggets
OCTOBER 9, 2019
Why I love boring ML problems and how I think about them.
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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