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 304

Machine Learning Machine Learning Data Science Analytics 304

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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Data Scientist AI AI Machine Learning 196

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 107

Business Intelligence Business Intelligence Analytics Analytics 107

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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?

AI

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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Python Analytics Analytics Deep Learning 298

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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Cross Validation Data Modeling Data Models 294

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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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 296

Python Data Scientist Analytics Analytics 296

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 286

Analytics Analytics Data Science 286

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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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.

Database

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.

Natural Language Processing 52

Natural Language Processing AWS Machine Learning Machine Learning 52

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 293

Data Science Analytics Analytics 293

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.

Machine Learning 286

Machine Learning Machine Learning 286

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 79

Data Analysis Data Analysis Algorithm Analytics 79

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.

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.

Python 52

Python Machine Learning Machine Learning 52

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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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 285

Deep Learning Deep Learning Python 285

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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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.

Data Science

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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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

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 284

Deep Learning Deep Learning Python 284

Smart Data Collective

JULY 28, 2019

Big data is being used by countless investors all over the world. You are going to need to understand the role that predictive analytics and other big data technology plays in investing. This is especially true with investing in emerging markets. Global Investors Use Big Data to Invest in Saint Lucia. Saint Lucia is a country located on the island of the same name.

Big Data 77

Big Data Big Data Predictive Analytics Analytics 77

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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.

Analytics

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 267

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.

Deep Learning 259

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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 249

Data Science Data Scientist Big Data Big Data 249

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 295

Data Science 295

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.

Analytics

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 227

Machine Learning Machine Learning ML ML 227

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 212

Data Science ML ML Machine Learning 212

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.

Hypothesis Testing 217

Hypothesis Testing Data Scientist Data Science 217

KDnuggets

JULY 31, 2019

We put an AutoML tool to the test on a real-world problem, and the results are surprising. Even with automatic machine learning, you still need expert data scientists.

Data Scientist 216

Data Scientist Machine Learning Machine Learning 216

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.