Tue.Jun 27, 2023

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From Theory to Practice: Building a k-Nearest Neighbors Classifier

KDnuggets

The k-Nearest Neighbors Classifier is a machine learning algorithm that assigns a new data point to the most common class among its k closest neighbors. In this tutorial, you will learn the basic steps of building and applying this classifier in Python.

Building 124
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Lakehouse AI: a data-centric approach to building Generative AI applications

databricks

Generative AI will have a transformative impact on every business. Databricks has been pioneering AI innovations for a decade, actively collaborating with thousands.

Building 117
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Pandas 2.0: A Game-Changer for Data Scientists?

Towards Data Science

The Top 5 Features for Efficient Data Manipulation This April, pandas 2.0.0 was officially launched , making huge waves across the data science community. Photo by Yancy Min on Unsplash. Due to its extensive functionality and versatility, pandas has secured a place in every data scientist’s heart. From data input/output to data cleaning and transformation, it’s nearly impossible to think about data manipulation without import pandas as pd, right ?

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Introducing LakehouseIQ: The AI-Powered Engine that Uniquely Understands your Business

databricks

Today, we are thrilled to announce LakehouseIQ, a knowledge engine that learns the unique nuances of your business and data to power natural.

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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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Unveiling Midjourney 5.2: A Leap Forward in AI Image Generation

KDnuggets

Discover the latest advancements in AI image generation with Midjourney 5.2. This article provides an in-depth look at the new features and improvements, including the innovative 'Zoom Out' feature, 'Make Square' tool, and enhanced 'Stylize' command. Learn how these features are revolutionizing the field of AI artistry.

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Introducing Lakehouse Federation Capabilities in Unity Catalog

databricks

Data teams face many challenges to quickly access the right data primarily due to data fragmentation, time and cost involved in consolidating data.

More Trending

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What’s new with Unity Catalog at Data and AI Summit 2023

databricks

The fundamental principles of governance – accountability, compliance, quality, and transparency – that are essential for data management have now become equally imperative for.

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Evolution of the Data Landscape

KDnuggets

The article follows the story of evolution in the data space through the lens of evolutionary patterns. It talks of the state of significant milestones in the evolutionary journey, their achievements, challenges, and the next milestone that solved those challenges. The article comes from both a business and technical perspective, owing to the persona of the authors.

Data 80
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From community to creation—celebrating a year of Product Ideas

ThoughtSpot

Active listening is an admired and sought after skill in both the professional and personal sphere. After all, who doesn’t love to be heard? But what happens when we apply that mindset to the way our organizations solicit feedback and interact with our customers? We don’t have to make any assumptions to answer this question, because we have the data.

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Introducing Materialized Views and Streaming Tables for Databricks SQL

databricks

We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming.

SQL 87
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Cookieless authentication in ThoughtSpot Everywhere

ThoughtSpot

What is cookieless authentication? Amidst growing concerns around user privacy and regulatory laws, the cookieless paradigm has been gaining momentum over time in digital advertising. In addition, web browsers are increasingly blocking third-party cookies altogether in web sessions, necessitating the need for new authentication methods in web applications.

Cloud 80
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Measuring Performance Improvements with the Snowflake Performance Index

Snowflake

At Snowflake Summit , we announced the public launch of the Snowflake Performance Index (“SPI”), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. At Snowflake, our product philosophy revolves around continuously enhancing the performance of our product, particularly the core database engine.

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Databricks Announces 2023 Global Partner Awards

databricks

The Databricks Partner Ecosystem of over 2,000 partners globally are critical to building and delivering the best data and AI solutions in the.

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Five Ways A Modern Data Architecture Can Reduce Costs in Telco

Cloudera

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. This is no less crucial today, as telcos balance the needs to cut costs and improve efficiencies while delivering innovative products and services.

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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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How Mobile Premier League Reduced Player Churn with Confluent Cloud

Confluent

Streaming data for gaming enables real-time player matchmaking, personalization, and fraud detection to deliver the best gaming experiences and reduce player churn.

Cloud 62
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Snowpark Container Services: Securely Deploy and run Sophisticated Generative AI and full-stack apps in Snowflake

Snowflake

Containers have emerged as the modern approach to package code in any language to ensure portability and consistency across environments, especially for sophisticated AI/ML models and full-stack data-intensive apps. These types of modern data products frequently deal with massive amounts of proprietary data. The complexity of creating, developing and running these workloads at scale is generally complex, forcing developers and data scientists to spend more time managing the compute and clusters

Scala 62
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How Snowflake Data Quality Monitoring Helps Monte Carlo Customers Deliver More Reliable Data Workloads 

Monte Carlo

Raise your hand (or nod your head in solidarity at your desk) if your CEO ever told you that the numbers in a critical dashboard are “way off?” Has a customer ever called out errors in product dashboards? What about a spike in data volume for an important financial model that went unnoticed for weeks – eventually costing your company millions of dollars – because there wasn’t a noticeable change in your KPIs?

Data 52
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Personalized Teaching with AI: Revolutionizing Traditional Teaching Methods

U-Next

Introduction The class had 35 students in all. Among them, Xen was a slow learner, and his teacher was in a dilemma. Should she slow down for Xen? But that would cause boredom to others in the class. In her normal pace of teaching, Xen failed to match up. And about Xen, she was sure that once the concepts were clear, he would do well. Figuring out a solution to handle the different learners in her class was rather a tough task.

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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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Monte Carlo Becomes First Data Observability Company to Reach Snowflake Elite Tier Partner Status

Monte Carlo

I’m excited to share that Monte Carlo is now an Elite Snowflake partner! With this distinction, Monte Carlo becomes the first-ever data observability to reach the Elite tier of partnership. As an elite partner, Monte Carlo can accelerate the digital transformation of its joint customers who can fully leverage the performance, flexibility and near-infinite scalability of the Snowflake Data Cloud.

Cloud 52
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How To Use the Pivot Table in Excel ?

U-Next

Introduction Data analytics has been used as an efficient technique operating behind the scenes to manage the analytical job and get the best outcomes possible. Microsoft Excel is a strong tool for handling data by building customizable data analysis, visually representing data, calculating margins and other common comparisons, and so on. While working with more complex data, Excel allows users to adjust the fields and functions that perform computations.

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Snowflake invests in Reka, Further Expanding LLM capabilities in the Data Cloud

Snowflake

As enterprises begin to leverage generative AI to transform their businesses, Snowflake is committed to helping our customers unlock the value of their enterprise data with the power of Large Language Models (LLMs). As part of this initiative, today we’re excited to announce our investment and partnership with Reka, a builder of purpose-built generative models for the enterprise.

Cloud 52
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Why Organization Development is Important in Project Management?

Knowledge Hut

With the business landscape continually evolving and posing challenges for corporate leadership, companies that strive to keep up with rapidly upgrading technologies, transforming market conditions, and dynamic customer demands can only survive. This makes the concept of organization development (OD) heavily important amid this modern evolving environment, particularly within the practice of project management and product management.

Project 52
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Snowflake Native App Framework Now Available to Developers in AWS

Snowflake

At Snowflake Summit 2022, we introduced a new way of building apps with the Snowflake Native App Framework. Today, we are excited to bring the power of the Snowflake Native App Framework to developers around the world with the public preview in AWS. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Distribution and monetization capabilities will be available in public preview on AWS later this year.

AWS 52
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Procurement Planning: What is it & How to Create One?

Knowledge Hut

Business landscapes have evolved, and in a dynamic setting where efficiency is paramount, procurement planning has become key to organizational success. Imagine a situation where all your company resources are optimized, and costs are significantly minimized. This is the power of implementing a foolproof procurement process when orchestrated correctly.

IT 52
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Becoming a Self-Taught UI/UX Designer: A Practical Step-by-Step Guide

Edureka

If you’re navigating a website, effortlessly gliding through seamless transitions, marveling at stunning visuals, and experiencing pure digital bliss. Ever wondered how such a mesmerizing experience comes to life? That, my friend, is the art of UI/UX design—the magic that turns ordinary websites and applications into extraordinary works of art.

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Data Analytics in Media Industry: Key Benefits and Use Cases

Hevo

How do you separate yourself from the competition as a media company? You use data to lend that personal touch to your service, making you that much more memorable to your customers. Here’s an example.

Media 52
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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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Top Business Management Projects from Beginners to Advance

Knowledge Hut

In today's fast-paced, ever-changing business landscape, companies are in a constant search for ways to improve their overall efficiency, productivity, and competitive edge. Business management is a critical component of any successful business, as it involves the organization and coordination of various activities to achieve the desired goals. This blog will explore the importance of business management and delve into business management project ideas for beginners.

Project 52
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What’s New with Data Sharing and Collaboration on the Lakehouse

databricks

Databricks provides the first open source approach to data sharing and collaboration across data, analytics, and AI. Customers can share live data sets.

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Data Structures and Algorithms (DSA) Projects with Source Code

Knowledge Hut

Data structures and algorithms are the building blocks of effective software in computer science and programming. Understanding these foundational concepts is crucial for solving complex problems and creating high-performance applications. In this blog, we delve into the world of data structures and algorithms, exploring their importance, discussing various applications and implementation methods, and demonstrating how they can be used to create exceptional software solutions.

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Harvest to BigQuery: 3 Easy Methods

Hevo

Time tracking lets you make smart decisions about how you run and price projects, how you spend your day, and how you schedule tasks for your team.

Project 52
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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.