Analytics Vidhya
SEPTEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Recently I searched for an interesting dataset to learn something new. After searching for a long time, I got a dataset on Shark Attacks in Australia. This dataset contains about 1,100 + shark bites and attempted shark bites between 1791 and early 2022, […]. The post Analysis of Australian Shark Attacks appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 29, 2022
TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.
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Smart Data Collective
SEPTEMBER 30, 2022
Last decade made a pretty bold promise to digital advertising, which more than other industries suffers from insufficient transparency and a fraudulent environment. The IAB Tech Lab conferences , in particular, frequently gathered blockchain evangelists and ad tech experts who discussed how this technology would finally drive authentication to programmatic chains.
FlowingData
SEPTEMBER 27, 2022
To teach, learn, and measure the process of analysis more concretely, Lucy D’Agostino McGowan, Roger D. Peng, and Stephanie C. Hicks explain their work in the Journal of Computational and Graphical Statistics : The design principles for data analysis are qualities or characteristics that are relevant to the analysis and can be observed or measured.
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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
SEPTEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that preserves a record of digital asset ownership. It is a means to save data and information in a secure digital format. They are well known for their critical function in cryptocurrency systems like Bitcoin, […].
KDnuggets
SEPTEMBER 26, 2022
The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
FlowingData
SEPTEMBER 26, 2022
Wildfire obviously damages the areas it comes in direct contact with, but wildfire smoke can stretch much farther. Based on research by Childs et al. , Mira Rojanasakul, for The New York Times, shows how pollution from smoke spread between 2006 and 2020. My kids’ rooms still have air filters from a few years ago, when a fire many miles away made the sky orange and our indoor environment smokey.
Analytics Vidhya
SEPTEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Proof-of-stake is a cryptocurrency consensus mechanism for processing transactions and creating new blocks in the blockchain. A consensus mechanism is a method for validating records in a distributed database and keeping the database secure. In the case of cryptocurrency, the database is […].
KDnuggets
SEPTEMBER 28, 2022
We explain how choosing a small, representative dataset from a large population can improve model training reliability.
Smart Data Collective
SEPTEMBER 29, 2022
OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. There are a number of benefits of using it to your company’s advantage. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations.
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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.
Dataversity
SEPTEMBER 26, 2022
AI and machine learning models are being used to help companies stay competitive by discovering new revenue opportunities, improving risk management, detecting fraud, and streamlining business processes. But years ago, data science wasn’t even on the curriculum at universities, so many software engineers are acquiring the necessary skills on their own.
Analytics Vidhya
SEPTEMBER 27, 2022
This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, Snowflake has grown from a virtual unknown to a retailer with thousands of customers. Businesses have adopted Snowflake as migration from on-premise enterprise data warehouses (such as Teradata) or a more flexibly scalable and easier-to-manage alternative to […].
KDnuggets
SEPTEMBER 27, 2022
Algorithms are an often misunderstood concept. Leverage Python to learn what algorithms really are, and how to implement an array of basic computational algorithms in the language.
Smart Data Collective
SEPTEMBER 27, 2022
AI technology has led to some massive changes in recent years. Most of these developments have been good. Unfortunately, there are dark sides to the evolution of AI. One of the drawbacks of AI has come in the realm of cybersecurity. On the one hand, AI has helped improve cybersecurity in some ways. On the other hand, hackers are weaponizing AI to create more horrifying attacks.
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.
OpenAI
SEPTEMBER 28, 2022
New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible. Sign up Starting today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M users are now actively creating over 2M images a day with DALL·E—from artists and creative directors to authors and architects—with over 100K users sharing their creations and feedback i
Analytics Vidhya
SEPTEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Data science job interviews need special skills. The candidates who succeed in landing employment are often not the ones with the best technical abilities but those who can pair such capabilities with interview acumen. Although data science is […].
KDnuggets
SEPTEMBER 28, 2022
7 Machine Learning Portfolio Projects to Boost the Resume • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Decision Tree Algorithm, Explained • Free SQL and Database Course • 5 Tricky SQL Queries Solved.
Smart Data Collective
SEPTEMBER 29, 2022
Big data has changed the marketing profession in extraordinary ways. Global companies spent over $3.2 billion on marketing analytics software last year. This figure is expected to grow in the future. There are many different ways that marketers can leverage data analytics to create successful marketing strategies. One of the biggest benefits is in the realm of email marketing.
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.
Dataversity
SEPTEMBER 29, 2022
Data-centric AI is gaining momentum among engineers. While traditionally, a model-centric approach has been used to improve accuracy for a variety of applications, the increase of data available today and the benefits of using reliable data are leading engineers to reevaluate their priorities and workflows. With a model’s performance so dependent on the quality of […].
Analytics Vidhya
SEPTEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Evaluation metrics are used to measure the quality of the model. Selecting an appropriate evaluation metric is important because it can impact your selection of a model or decide whether to put your model into production. The mportance of cross-validation: Are evaluation metrics […].
KDnuggets
SEPTEMBER 28, 2022
Generate the prompt using Phraser and create realistic art using the Diffusion model.
Smart Data Collective
SEPTEMBER 28, 2022
Today, data has become more critical than it has ever been in the past. We have talked about the importance of investing in good data collection methodologies. There are a growing number of risks with big data. Some of them stem from security issues if data is compromised. There are also physical safety issues associated with using the hardware that big data depends on.
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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.
FlowingData
SEPTEMBER 29, 2022
You can use straightforward functions in R to draw certain shapes, such as circles, squares, and rectangles. However, sometimes you need to draw a more complicated shape or one that’s based on data. Become a member for access to this — plus tutorials, courses, and guides.
Analytics Vidhya
SEPTEMBER 29, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Voice conversion (VC) can be used to improve the performance of speech recognition systems in low-resource languages by augmenting limited training data. However, VC has not been extensively used for this task considering the practical issues like compute speed and […].
KDnuggets
SEPTEMBER 29, 2022
this article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.
Smart Data Collective
SEPTEMBER 29, 2022
AI has become one of the most important gamechangers for businesses and customers relying on mobile technology. This is one of the reasons companies are spending over $328 billion on AI technology. One of the many reasons that AI is changing the landscape of mobile technology is that it helps develop and distribute apps more easily than ever. We previously talked about some of the ways that AI is making it easier to develop new mobile apps.
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.
FlowingData
SEPTEMBER 26, 2022
Randall Munroe provides another fine observation through xkcd. I often wonder what our data and charts will look like a century or two from now. Will the conventions and aesthetics look silly and amateur or classic and vintage? Will what seems like a lot of detailed data now seem spotty and useless, or will we look back in disbelief that companies were allowed to track our activities?
Analytics Vidhya
SEPTEMBER 30, 2022
This article was published as a part of the Data Science Blogathon. Introduction Apache Spark is a fast and general engine used widely for large-scale data processing. It has several advantages over traditional data processing software. Let us discuss the major advantages below: Speed – Approximately 100 times faster than traditional MapReduce Jobs.
KDnuggets
SEPTEMBER 30, 2022
The latest KDnuggets cheatsheet aims to get you up to speed with introductory Pandas operations, and provide a handy reference as you work with the library. Check it out if you're interested in a quick start.
Smart Data Collective
SEPTEMBER 28, 2022
Last year, HubSpot published an article on the benefits of using AI for call center management. More businesses are taking advantage of this opportunity. Automated outbound calls can save you a lot of time and money as an organization, by automating the frequently repeated calling processes. For instance, having your phone system automatically ask a user for their basic information can be much more efficient than having your agents do the same.
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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