Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. Other applications of NLP are for translation, speech recognition, chatbot, etc.

Machine Learning 396

Machine Learning Data Science Publishing Modeling 396

DataKitchen

NOVEMBER 12, 2021

The post The Benefits and Drawbacks of DataOps in Practice first appeared on DataKitchen.

301

301

Analytics Vidhya

NOVEMBER 12, 2021

This article was published as a part of the Data Science Blogathon Introduction Hey all, I am sure you must have played pokemon games at some point in time and must have hated the issue of creating an optimal and balanced team to gain an advantage. What if I say one can do this by having […]. The post Optimizing Pokemon Team using Python’s PuLP Library appeared first on Analytics Vidhya.

Optimization 376

Optimization Data Science Publishing Analytics 376

Smart Data Collective

NOVEMBER 12, 2021

One of the best things about digital marketing is that it’s often at the forefront of the latest online technologies. It doesn’t get any more cutting-edge at the moment than machine learning, and it’s not only large companies that have already started to take advantage. As far back as 2018, a veritable eternity in the world of online marketing, over 80% of marketing organizations reported the deployment or growth of their AI and machine learning efforts.

Machine Learning 130

Machine Learning Marketing Testing Advertising 130

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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.

Visualization

KDnuggets

NOVEMBER 12, 2021

The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).

Deep Learning 122

Deep Learning 122

Smart Data Collective

NOVEMBER 12, 2021

Much has changed since the time when organizations only knew of antiviruses and simple firewalls as the tools, they need to protect their computers. To address newer challenges, security providers have developed new technologies and strategies to combat evolving threats. Stephanie Benoit-Kurtz, Lead Area Faculty Chair for the University of Phoenix’s Cybersecurity Programs, offers a good summary of the changes security organizations should anticipate , especially in the time of the pandemic.

Strategy 129

Strategy Enterprise Testing Cost-Benefit 129

Smart Data Collective

NOVEMBER 12, 2021

According to the 2021 CMO Spend Survey by Gartner, budget allocation for marketing analytics failed to make the top 3 in priority falling behind digital commerce, marketing operations and brand strategy. While I understand that selling products, cutting costs and delivering brand strategy is important for long term business results, the lack of priority in using data troubles me.

Marketing 129

Marketing Advertising Data-driven Strategy 129

Cloudera

NOVEMBER 12, 2021

Arjun (my son) sat next to me at my desk. He was a bit nervous but we had practiced 3 times before he was ‘on stage’ in front of hundreds of people and the zoom meeting turned to him. My ten year old began to demonstrate how to deploy an Operational Database in AWS, showcasing how auto-scaling worked and how to set up replication. All of the sales team and my colleagues were quite impressed with him, and I am very proud of him.

Software 94

Software Enterprise Snapshot IT 94

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. Big data has helped companies identify promising cost-saving measures, recruit the best talent, optimize their marketing strategies and realize many other benefits.

Data-driven 100

Data-driven Cost-Benefit Data mining Big Data 100

KDnuggets

NOVEMBER 12, 2021

The skills needed to create good data are also the skills needed for good leadership.

Machine Learning 121

Machine Learning Modeling Data Science 121

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.

Management

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been one of the biggest forces driving change in the financial sector over the past few years. Financial institutions servicing small businesses have been among those most affected by developments in big data. There are a number of data-driven trends shaping the future of small business financial management. This can be most easily observed in the context of small business lending.

Data-driven 90

Data-driven IoT Big Data Internet of Things 90

KDnuggets

NOVEMBER 12, 2021

Check out these repositories to help you improve your data science skills.

Data Science 123

Data Science 123

DataRobot

NOVEMBER 12, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process, and Technology. All are required for trusted AI , technology systems that align to our individual, corporate and societal ideals. This first post is focused on making people across organizations successful with building and implementing AI you can trust.

Insurance 69

Insurance Risk Risk Management Manufacturing 69

KDnuggets

NOVEMBER 12, 2021

The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).

Deep Learning 82

Deep Learning 82

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.

Experimentation

Nutanix

NOVEMBER 12, 2021

The dust has settled from the Nutanix.NEXT 2021 Digital event and we are thrilled with the outcome! Attendees were able to immerse themselves in the latest hybrid multicloud advancements that will help them digitize and transform their businesses, improve activity, deliver innovative customer and employee experiences, and gain a competitive edge.

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KDnuggets

NOVEMBER 12, 2021

The skills needed to create good data are also the skills needed for good leadership.

Machine Learning 81

Machine Learning Modeling Data Science 81

DataRobot

NOVEMBER 12, 2021

Only one in ten companies reports significant financial benefits from implementing AI, according to a recent study by BCG GAMMA, the BCG Henderson Institute, and the MIT Sloan Management Review. How can that be? Few businesses now benefit from AI because they have not yet fully implemented it throughout their organizations. In a 2020 Capgemini Research study, only a meager 13% of businesses had successfully deployed use cases in production and continued to scale the use cases throughout multiple

Cost-Benefit 98

Cost-Benefit Machine Learning Sales ROI 98

KDnuggets

NOVEMBER 12, 2021

Check out these repositories to help you improve your data science skills.

Data Science 83

Data Science 83

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.

Manufacturing