Sat.Mar 04, 2023 - Fri.Mar 10, 2023

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Challenges for Startups in Adopting AI and Data Analytics

insideBIGDATA

In this contributed article, Bal Heroor, CEO and Principal at Mactores, believes that by 2027, it is nearly unavoidable that every business, both big and small, will need to get serious about adopting a high-value data analytics system. While this can be a costly investment, there's no reason that even a startup can't be a part of the data transformation that is affecting almost every industry sector today.

Analytics 525
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ChatGPT vs Google Bard: A Comparison of the Technical Differences

KDnuggets

The Biggest Rivalry: ChatGPT vs Google Bard! Here's a comparison of the technical differences between the two AI engines.

AI 398
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Discover the power of Python for data science: A 6-step roadmap for beginners

Data Science Dojo

Python has become a popular programming language in the data science community due to its simplicity, flexibility, and wide range of libraries and tools. With its powerful data manipulation and analysis capabilities, Python has emerged as the language of choice for data scientists, machine learning engineers, and analysts.     By learning Python, you can effectively clean and manipulate data, create visualizations, and build machine-learning models.

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LSTM for Time Series Prediction in PyTorch

Machine Learning Mastery

Long Short-Term Memory (LSTM) is a structure that can be used in neural network. It is a type of recurrent neural network (RNN) that expects the input in the form of a sequence of features. It is useful for data such as time series or string of text. In this post, you will learn about […] The post LSTM for Time Series Prediction in PyTorch appeared first on MachineLearningMastery.com.

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The 2nd Generation of Innovation Management: A Survival Guide

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?

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insideBIGDATA Latest News – 3/7/2023

insideBIGDATA

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting.

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Revolutionizing Social Media Strategy with Automation Using Python

Analytics Vidhya

Introduction Social media has drastically changed communication and information consumption in our personal and professional lives. Usage of different social media platforms enables news consumption, new hobby discovery, and interpersonal contact on a personal level. Moreover, it provides companies and influencers with a professional platform to communicate with and engage with their target markets.

Python 348

More Trending

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Announcing General Availability of Databricks Model Serving

databricks

ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are.

ML 306
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Heard on the Street – 3/8/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 418
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Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

The Biggest Data Science Blogathon is now live! “Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. This 30th edition of the Data Science Blogathon is particularly very important because we are celebrating the women in […] The post Data Science Blogathon 30th Edition- Women in Data Science appeared first on Analytics Vidhya.

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Time Series Forecasting with statsmodels and Prophet

KDnuggets

Easy forecast model development with the popular time series Python packages.

Python 320
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Apache Airflow® Best Practices: DAG Writing

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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Handwritten Digit Recognition with LeNet5 Model in PyTorch

Machine Learning Mastery

A popular demonstration of the capability of deep learning techniques is object recognition in image data. The “hello world” of object recognition for machine learning and deep learning is the MNIST dataset for handwritten digit recognition. In this post, you will discover how to develop a deep learning model to achieve near state-of-the-art performance on […] The post Handwritten Digit Recognition with LeNet5 Model in PyTorch appeared first on MachineLearningMastery.com.

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#insideBIGDATApodcast: Three Metrics for Measuring Enterprise AI Success

insideBIGDATA

Welcome to the insideBIGDATA series of podcast presentations, a curated collection of topics relevant to our global audience. Topics include big data, data science, machine learning, AI, and deep learning. Today's guest is Supreet Kaur, Assistant Vice President at Morgan Stanley. In conversation with Emerj CEO Daniel Faggella, Supreet tells business leaders three metrics they need to measure their enterprise AI success.

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Advanced NumPy: Broadcasting and Strides

Analytics Vidhya

Introduction NumPy is an open-source library in python and a must-learn if you want to enter the data science ecosystem. It is the library underpinning other important libraries such as Pandas, matplotlib, Scipy, scikit-learn, etc. One of the reasons this library is so foundational is because of its array of programming capabilities. Array programming, or […] The post Advanced NumPy: Broadcasting and Strides appeared first on Analytics Vidhya.

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What is Google AI Bard?

KDnuggets

Google responds to OpenAI’s ChatGPT with their own AI chatbot, Google Bard.

AI 290
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Databricks SQL Statement Execution API – Announcing the Public Preview

databricks

Today, we are excited to announce the public preview of the Databricks SQL Statement Execution API, available on AWS and Azure. You can.

SQL 279
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Walled Garden Data Reliance – Hindrance, Annoyance or Myth?

insideBIGDATA

In this special guest feature, Aman Khanna, ProfitWheel Co-founder, highlights why relying on walled garden data is not best for brands. There needs to be a fundamental shift in how they collect and use third party data while optimizing their own first party data pools. If corporate data strategies do not start restructuring now, they are in for an acute headache down the road, when that data access vice tightens even more and they are left not knowing who they are advertising to due to signal l

Big Data 379
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Campus Recruitment: A Classification Problem with Logistic Regression

Analytics Vidhya

Introduction In this project, we will be focusing on data from India. And our goal is to create a predictive model, such as Logistic Regression, etc. so that when we give the characteristics of a candidate, the model can predict whether they will recruit. The dataset revolves around the placement season of a Business School in India. The dataset has various factors on candidates, such as work experience, exam percentage, etc.

Analytics 335
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First Open Source Implementation of DeepMind’s AlphaTensor

KDnuggets

The first open-source implementation of AlphaTensor has been released and opens the door for new developments to revolutionize the computational performance of deep learning models.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. DeepMind launched AlphaFold , which can accurately predict 3D models of protein structures, accelerating research in nearly every field of biology. The United States published a Blueprint for the AI Bill of Rights.

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Harness Unstructured Data with AI to Improve Investigative Intelligence 

insideBIGDATA

In this special guest feature, Jordan Dimitrov, Product Manager, Unstructured Data Analytics, Cognyte, addresses the importance of unstructured data, why AI is an invaluable tool and how to move beyond legacy approaches to data management. Unstructured data comprises the majority of data being used for investigations by governmental organizations today and will play an increasingly vital role in investigative analytics going forward.

AI 370
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Top 6 Cassandra Interview Questions

Analytics Vidhya

Introduction Apache Cassandra is a NoSQL database management system that is open-source and distributed. It is meant to handle massive volumes of data across many commodity servers while maintaining high availability with no single point of failure. Facebook created Cassandra, which ultimately became an Apache Software Foundation project. It is well-known for its rapid write […] The post Top 6 Cassandra Interview Questions appeared first on Analytics Vidhya.

Database 328
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Getting Started with GitHub CLI

KDnuggets

Learn about the super command line tool that makes it easy to create, view, and manage GitHub repositories.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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The ‘Search’ For Simpler Analytics

Adrian Bridgwater for Forbes

Given that “set” refers to a type of yoghurt, a list of numbers, a race start call , something the sun does, some dishes, putting an object down, a television studio & a place where badgers live - you can see why we need large language models to define the relationships between one word & another.

Analytics 246
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Databricks Launches Simplified Real-Time Machine Learning for the Lakehouse

insideBIGDATA

Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications. Now, organizations can leverage the Databricks Lakehouse Platform to integrate real-time machine learning systems across their business, from personalized recommendations to customer servi

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Top 6 Amazon S3 Interview Questions

Analytics Vidhya

Introduction S3 is Amazon Web Services cloud-based object storage service (AWS). It stores and retrieves large amounts of data, including photos, movies, documents, and other files, in a durable, accessible, and scalable manner. S3 provides a simple web interface for uploading and downloading data and a powerful set of APIs for developers to integrate S3.

AWS 329
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3 Hard Python Coding Interview Questions For Data Science

KDnuggets

No mercy today! I have three hard-level Python coding interview questions that require you to be on top of your game in Python and solve business problems.

Python 280
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

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The Basics of Python Packaging in Early 2023

DrivenData Labs

You may have heard there are new, modern standards in Python packaging ( pyproject.toml !) that have been adopted over the last few years. There are now several popular and shiny modern tools for managing your packaging projects. (Poetry! Hatch! PDM!) However, the documentation is scattered and much of it is specific to these competing tools. What are the recommended best practices when creating a Python package?

Python 246
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The ‘Secret’ World Of Air-Gapped Software Development

Adrian Bridgwater for Forbes

The notion of air-gapped software relates to the use of machines that are isolated away from other computers, networks, wireless or wired connectivity channels or the web.

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How to Classify Web Pages Using Machine Learning?

Analytics Vidhya

Introduction A web page is a document or information resource that is accessible through the World Wide Web. It is typically made up of HTML (Hypertext Markup Language), which provides the structure and content of the page, and CSS (Cascading Style Sheets), which provides the styling information for how the page should be presented to […] The post How to Classify Web Pages Using Machine Learning?

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Hydra Configs for Deep Learning Experiments

KDnuggets

This brief guide illustrates how to use the Hydra library for ML experiments, especially in the case of deep learning-related tasks, and why you need this tool to make your workflow easier.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.