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 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 […].
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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.
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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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 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 […].
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 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 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 […].
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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 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: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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.
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 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: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Adrian Bridgwater for Forbes
NOVEMBER 15, 2022
SAP has followed suit with wider tech industry trends and updated its platform with low-code business user software democratization technologies.
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 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 […].
Data Science Blog
NOVEMBER 14, 2022
AI drives automation, not only in industrial production or for autonomous driving, but above all in dealing with bureaucracy. It is an realy enabler for lean management! One example is the use of Deep Learning (as part of Artificial Intelligence) for image object detection. A car insurance company checks the amount of the damage by a damage report after car accidents.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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 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 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 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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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 17, 2022
Python is the most popular general-purpose language and you can learn it for free.
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 […].
FlowingData
NOVEMBER 18, 2022
Qatar spent $300 billion with a ‘b’ over the past twelve years to host the World Cup. For Bloomberg, Simone Foxman, Adveith Nair, and Sam Dodge show what that money went towards through satellite imagery. The shift is striking with a transition from desert flat land to stadiums and high rises over a short period of time. These before-and-after satellite imagery pieces usually go the opposite direction, like after a natural disaster.
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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