Analytics Vidhya
AUGUST 1, 2019
Overview Looking for machine learning projects to do right now? Here are 7 wide-ranging GitHub projects to try out These projects cover multiple machine. The post 7 Innovative Machine Learning GitHub Projects you Should Try Out in Python appeared first on Analytics Vidhya.
KDnuggets
AUGUST 2, 2019
Lessons learned from repeatedly smashing my head with a 2-meter long metal pole for a college engineering course.
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Dataconomy
JULY 30, 2019
A recent survey of over 225 enterprise Data Scientists, AI technologists and business stakeholders involved in active AI and machine learning (ML) projects, suggests that for most organizations, it’s still early days for AI technology. The AI market is projected to become a $190 billion industry by 2025 ( according. The post Why 96% of Enterprises Face AI Training Data Issues appeared first on Dataconomy.
Smart Data Collective
JULY 30, 2019
Computer breaches from Russian or Chinese hackers get the headlines, but the reality is you are more likely to be a victim from an insider. It turns out that as much as 60 percent of all attacks were carried out by insiders – either overtly or inadvertently. The High Cost of Breaches. If it’s your business that falls victim, the cost can be high. Your company’s reputation can be damaged.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Analytics Vidhya
JULY 29, 2019
Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used. The post Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python appeared first on Analytics Vidhya.
KDnuggets
JULY 29, 2019
Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
AUGUST 2, 2019
Your corporation might collect thousands of data points on your global customers, or your local business might simply maintain and regularly update an email list of your most interested buyers. Whether you fall into one of these extremes or somewhere in the middle, you’re responsible for collecting and maintaining consumer data. And these days, that data privacy matters more than ever before.
Analytics Vidhya
JULY 31, 2019
Overview Managing the various stakeholders in a data science project is a must-have aspect for a leader Delivering an end-to-end data science project is. The post A Data Science Leader’s Guide to Managing Stakeholders appeared first on Analytics Vidhya.
KDnuggets
AUGUST 2, 2019
This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.
Victor Zhou
AUGUST 2, 2019
I use a lot of SVG s in my blog posts. They’re great for simple diagrams or illustrations, like this one: From my Neural Networks From Scratch Series. I use Inkscape , a free and open-source vector graphics editor, to make my SVGs. In the beginning, I just saved my SVGs using the default Inkscape format, something called Inkscape SVG. That turned out to be not ideal… Let’s use this SVG of a circle as an example: Here’s the Inkscape SVG markup for that laughably-simple icon: <?
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Smart Data Collective
JULY 30, 2019
In an earlier age, perhaps as little as a decade ago, businesses had to rely on intuition and educated guesses to guide their spending. The situation was famously captured by John Wanamaker, who said, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” Today, data is everywhere. Phones track our locations and our social media usage.
Analytics Vidhya
JULY 28, 2019
Overview Learn how to build your own text generator in Python using OpenAI’s GPT-2 framework GPT-2 is a state-of-the-art NLP framework – a truly. The post OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python appeared first on Analytics Vidhya.
KDnuggets
JULY 31, 2019
I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages, functions, etc that each of us use, but that others are completely unaware of, and would find useful if they knew about them.
DataRobot
JULY 29, 2019
Akira Shibata, Chief Data Scientist, Japan.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Smart Data Collective
JULY 31, 2019
Link building is one of the best online marketing strategies in use today, thanks to its synergy with other marketing strategies and its incredibly high return on investment (ROI). Link building basics are easy to grasp, even if you’re completely new to the strategy, but if you want to succeed long-term, you’ll need something more: the ability to measure and analyze data related to your campaign.
Explosion
AUGUST 1, 2019
Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy , via a new interface library we’ve developed that connects spaCy to Hugging Face ’s awesome implementations. In this post we introduce our new wrapping library, spacy-transformers. It features consistent and easy-to-use interfaces to several models, which can extract features to power your NLP pipelines.
KDnuggets
JULY 30, 2019
The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.
DataRobot
AUGUST 1, 2019
Customer retention is a big concern for companies. The cost of acquisition is typically 5 to 25 times more expensive than the cost of retaining a customer. However, you don’t want to put all of your customers through retention programs. You may end up driving customers away who don’t want to be bothered. On the other hand, some customers may want to leave regardless of what you offer them.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Smart Data Collective
JULY 28, 2019
Big data is everywhere. Each time you swipe a grocery store card, make a purchase online or buy from a big-box store, your shopping habits are being stored somewhere. What many consumers don’t realize is that companies are using this information to take advantage of their major life changes , including divorce. While divorce rates are down compared to 20 years ago, nearly 50% of all marriages will still end in a divorce in the U.S.
Christian Haschek
AUGUST 1, 2019
A few weeks ago something happened that wouldn't change how a small company in Vienna thinks about
KDnuggets
JULY 29, 2019
At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.
Victor Zhou
JULY 30, 2019
This 4-post series, written especially with beginners in mind, provides a fundamentals-oriented approach towards understanding Neural Networks. We’ll start with an introduction to classic Neural Networks for complete beginners before delving into two popular variants: Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). For each of each these types of networks, we’ll: See the structure of the network.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Smart Data Collective
JULY 30, 2019
Big data is being used more frequently in healthcare facilities all over the world. One report shows that the global market for big data in healthcare is expected to reach $68.75 billion in 2025. However, this figure misses some important nuances, such as which areas of medicine are using big data the most. Some medical procedures have relied on it more than others, while others are just exploring its potential.
Explosion
AUGUST 1, 2019
Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy, via a new interface library we've developed that connects spaCy to Hugging Face's awesome implementations.
KDnuggets
AUGUST 1, 2019
By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.
KDnuggets
AUGUST 2, 2019
The future is here! Speed up your Machine Learning workflow using Python RAPIDS libraries support.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
KDnuggets
AUGUST 1, 2019
Object detection has been applied widely in video surveillance, self-driving cars, and object/people tracking. In this piece, we’ll look at the basics of object detection and review some of the most commonly-used algorithms and a few brand new approaches, as well.
KDnuggets
AUGUST 1, 2019
Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. This blog explores how to navigate these challenges.
KDnuggets
JULY 30, 2019
Data Scientists need computing power. Whether you’re processing a big dataset with Pandas or running some computation on a massive matrix with Numpy, you’ll need a powerful machine to get the job done in a reasonable amount of time.
KDnuggets
JULY 31, 2019
You can do more data science than you think from the terminal.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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