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.

Machine Learning 307

Machine Learning Machine Learning Python Analytics 307

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.

Machine Learning 300

Machine Learning Machine Learning Data Science Analytics 300

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.

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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.

Business Intelligence 110

Business Intelligence Business Intelligence Analytics Analytics 110

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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.

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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.

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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.

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Big Data Big Data Analytics Analytics 91

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.

Python 301

Python Data Scientist Analytics Analytics 301

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.

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Machine Learning Machine Learning 278

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: <?

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

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.

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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.

Data Science 299

Data Science Analytics Analytics 299

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.

Analytics 278

Analytics Analytics Data Science 278

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.

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Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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.

Data Analysis 81

Data Analysis Data Analysis Analytics Analytics 81

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.

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Python Machine Learning Machine Learning 52

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.

Deep Learning 276

Deep Learning Deep Learning Python 276

Christian Haschek

AUGUST 1, 2019

A few weeks ago something happened that wouldn't change how a small company in Vienna thinks about

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

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.

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Big Data Big Data Predictive Analytics Algorithm 81

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.

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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.

Deep Learning 282

Deep Learning Deep Learning Python 282

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.

Data Science 41

Data Science 41

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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.

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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.

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Algorithm 259

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.

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Deep Learning Deep Learning AI AI 251

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.

Data Science 242

Data Science Data Scientist Big Data Big Data 242

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

KDnuggets

AUGUST 2, 2019

Lessons learned from repeatedly smashing my head with a 2-meter long metal pole for a college engineering course.

Data Science 290

Data Science 290

KDnuggets

AUGUST 1, 2019

A machine learning model that predicts some outcome provides value. One that explains why it made the prediction creates even more value for your stakeholders. Learn how Interpretable and Explainable ML technologies can help while developing your model.

Machine Learning 228

Machine Learning Machine Learning ML ML 228

KDnuggets

JULY 30, 2019

This technical webinar on Aug 14 discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting edge research coming out of UCSF, CMU, and industry.

Data Science 215

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KDnuggets

JULY 30, 2019

This article is designed to give you a full picture from constructing a hypothesis testing to understanding p-value and using that to guide our decision making process.

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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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