Analytics Vidhya

JULY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […]. The post Pandas Functions You Should Know for Data Analysis appeared first on Analytics Vidhya.

Data Analysis 393

Data Analysis Data Science Python Machine Learning 393

DeepMind

JULY 27, 2022

Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - with the potential to dramatically increase our understanding of biology.

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DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creati

Data Science 72

Data Science Machine Learning Python Data Analysis 72

Dlabs.ai

JULY 25, 2022

While artificial intelligence movies aren’t as popular as comedies or thrillers, they still rank well. And I feel confident you’ll recognize at least one movie from this list. The article covers the top eleven artificial intelligence movies to watch right now, spanning everything from timeless classics to breakthrough titles that have redefined the genre.

Artificial Intelligence 59

Artificial Intelligence Artificial Intelligence Robotics Computer Scientist 59

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

JULY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Who doesn’t love chocolate? Everybody does. But not everyone likes dark chocolates as they taste bitter. But if you want to be healthy and want to overcome some stressful situation, this bad guy will give you some relief. Just take a bite […]. The post Analysis on Dark Chocolates using Python and Plotly appeared first on Analytics Vidhya.

Python 389

Python Data Science 389

Kavita Ganesan

JULY 28, 2022

One of the problems business leaders face in communicating with their technical counterparts is trying to describe their AI problem. To simplify some of the communication, here are some common AI problem types. Try to map AI opportunities at hand to these common problem types. Note that the problem types often overlap—but that’s ok. The key is to identify problem types that most closely match the task at hand when communicating with your AI and data science experts.

AI 52

AI AI Categorization Data Extraction 52

DataRobot Blog

JULY 27, 2022

Investing in AI/ML is no longer an option but is critical for organizations to remain competitive. However, machine learning utilization is often unpredictable, which makes scaling sometimes a huge challenge. Many engineering teams don’t pay the necessary attention to it. The main reason is that they don’t have a clear plan to scale things up from the beginning.

Algorithm 52

Algorithm Data Scientist Automation Deep Learning 52

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].

Big Data 390

Big Data Data Science 390

DeepMind

JULY 28, 2022

Most people who have access to a modern healthcare system would not consider a disease like bubonic plague to be a threat. Such bacterial infections are usually dealt with easily through modern.

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Business Intelligence

Wisdom Works

JULY 26, 2022

We have seen an increasing trend of companies wanting to explore the use of AI and Machine Learning but being unable to commit the level of funding and resources to build up a dedicated data science team and related infrastructure, tools and experience to invest in developing an AI capability. We see this resistance partly due to the uncertainty around the business value of use-cases they wish to explore.

Data Science 52

Data Science Machine Learning ML AI 52

fast.ai

JULY 27, 2022

Today we’re excited to announce that we’ve teamed up with Quarto to give nbdev superpowers.

Python 52

Python 52

Analytics Vidhya

JULY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how a person or a bank is notified of the wrongful transaction of his credit card, like how did system can notify that particular person or the bank about the transaction, which will help save his money by […]. The post An End-to-end Guide on Anomaly Detection with PyCaret appeared first on Analytics Vidhya.

Data Science 388

Data Science Machine Learning 388

DeepMind

JULY 28, 2022

When Pietro Fontana joined the Wu Lab at Harvard Medical School and Boston Children’s Hospital in May 2019, he had before him what has been called one of the world’s hardest, giant jigsaw puzzles.

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Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Wisdom Works

JULY 26, 2022

We have seen an increasing trend of companies wanting to explore the use of AI and Machine Learning but being unable to commit the level of funding and resources to build up a dedicated data science team and related infrastructure, tools and experience to invest in developing an AI capability. We see this resistance partly due to the uncertainty around the business value of use-cases they wish to explore.

Data Science 52

Data Science Machine Learning ML AI 52

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction The other day, I was reading “Natural Language Processing with Transformers” a book authored by Lewis Tunstall, Leandro von Werra, and Thomas Wolf. In it, I came across Scaling laws and challenges associated with scaling Transformer models. This topic also included excerpts […].

Natural Language Processing 378

Natural Language Processing Data Science Python Machine Learning 378

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […]. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

Data Science 383

Data Science 383

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Many companies prefer to work with serverless tools and codeless solutions to minimize costs and streamline their processes. Building an ETL pipeline using Apache […].

ETL 375

ETL Data Science Data Integration 375

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.

Business Intelligence

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage. It has a simplistic and adaptable […].

Data Ingestion 371

Data Ingestion Data Science 371

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction SQL?—?A structured query language is a must-know tool for everyone working with datasets. As its name suggests, it is primarily used to query, i.e., fetch the data from the relational database where data is stored in the form of tables. SQL helps […]. The post SQL Commands for Data Science appeared first on Analytics Vidhya.

Data Science 371

Data Science 371

Analytics Vidhya

JULY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the areas of machine learning research that focuses on knowledge retention and application to unrelated but crucial problems is known as “transfer learning.” In other words, rather than being a particular form of machine learning algorithm, transfer learning is a […].

Data Science 367

Data Science Machine Learning Algorithm Deep Learning 367

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Amazon Kinesis is one of the best-managed services that scale particularly flexibly, especially for processing real-time data at a massive site. These services can collect large streams of data records mainly consumed by the application process running on Amazon EC2 instances.

Data Science 364

Data Science 364

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Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning has paved its roots much more decisively in our daily lives. As a society, we experience miniature lifestyle changes, such as self-driving cars, Google Assistant, Netflix recommendations, spam email detection, and many more. Similarly, deep learning has also evolved in […].

Deep Learning 364

Deep Learning Data Science Computer Vision 364

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data Visualization is used to present the insights in a given dataset. With meaningful and eye-catching charts, it becomes easier to communicate data analysis findings. Several charts are available for specific purposes, like bar charts to present categorical distribution, line charts to […].

Categorization 359

Categorization Data Analysis Data Science 359

Analytics Vidhya

JULY 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache CouchDB is an open-source, document-based NoSQL database developed by Apache Software Foundation and used by big companies like Apple, GenCorp Technologies, and Wells Fargo. CouchDB is similar to MongoDB and uses JSON, also known as Javascript Object Notation, to store data, […].

Python 357

Python Data Science 357

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Cloud computing is one of the fastest-growing IT technologies today. By 2025, 83% of enterprise workloads will be in the cloud. According to the IDC report, the world will spend $160 billion on cloud services and infrastructure in 2018. The cloud encompasses a […].

Data Science 353

Data Science Big Data 353

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.

Generative AI

Analytics Vidhya

JULY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction AWS Redshift is a powerful, petabyte-scale, highly managed cloud-based data warehousing solution. It processes and handles structured and unstructured data in exabytes (1018 bytes). The most common use cases of Redshift include large-scale data migration, log analysis, processing real-time analytics, joining multiple […].

Data Science 355

Data Science 355

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Sqoop is a big data engine for transferring data between Hadoop and relational database servers. Sqoop transfers data from RDBMS (Relational Database Management System) such as MySQL and Oracle to HDFS (Hadoop Distributed File System). Big Data Sqoop can also be […].

Big Data Engineer 346

Big Data Engineer Big Data Data Science 346

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction The third generation of the internet, the semantic web, and the decentralized internet all refer to the same thing. Web 3.0 links data or objects with highly organized semantic relationships instead of linking information or publications for people and computers to read […].

Linked Data 346

Linked Data Data Science 346