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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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?
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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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.
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 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 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: 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.
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 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 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: 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.
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 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
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 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.
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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 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.
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 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: 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 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: 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.
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