Sat.Jul 23, 2022 - Fri.Jul 29, 2022

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Top Interview Questions & Answers for Apache Sqoop

Analytics Vidhya

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 399
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Best Practice of Using Data Science Competitions Skills to Improve Business Value

DataRobot Blog

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

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AlphaFold reveals the structure of the protein universe

DeepMind

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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15 Common AI Problem Types

Kavita Ganesan

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
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Pandas Functions You Should Know for Data Analysis

Analytics Vidhya

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.

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AlphaFold reveals the structure of the protein universe

DeepMind

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.

57
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Data Science as a Service

Wisdom Works

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.

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How a Delta Lake is Process with Azure Synapse Analytics

Analytics Vidhya

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.

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nbdev+Quarto: A new secret weapon for productivity

fast.ai

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

Python 52
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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Accelerating the race against antibiotic resistance

DeepMind

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 antibiotics. Yet antibiotic resistance, where bacteria evolve the ability to defeat these drugs, is quickly becoming a global problem. With new antibiotics thin on the ground, scientists like Marcelo Sousa and Megan Mitchell at the University of Colorado Boulder are looking at a different approach: target

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Data Science as a Service

Wisdom Works

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.

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SQL Commands for Data Science

Analytics Vidhya

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.

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Top 12 Artificial Intelligence Movies And TV Series To Watch In 2023

Dlabs.ai

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.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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AlphaFold unlocks one of the greatest puzzles in biology

DeepMind

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. It was the task of piecing together a model of the nuclear pore complex, one of the largest molecular machines in human cells.

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An End-to-end Guide on Anomaly Detection with PyCaret

Analytics Vidhya

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.

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Analysis on Dark Chocolates using Python and Plotly

Analytics Vidhya

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 395
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Apache Flume Interview Questions

Analytics Vidhya

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 […].

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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ETL Pipeline with Google DataFlow and Apache Beam

Analytics Vidhya

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 382
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Scaling- Transformers, Laws and Challenges

Analytics Vidhya

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 […].

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Top 10 AWS Redshift Interview Questions in 2022

Analytics Vidhya

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 […].

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Top 10 Questions to Test your Data Science Skills on Transfer Learning

Analytics Vidhya

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 […].

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Understanding User Needs and Satisfying Them

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.

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Building a Brain Tumor Classifier using Deep Learning

Analytics Vidhya

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 […].

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AWS Kinesis: Benefits & Use cases

Analytics Vidhya

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.

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Interactive Data Visualization using rbokeh

Analytics Vidhya

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 […].

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Know All About Smart Contracts!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most professional and personal life elements are governed by contracts and agreements, which are crucial to the smooth operation of contemporary society. Smart Contracts are significant since they contribute to the organisation and safety of the transactions going place.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

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Different Types of Cloud-based Services

Analytics Vidhya

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 […].

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Introduction to Apache CouchDB using Python

Analytics Vidhya

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 361
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Gradient Descent and its Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The gradient descent algorithm is an optimization algorithm mostly used in machine learning and deep learning. Gradient descent adjusts parameters to minimize particular functions to local minima. In linear regression, it finds weight and biases, and deep learning backward propagation uses the […].