Mon.Aug 29, 2022

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Regularization in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When training a machine learning model, the model can be easily overfitted or under fitted. To avoid this, we use regularization in machine learning to properly fit the model to our test set. Regularization techniques help reduce the possibility of overfitting and […].

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Metaverse: The time for CIOs to experiment is now

CIO Business Intelligence

For the past forty years CIOs have labored to retrofit, rearchitect, and ultimately replace underfunded and underappreciated legacy infrastructures in hopes of delivering the full benefits associated with periodically occurring waves of transformative emerging technologies. Debate now rages in IT and digital communities regarding what will be the seismic technological shift of the 2020s.

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Most Frequently Asked NLP Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing (NLP) is the branch of computer science and, more specifically, the domain of artificial intelligence (AI) that focuses on providing computers the ability to understand written and spoken language in a way similar to that of humans. Combining computational linguistics […].

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Build a Reproducible and Maintainable Data Science Project: A Free Online Book

KDnuggets

This free online book is a fantastic resource on how to structure, manage, and maintain your real-world data science projects.

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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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Pandas Profiling – A Visual Analytics Wonder

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Pandas’ Python profiling package produces an interactive set of tables and visualizations for exploratory data exploration (EDA). It can be difficult to understand pandas, associated data analysis tools (matplotlib, seaborn, etc.), and all the coding techniques and properties.

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3 Ways to Append Rows to Pandas DataFrames

KDnuggets

Learn a simple way to append rows in the form of arrays, dictionaries, series, and dataframes to another dataframe.

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6 key board questions CIOs must be prepared to answer

CIO Business Intelligence

Board directors like Jean Holley can be a CIO’s best friend or worst nightmare. A former CIO herself, Holley always reaches out to the CIO before board meetings to offer her advice on how to handle inevitable questions. “It’s amazing how many times they don’t take me up on it,” Holley says. These CIOs, especially those new to the role, often come off as overly techie, out of touch with the business, or worse, out of their depth in the position, she says.

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Guide to MetaMask Mobile Application

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you been in the cryptocurrency space for a while now? If yes, you have probably heard about how several centralized exchanges such as Celsius, Voyager, and Vauld suspended users’ assets (crypto). Users’ assets were stuck in these exchanges, preventing them from […].

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The Complete Data Science Study Roadmap

KDnuggets

This article will map out the things you need to do to become a data scientist.

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Using Apache Flink with Java

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Flink is a big data framework that allows programmers to process huge amounts of data in a very efficient and scalable way. This article will introduce some basic API concepts and standard data transformations available in the Apache Flink Java API. The […].

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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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Top Posts August 22-28: Free Python Project Coding Course

KDnuggets

Free Python Project Coding Course • 5 Tricky SQL Queries Solved • Decision Tree Algorithm, Explained • Free AI for Beginners Course • The Complete Collection of Data Science Projects & Part 2.

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Understand Apache Drill and its Working

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data scientists, engineers, and BI analysts often need to analyze, process, or query different data sources. This requires developing a lot of ETL jobs and transforming the data to guarantee a consistent structure for making it available at any next step in the […].

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Teradata VantageCloud Lake and ClearScape Analytics: Empowering Enterprise Analytical Innovation

Teradata

Teradata's new offerings, VantageCloud Lake and ClearScape Analytics, make it the complete cloud analytics & data platform, with cloud-native deployment and expanded analytics capabilities.

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Most Frequently Asked Tableau Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Tableau is a data visualization tool created in Salesforce that allows users to connect to any database, like SQL or MongoDB, and interact freely. It is widely used in the Business Intelligence industry, and raw data is quickly simplified to any format […]. The post Most Frequently Asked Tableau Interview Questions appeared first on Analytics Vidhya.

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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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Broadcom Software CTO: Charting a Course to Software Modernization

CIO Business Intelligence

By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software. This article was originally published here by Andy Nallappan. The enterprise software that underpins day-to-day operations is under significant strain at many organizations. Between the now-prevalent hybrid cloud architecture and ongoing digital transformation efforts, entire industries are experiencing tectonic shifts in how they do business and disruptions from new competitors.

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5 AI-Powered Startups Revolutionizing Fashion Industry

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction With breakthroughs in machine learning, it’s common to witness companies using ML algorithm-based solutions to do fashion trend forecasting, spotting winning products, forecasting demand for new products, inventory optimization across the value chain, etc.

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How the C-Suite Can Champion Sustainability Across the Enterprise

CIO Business Intelligence

Becoming a sustainable enterprise is no longer a “nice to have” priority – reducing a company’s carbon footprint and fighting climate change is now mainstream. In fact, more than 3,200 companies have set science-based carbon targets , and thousands of companies from around the world are pledging to reach net-zero emissions by either 2040 or 2050. While CIOs and CTOs play critical roles in a company’s digital transformation efforts , only about half of them are part of their organization’s sustai

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Smarten Support Portal Updates – August – 2022!

Smarten

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles. UDDC Expressions : Complex UDDC Expressions – Examples. Working with Tabular : Serial number column in Tabular. Working with Dashboard : Improve dashboard loading performance for dashboards with multiple objects.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Can a Business Analyst Become a Data Scientist?

Dataiku

Many business analysts, when thinking about their career progression, ask themselves the question: Can I become a data scientist? Or perhaps more importantly: Should I become a data scientist? Upskilling into a citizen data scientist role or fulfilling the additional educational requirements to become a formally trained data scientist are certainly viable career options for a business analyst.

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Top Tips: How to be Data Driven

Data Insight

Getting the insights you need.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay. The rate at which data is generated has increased exponentially in recent years. To put this into perspective, 40,000 search queries are performed per second via Google alone – this equates to 3.46 million searches per day and 1.2 trillion each year.

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How To Enhance Your Analytics with Insightful ML Approaches

Smart Data Collective

Did you know that 53% of companies use data analytics technology ? Most of these companies have found that is is very useful. It can be even more valuable when used in conjunction with machine learning. Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. You will get even more value out of analytics if you leverage machine learning at the same time.

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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.