Wed.Jan 19, 2022

article thumbnail

SQL: A Full Fledged Guide from Basics to Advance Level

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026. Data is collected and processed in every company regardless of the domain. Data […].

article thumbnail

DataOps with Matillion and DataKitchen

DataKitchen

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. The DataKitchen DataOps Platform provides a way to extend Matillion’s powerful cloud-native data integrations with DataOps capabilities that span the heterogeneous tools environments characteristic of large enterprises.

Testing 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Min Heap in Python and its Operations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We will learn in-depth about the min-heap in Python in this tutorial. This is where we will know. What exactly is a heap? What does Python’s min-heap mean? A heap’s time complexity and applications. Finally, we’ll examine the distinction between a min and […].

IT 339
article thumbnail

Top Programming Languages and Their Uses

KDnuggets

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

IT 160
article thumbnail

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.

article thumbnail

Which is Better for Machine Learning: Flask vs Django?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all know how popular the Python programming language is amongst Machine learning enthusiasts. So, once a machine learning model is ready, the next step is to deploy it to be used efficiently. But for deployment, there are various frameworks in Python that […]. The post Which is Better for Machine Learning: Flask vs Django?

article thumbnail

AI Technology is Becoming Essential for App Store Publishers

Smart Data Collective

Artificial intelligence technology is becoming more valuable than ever. The market was estimated to be worth over $50 billion by the end of 2020 and is growing around 20% a year. One of the biggest reasons AI is growing in popularity is due to its role in mobile app design. There are a lot of things that have to be taken into consideration with mobile app design.

More Trending

article thumbnail

6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

KDnuggets

Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

article thumbnail

Different Types of Regression Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Regression problems are prevalent in machine learning, and regression analysis is the most often used technique for solving them. It is based on data modelling and entails determining the best fit line that passes through all data points with the shortest distance possible […].

Modeling 292
article thumbnail

KDnuggetsâ„¢ News 22:n03, Jan 19: A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews

KDnuggets

A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews; 5 Things to Keep in Mind Before Selecting Your Next Data Science Job; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; Running Redis on Google Colab.

article thumbnail

Build a User Authentication System with QR Code Scanner using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Computer Vision has opened up a plethora of possibilities and one of the simplest and most popular day-to-day applications is the use of QR Codes and Bar Codes Scanners. ( Source: [link] ) So, what happens when you’re at the supermarket checkout? The cashier […]. The post Build a User Authentication System with QR Code Scanner using OpenCV appeared first on Analytics Vidhya.

article thumbnail

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.

article thumbnail

5 Product Strategy Consulting Tips for Data-Driven Marketing Campaigns

Smart Data Collective

Big data is extremely important in the marketing profession. This is supported by the fact that companies around the world will be spending over $4.6 billion on marketing analytics by 2026. A growing number of companies are using data analytics to better understand the mindset of their customers, provide better customer service , forecast industry trends and identify the ROI of various marketing strategies.

article thumbnail

Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

Cloudera

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security

article thumbnail

QA in Data Science: How to Spend Less Time on Data Prep Tasks for Analytics and AI Projects

Dataiku

Risks of failing to implement a data quality assurance policy can be far reaching, especially when it is a reactive versus proactive approach. Imagine incorrect or broken automated reports for stakeholders, causing not only hours of rework, but loss of confidence in the value of the data. Or, in the case of deployed ML models used in business applications, potentially disastrous impact to customers from inaccurate profiling or stopped services.

article thumbnail

Cloudera Streaming Analytics 1.6 Release Notes

Cloudera

We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 for CDP Private Cloud Base. With this release, we build on the foundation on 1.4 and 1.5 – with a number of fixes, enhancements, and features. Starting with this release, we now have an aligned release cycle for CSA Community Edition (CE). You can now expect simultaneous releases of CSA for both CE and CDP Private Cloud Base versions.

article thumbnail

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.

article thumbnail

Why You Should Listen to My New Podcast, Data Radicals

Alation

I’m excited to announce the launch of a project I’ve been working on for some time. This January, I’m launching my first podcast: Data Radicals. Data Radicals features conversations with leaders who drive the use of data in powerful and innovative ways. These are people who not only generate insights, but often play a role in changing how people think and work.