Analytics Vidhya
OCTOBER 28, 2020
This article was published as a part of the Data Science Blogathon. Introduction The share price of HDFC Bank is going up. It’s on. The post Predicting Stock Prices using Reinforcement Learning (with Python Code!) appeared first on Analytics Vidhya.
Dataconomy
OCTOBER 30, 2020
The DN Unlimited Conference will take place online for the first time this year More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact, including from The New York Times, IBM, Bayer, and Alibaba Cloud Fully remote networking opportunities via a virtual. The post Europe’s largest data science community launches the digital network platform for this year’s conference appeared first on Dataconomy.
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Smart Data Collective
OCTOBER 25, 2020
The IoT is becoming increasingly commercialized. IDC estimates that there will be 41.6 billion IoT devices online by 2025. As the IoT continues to expand, companies across the world are looking for new ways to embrace its potential. One of the most overlooked benefits of the IoT is with indoor mapping. Companies can find a number of useful IoT approaches to achieve this goal.
Data Science 101
OCTOBER 24, 2020
This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows in the cloud and more.
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!
Eugene Yan
OCTOBER 3, 2020
As careers grow, how does the balance between writing & coding change? Hear from 4 tech leaders.
Alation
OCTOBER 13, 2020
The post Alation is the Clear Leader in The Forrester Wave™: Machine Learning Data Catalogs, Q4 2020 appeared first on Alation.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DeepMind
OCTOBER 18, 2020
In an article recently published in Physical Review Research, we show how deep learning can help solve the fundamental equations of quantum mechanics for real-world systems. Not only is this an important fundamental scientific question, but it also could lead to practical uses in the future, allowing researchers to prototype new materials and chemical syntheses in silico before trying to make them in the lab.
Smart Data Collective
OCTOBER 25, 2020
Machine learning has become a major game changer for the cryptocurrency industry. Most of the benefits are machine learning have been positive for the market. Machine learning is being used to predict price patterns more easily. However, some of these changes are not as welcome. Machine learning is making cryptocurrencies easier to trace. Since their inception, cryptocurrencies have gained popularity in several parts of the world.
Twilio Segment
OCTOBER 28, 2020
Segment has developed a Customer Data Maturity Model that will help you understand where you are on your journey and provide specific recommendations on how to take your organization to the next level.
Eugene Yan
OCTOBER 13, 2020
Step-by-step walkthrough on the environment, compilers, and installation for ScaNN.
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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.
DataCentric podcast
OCTOBER 27, 2020
It's all about cloud-native and containers as IBM announces a slew of new features and offerings at its annual IBM Tech U event. The announcements included: Spectrum Protect Plus enhancements for containers in production. Spectrum Scale container-native storage access for Red Hat OpenShift. Spectrum Discover now has deeper integration with Red Hat Openshift Container Storage & IBMB Cloud Digest Storage File Access Vmware vSphere 7 support for end-to-end NVMe Increased capacity for SCM in
Analytics Vidhya
OCTOBER 12, 2020
This article was published as a part of the Data Science Blogathon. Introduction I have always been in love with Data Visualization since the. The post Create a Word Cloud or Tag Cloud in Python appeared first on Analytics Vidhya.
Data Science 101
OCTOBER 24, 2020
This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows in the cloud and more.
Smart Data Collective
OCTOBER 1, 2020
Email has proven to be a remarkably resilient marketing medium. The ROI of email marketing can be up to 4,400%. However, email marketing is also rather complicated. Businesses that depend on email marketing need to take advantage of various types of technology to leverage it effectively. We have previously written about the benefits of data driven marketing , but wanted to focus more on the benefits of machine learning as well.
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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?
Tableau
OCTOBER 13, 2020
Tanna Solberg October 13, 2020 - 9:19pm Courtney Totten Director, Academic Programs We use data everyday for our jobs and in our daily lives. Whether you’re optimizing your sales organization or researching climate change, understanding data is a key ingredient for success. Although most people are familiar with the current trend of growing amounts of data, there is a skills gap in data literacy - defined as the ability to explore, understand, and communicate with data.
Eugene Yan
OCTOBER 10, 2020
Building prototypes helped get buy-in when roadmaps & design docs failed.
DataCentric podcast
OCTOBER 22, 2020
Containers have been embraced by IT organizations across the board. No longer strictly limited to dev ops and non-production environments, we're starting to see production enterprise applications being deployed into Kubernetes-managed containers. These deployments quickly expose the limitations of the technology. Joining hosts Matt Kimball & Steve McDowell (both analysts at Moor Insights & Strategy) is Diamanti's vice present of product, Brian Walden.
Analytics Vidhya
OCTOBER 5, 2020
This article was published as a part of the Data Science Blogathon. Overview Finishing in the top 10% in Machine Learning Hackathons is a. The post Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons appeared first on Analytics Vidhya.
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.
learn data science
OCTOBER 12, 2020
I’m super excited to announce Exploratory v6.2! ??? As always, we have a bunch of new features & enhancements, here’s a quick overview of the following areas. Summary View Analytics Chart Data Wrangling Dashboard Parameter Summary View Reference lines for Mean & Midian Now you can see the mean and the median values as reference lines on top of the histogram charts for numerical columns.
Smart Data Collective
OCTOBER 11, 2020
Cloud design tools are creating a new future for the design profession. One study found that 47% of companies that use CAD software are implementing or strongly considering implementing a cloud-based CAD solution in the future. The number of professionals using other cloud-based design applications is even higher. We talked about the use of machine learning and big data in web development.
Alation
OCTOBER 13, 2020
The post Alation + Dataiku: Drive Greater Value from Data Science appeared first on Alation.
Eugene Yan
OCTOBER 17, 2020
Not 'How to build a data science portfolio', but 'Whys' and 'Whats'.
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.
DeepMind
OCTOBER 11, 2020
Imagine if you had to learn how to chop, peel and stir all over again every time you wanted to learn a new recipe. In many machine learning systems, agents often have to learn entirely from scratch when faced with new challenges. It’s clear, however, that people learn more efficiently than this: they can combine abilities previously learned. In the same way that a finite dictionary of words can be reassembled into sentences of near infinite meanings, people repurpose and re-combine skills they a
Analytics Vidhya
OCTOBER 1, 2020
Overview Feature engineering techniques are a must know concept for machine learning professionals Here are 7 feature engineering techniques you can start using right. The post 7 Feature Engineering Techniques in Machine Learning You Should Know appeared first on Analytics Vidhya.
Twilio Segment
OCTOBER 6, 2020
We're about to enter the era of the customer data platform. How did we get here and where are we headed?
Smart Data Collective
OCTOBER 21, 2020
Countless companies recognize the growing importance of big data. However, many of them lack the insights needed to acquire and utilize data effectively. There are so many possible sources of data, but they don’t tap them to their full advantage. One of the most overlooked sources of data is from inbound calls. Companies are finding new ways to leverage call data to their full advantage.
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.
Alation
OCTOBER 2, 2020
The post Alation 2020.3: Discussing Customer-Centric Design with Colin Poindexter, Alation’s Product Design Lead appeared first on Alation.
Eugene Yan
OCTOBER 24, 2020
What questions do they answer? How do they compare? What open-source solutions are available?
Christian Haschek
OCTOBER 31, 2020
If you've ever thought of building a file server, you probably had one or more of these thoughts
Analytics Vidhya
OCTOBER 7, 2020
This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis(EDA) is one of the most underrated and under-utilized. The post Exploratory Data Analysis – The Go-To Technique to Explore Your Data! appeared first on Analytics Vidhya.
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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