KDnuggets
NOVEMBER 18, 2022
The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. Before DevOps, software development teams, quality assurance (QA) teams, security, and operations would test the code for several […].
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Dataconomy
NOVEMBER 17, 2022
Looking for the best language for machine learning? If you’re new to the topic, the hardest part of mastering machine learning is figuring out where to start. It is normal to question the ideal language for machine learning, regardless of whether you are looking to brush up on your machine.
Adrian Bridgwater for Forbes
NOVEMBER 17, 2022
This is the ‘shape’ of an industry i.e. a descriptive digital map and reference architecture that - if shown to a data scientist in a blind test - would likely enable them to distinguish between (let’s say) a healthcare business from a petrochemicals enterprise.
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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?
KDnuggets
NOVEMBER 16, 2022
While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.
Analytics Vidhya
NOVEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms. The working mechanism they apply in the backend allows them to provide such a […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
NOVEMBER 14, 2022
AI technology has radically changed the future of many industries and is changing the way companies do business forever. Most of the discussions on the benefits of AI focus on helping traditional businesses boost their bottom line. In our capitalist economy, this is not surprising. However, AI also offers many benefits for nonprofits. Dr. Lobna Karoui of the Forbes Nonprofit Council wrote an article on the many excellent benefits of AI.
KDnuggets
NOVEMBER 14, 2022
In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.
Analytics Vidhya
NOVEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Voting ensembles are the ensemble machine learning technique, one of the top-performing models among all machine learning algorithms. As voting ensembles are the most used ensemble techniques, there are lots of interview questions related to this topic that are asked in data […].
Dataconomy
NOVEMBER 18, 2022
Meta’s Galactica AI is the latest tool that artificial intelligence technologies make our lives easier. AI for science makes sense, right? Although you can ask Meta Galactica AI funny questions like “Can dogs fly?” its primary objective is to assist users with academic writing and research. Who knows, maybe this.
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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.
Smart Data Collective
NOVEMBER 12, 2022
Data has unquestionably had a huge impact on our lives. It is becoming more prolific as well, as 2.5 quintillion bytes of data are generated every day. Data is everything in today’s tech-driven world. Every company collects data , analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits.
KDnuggets
NOVEMBER 16, 2022
Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Flutter where F stands for Front- end, L stands for Language, U stands for UI layout, T stands for Time, T stands for Tools, E stands for Enable, and R stands for Rich. In other words, Flutter is a tool used in […]. The post Building Our Applications Using Flutter appeared first on Analytics Vidhya.
Dataconomy
NOVEMBER 17, 2022
Notion AI is the latest tool that artificial intelligence technology helps you with writing. The well-known note-taking tool Notion unveiled a new feature. The ‘Notion AI’ feature automates the creation of written content in the app, including blog posts, brainstorming ideas, to-do lists, and even literary works, using generative artificial.
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.
Smart Data Collective
NOVEMBER 15, 2022
The COVID-19 pandemic fundamentally altered the marketing landscape , and in many ways for the better. While live streaming and video marketing have long been a part of a marketers toolkit, the prolonged lockdowns, social distancing, and travel bans over the course of the pandemic helped thrust it into the limelight, resulting in widespread adoption and since making it indispensable for business. .
KDnuggets
NOVEMBER 16, 2022
Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.
Analytics Vidhya
NOVEMBER 17, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal. Moreover, the need for running deep learning models on […].
Dataconomy
NOVEMBER 15, 2022
After a $391.5 million Google location tracking lawsuit settlement, “Google location settlement claim” is one the most searched queries on the Internet, and it makes totally sense. The Google location settlement amount is considerably notable when we look at the latest settlements, such as the Snapchat privacy settlement, T-Mobile 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.
Smart Data Collective
NOVEMBER 15, 2022
Cloud technology is becoming more essential for modern organizations with each passing day. A report by Gartner shows that cloud technology has transformed modern business in previously unimaginable ways. The report indicated that 75% of organizations using the cloud have a “cloud first” policy, which is a much higher figure than previous versions of the report indicated.
KDnuggets
NOVEMBER 18, 2022
Read research papers on neural models, word embedding, language modeling, and attention & transformers.
Analytics Vidhya
NOVEMBER 18, 2022
This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […]. The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya.
Dataconomy
NOVEMBER 18, 2022
Data architects are leading experts in data-focused professions. Acquiring the skills necessary to become a professional is like laying the bricks of a wall. If you proceed in a planned and meticulous manner, you will have a solid wall. Otherwise, without an expert opinion of data architecture, a business should.
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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.
Smart Data Collective
NOVEMBER 16, 2022
Video editing has changed significantly over the years. During the first half of the 20th Century, people had to splice film manually, which could create all kinds of problems. Machine learning technology is one of the new technologies that has drastically changed the state of video editing. This technology uses deep neural networks to automate the process.
KDnuggets
NOVEMBER 18, 2022
The post explains all the key elements of SQL that you must know as a data science practitioner.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Until now, we have seen two different approaches to state space search. i.e., Uninformed Search and Informed Search Strategies. These search strategies compute the path to the goal state from the initial state. A* Search Strategy is one of the best strategies […].
Dataconomy
NOVEMBER 15, 2022
Today enhancing business operations without the enterprise IT management is almost impossible. Enterprises initially viewed data collection as a way to help their manufacturing, customer relationship management (CRM), and enterprise resource planning (ERP) enterprise systems. But more lately, the trend has been to gather as much data as they can.
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.
Dataversity
NOVEMBER 18, 2022
IDC’s recent Future Enterprise Resiliency and Spending survey found that 65% of global decision-makers expect concerns about supply chain disruption, inflation, labor shortages, geopolitical tensions, and COVID variants to continue restraining the pace of recovery in global economic activity through the last quarter of the year and into 2023. The biggest challenge that companies face today is managing through […].
KDnuggets
NOVEMBER 15, 2022
The demand for Data Scientists who are proficient in Python is at an all time high. Python has helped people boost their careers in finance, consulting, research, software tech, and robotics. Explore 6 courses designed to help you learn Python.
Analytics Vidhya
NOVEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most well-liked and promising deep learning frameworks for devising novel deep learning solutions. Given its popularity and wide usage in companies, startups, and business firms to automate things and develop new systems, it is imperative to have […].
Dataconomy
NOVEMBER 14, 2022
Interior AI free is here to help you decorate your home. Over time, artificial intelligence has penetrated almost every industry, and interior design is one of the sectors AI simplified. Do you know which design style is the best for your house? Let’s find out easily with Interior AI. We.
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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