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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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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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 324
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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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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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 397

More Trending

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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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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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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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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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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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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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#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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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 276
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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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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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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 306
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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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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 288
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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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 311
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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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PimEyes facial recognition search engine finds your pictures all over the web

Dataconomy

Do you wish there was a way to search the internet for all your images simultaneously? PimEyes does exactly that. Pimeyes is an AI-powered face recognition search engine that can discover images of a specific face on the web.

AI 199
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Time Series Forecasting with statsmodels and Prophet

KDnuggets

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

Python 304
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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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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Employees Are Feeding Sensitive Biz Data to ChatGPT, Raising Security Fears

Hacker News

More than 4% of employees have put sensitive corporate data into the large language model, raising concerns that its popularity may result in massive leaks of proprietary information.

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DuckDuckGo AI: What DuckAssist can and cannot do

Dataconomy

The DuckDuckGo AI team has developed DuckAssist, a beta version of its AI-powered Wikipedia, in your search bar. DuckAssist utilizes “natural language technology” developed by OpenAI and Anthropic. DuckAssist is similar to the new Bing in many respects, but it differs significantly from ChatGPT in a number of crucial aspects.

AI 193
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4 Ways to Generate Passive Income Using ChatGPT

KDnuggets

Discover how you can leverage ChatGPT to generate passive income.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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How can a Statistician Become a Data Scientist?

Analytics Vidhya

Introduction Statistics can be traced back to the mid-18th century, while Data Science is a relatively new concept. The term Data science was created in the 1960s and is deeply rooted in statistics but now has evolved into artificial intelligence, machine learning, etc. Data science has seen drastic growth due to the exponential development of […] The post How can a Statistician Become a Data Scientist?

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Building a Convolutional Neural Network in PyTorch

Flipboard

Neural networks are built with layers connected to each other. There are many different kind of layers. For image related applications, you can always find convolutional layers. It is a layer with very few parameters but applied over a large sized input. It is powerful because it can preserve the spatial structure of the image. […] The post Building a Convolutional Neural Network in PyTorch appeared first on MachineLearningMastery.com.

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The blueprint for success: Demystifying enterprise architecture

Dataconomy

What is enterprise architecture? It is a strategic approach to designing and managing an organization’s structure, processes, systems, and technologies to achieve its business goals and objectives. It can be defined as the practice of designing, planning, and managing an organization’s overall structure and operations. This includes its business processes, technology infrastructure, and data architecture.

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What is Google AI Bard?

KDnuggets

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

AI 282
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.