Analytics Vidhya
NOVEMBER 5, 2020
Introduction Learning data science can be intimidating. Especially so, when you are just starting your journey. Which tool to learn – R or Python? The post 12 Essential Tips for People starting a Career in Data Science appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 1, 2020
We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun.
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Hacker News
NOVEMBER 1, 2020
Last Friday the U.S. Department of Energy issued a final rule effective November 30, 2020, that will once again permit American households to purchase dishwashers that actually clean dishes, as they had done for most of the machine’s 130 year history. The October 30 final rule does not force anyone to change their currently installed dishwasher. And new machines will not be available for this year’s Thanksgiving meal, as future rulemaking is contemplated and manufacturers must produce the new cl
Eugene Yan
OCTOBER 31, 2020
Setbacks she faced, overcoming them, and how writing changed her life.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
NOVEMBER 4, 2020
This article was published as a part of the Data Science Blogathon. Overview Understand what is Artificial Intelligence Lifecycle of agriculture Challenges faced in. The post Artificial Intelligence in Agriculture : Using Modern Day AI to Solve Traditional Farming Problems appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 3, 2020
People are living longer than ever, but the current options for caring for elderly people with chronic illnesses or those who have trouble with everyday tasks are limited. Many families either send their relatives to assisted care facilities or nursing homes, hire outside help, or take on the daily care themselves. These options are often extremely expensive and compromise the quality of life for both the caregiver and the senior.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DeepMind
NOVEMBER 4, 2020
This week, we welcomed our biggest and most geographically diverse cohort of DeepMind scholars yet. We’re excited to reflect on the journey so far, share more on the next chapter of the DeepMind scholarships – and welcome many more universities from around the world into the programme.
Analytics Vidhya
NOVEMBER 1, 2020
Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning? appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 5, 2020
Here at Smart Data Collective, we have talked about major changes that machine learning has created in the financial industry. While some changes have gotten a lot of publicity, others have been more subtle. The evolution of smart cards is one of the newest ways that machine learning and AI are impacting the future of finance. The market for smart cards will be worth $21.57 billion within the next three years.
Twilio Segment
NOVEMBER 5, 2020
3 ways the most successful enterprises are adapting to digital-first experiences, and the key to getting there fast.
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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?
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
NOVEMBER 2, 2020
This article was published as a part of the Data Science Blogathon. Introduction “Data Scientist: the sexiest job of the 21st Century” “Data Science. The post A Primer on Getting Started with Data Science for Beginners appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 1, 2020
Advances in big data are a double-edged sword in the fight against online scams and data breaches. The reason for this is that both cybersecurity professionals and cybercriminals are using data technology to their full advantage. Data Analytics is the First Line of Defense Against Online Criminals. CISO Mag reports that cybersecurity experts have found a number of benefits of using AI and other big data technology to prevent data breaches and scams.
Data Elixir
NOVEMBER 5, 2020
Great to hear from you! Data Elixir goes out on Tuesdays. To make sure you don’t miss an issue, add lon@dataelixir.com to your Address Book or Safe Senders list. If you have a moment, please select your interests >> Thanks for staying subscribed!
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.
Dragan Djuric
NOVEMBER 2, 2020
A few weeks ago I've shown you how simple Clojure's Deep Diamond ( ) is, even compared to Keras. I've also mentioned that it's superfast. Here's how fast it is on the GPU! TL;DR Much faster than Keras+TensorFlow on the GPU, too! In the previous article , we have only compared the libraries on the CPU. Deep Diamond was considerably faster: 368 seconds vs 509 seconds.
Analytics Vidhya
NOVEMBER 3, 2020
Overview Methods in Python are a crucial concept to understand as a programmer and a data science professional Here, we’ll talk about these different. The post Methods in Python – A Key Concept of Object Oriented Programming appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 5, 2020
Big data technology may have brought many benefits to us. However, it has also created many challenges, such as malware threats. We previously talked about the dangers that AI has created with Modern Mac viruses. But there is another virus that you need to be aware of – the Zeus virus. This was brought on by dangerous advances in AI technology. Due to the current availability of advanced Internet technologies, you can purchase products or pay for services instantly and hassle-free.
Twilio Segment
NOVEMBER 2, 2020
Sophisticated experimentation programs require the right people, process, tools, and data.
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.
Analytics Vidhya
NOVEMBER 4, 2020
Overview Understand how image caption generator works using the encoder-decoder Know how to create your own image caption generator using Keras Introduction Image. The post Create your Own Image Caption Generator using Keras! appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 2, 2020
This article was published as a part of the Data Science Blogathon. Introduction How cool is it to build your own personal assistants like. The post Build Your Own Desktop Voice Assistant in Python appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 31, 2020
This article was published as a part of the Data Science Blogathon. Best features + Best algorithm = Accurate Predictions . The post How to Use Stacking to Choose the Best Possible Algorithm? appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 3, 2020
This article was published as a part of the Data Science Blogathon. Must know Statistical concepts for the Data Science journey The main goal. The post Top 5 Statistical Concepts Every Data Scientist Should Know in 2020! appeared first on Analytics Vidhya.
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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.
Analytics Vidhya
OCTOBER 31, 2020
This article was published as a part of the Data Science Blogathon. Introduction BERT is a really powerful language representation model that has been. The post Simple Text Multi Classification Task Using Keras BERT appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 31, 2020
This article was published as a part of the Data Science Blogathon. Warning: This article is for absolute beginners, I assume you just entered. The post Linear Regression for Absolute Beginners with Implementation in Python! appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 2, 2020
This article was published as a part of the Data Science Blogathon. Introduction Source: Photo by Michael Dziedzic on Unsplash This article will help you. The post A Comprehensive Guide to Learn Data Exploration in Python! appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 5, 2020
Introduction Twitter users spend an average of 4 minutes on social media Twitter. On an average of 1 minute, they read the same stuff. The post Summarize Twitter Live data using Pretrained NLP models appeared first on Analytics Vidhya.
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.
Analytics Vidhya
NOVEMBER 5, 2020
Overview Understand the difference between 3 spark APIs – RDDs, Dataframes, and Datasets We will see how to create RDDs, Dataframes, and Datasets. The post RDDs vs. Dataframes vs. Datasets – What is the Difference and Why Should Data Engineers Care? appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 2, 2020
This article is the third in a series of four, where we mention some of the most discussed points to keep in mind before. The post Getting started with Analytics: Data Challenges appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 3, 2020
This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven age, cloud platforms have been a boon in. The post Basic Introduction to Google BigQuery and Data Studio Every Data Scientist Should Know! appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 2, 2020
Overview Learn about viewing data as streams of immutable events in contrast to mutable containers Understand how Apache Kafka captures real-time data through event. The post Apache Kafka: A Metaphorical Introduction to Event Streaming for Data Scientists and Data Engineers appeared first on Analytics Vidhya.
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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