Sat.Feb 12, 2022 - Fri.Feb 18, 2022

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Free MIT Courses on Calculus: The Key to Understanding Deep Learning

KDnuggets

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

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Build Your Own End To End Customer Data Platform With Rudderstack

Data Engineering Podcast

Summary Collecting, integrating, and activating data are all challenging activities. When that data pertains to your customers it can become even more complex. To simplify the work of managing the full flow of your customer data and keep you in full control the team at Rudderstack created their eponymous open source platform that allows you to work with first and third party data, as well as build and manage reverse ETL workflows.

Building 100
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Bringing Your Own Monitoring (BYOM) with Confluent Cloud

Confluent

As data flows in and out of your Confluent Cloud clusters, it’s imperative to monitor their behavior. Bring Your Own Monitoring (BYOM) means you can configure an application performance monitoring […].

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Upgrade Hortonworks Data Platform (HDP) to Cloudera Data Platform (CDP) Private Cloud Base

Cloudera

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

Cloud 100
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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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An Easy Guide to Choose the Right Machine Learning Algorithm

KDnuggets

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

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Become A Better Data Engineer On A Shoestring (More Free Resources)

Pipeline Data Engineering

A bit more than a year ago I’ve compiled an annotated list of the best free courses and learning resources that could help anyone to become a data engineer on a shoestring. We’ve received an overwhelming amount of positive feedback on it, so after a full year of running the bootcamp I sat down again and collected an other bunch of resources we’ve bumped into during the cohorts.

More Trending

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Of Muffins and Machine Learning Models

Cloudera

While it is a little dated, one amusing example that has been the source of countless internet memes is the famous, “is this a chihuahua or a muffin?” classification problem. Figure 01: Is this a chihuahua or a muffin? In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. The eyes and nose of a chihuahua, combined with the shape of its head and colour of its fur do look surprising like a muffin if we squint at the images in figure 01 above.

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How You Can Use Machine Learning to Automatically Label Data

KDnuggets

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

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What Did You Build at Pipeline Academy? This.

Pipeline Data Engineering

Data engineers have to wear many different hats at the same time: they are architects, designers, builders, maintainers, procurement and quality assurance — to just name a few. If you’d like to break into this profession, you need to prove that you can do all of the above, and more. One of the key assets you can use to do that is a data product that you’ve built with your own hands.

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Feature Selection Methods in Machine Learning

ProjectPro

Feature selection techniques are fundamental to predictive modeling tasks; one can not create predictive models without selecting the features correctly. What are these feature selection methods, and how are they used in building efficient predictive models? You will find out all the answers in this article. If you have ever baked a cake in your life or perhaps witnessed someone following a recipe to bake it, you must have noticed how crucial it is to precisely measure each ingredient's quantity

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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 Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This was used to test our setup. This week, we got to think about our data ingestion design. We looked at the following: How do we ingest – ETL vs ELT Where do we store the data – Data lake vs data warehouse Which tool to we use to ingest – cronjob

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Random Forest® vs Decision Tree: Key Differences

KDnuggets

Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

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Introduction to YugabyteDB and Apache Superset

Preset

Apache Superset is the most popular open-source data exploration and visualization platform in the world. YugabyteDB is a distributed SQL database that works seamlessly using the standards PostgreSQL connector.

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DataOps For Beginners

DataKitchen

In this webinar, take a trip to DataOps 101 and learn the basics! The post DataOps For Beginners first appeared on DataKitchen.

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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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Leadership in 2022: Focus on Empathy

Cloudera

The pandemic has accelerated diversity of teams, remote working, and the way we work, but most of all, it has emphasised the necessity of soft skills in our leaders. Empathy stands out as a core skill that must be alive and nurtured within our teams if we are to achieve our desired outcomes in 2022 and beyond. This blog explores what empathy looks like in a business context, why it’s so important, and what we’re up to at Cloudera.

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How to Become a Successful Data Science Freelancer in 2022

KDnuggets

In this article, I will walk you through how you can use your data science skills to land freelance gigs.

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Rapid Event Notification System at Netflix

Netflix Tech

By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title. Reacting to these actions in near real-time to keep the experience consistent across devices is critical for ensuring an optimal member experience.

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15 ETL Project Ideas for Practice in 2023

ProjectPro

The big data analytics market is expected to grow at a CAGR of 13.2 percent, reaching USD 549.73 billion in 2028. This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Data engineers are in charge of developing data models, constructing data pipelines, and monitoring ETL (extract, transform, load).

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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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Bring Your Code To Your Streaming And Static Data Without Effort With The Deephaven Real Time Query Engine

Data Engineering Podcast

Summary Streaming data sources are becoming more widely available as tools to handle their storage and distribution mature. However it is still a challenge to analyze this data as it arrives, while supporting integration with static data in a unified syntax. Deephaven is a project that was designed from the ground up to offer an intuitive way for you to bring your code to your data, whether it is streaming or static without having to know which is which.

Coding 100
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Top Posts Feb 7-13: Decision Tree Algorithm, Explained

KDnuggets

Also: How to Learn Math for Machine Learning; 7 Steps to Mastering Machine Learning with Python in 2022; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1.

Algorithm 108
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GraphQL persisted queries and Schema stability

Zalando Engineering

Persisted Queries Persisted Queries in GraphQL are like stored procedures in Databases. To know about the Apollo's way of automated persisted queries, please follow their documentation here. In Zalando, we took a different approach - to disable GraphQL in production. It might sound counterintuitive at first - we have a GraphQL service, but we disable GraphQL in production - why?

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Introduction to Convolutional Neural Networks Architecture

ProjectPro

Early in 2020, when Myntra launched its visual product search for the first time, it created waves in e-commerce. With this new feature, the customers no longer had to spend hours searching for a dress similar to the one they came across randomly in an advertisement. All they had to do was take a picture/screenshot and upload it on Myntra; the app would automatically fetch outfits similar to the picture.

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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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Top 5 Reasons for Moving From Batch To Real-Time Analytics

Rockset

Fast analytics on fresh data is better than slow analytics on stale data. Fresh beats stale every time. Fast beats slow in every space. Time and time again, companies in a wide variety of industries have boosted revenue, increased productivity and cut costs by making the leap from batch analytics to real-time analytics. One of the perks of my job is getting to work every day with trailblazers of the real-time revolution, whether it is Doug Moore at construction SaaS provider Command Alkon , Carl

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KDnuggets™ News 22:n07, Feb 16: How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture

KDnuggets

How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture; 5 Ways to Apply AI to Small Data Sets; Top 5 Free Machine Learning Courses; Junior Data Scientist: The Next Level.

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Make the leap to Hybrid with Cloudera Data Engineering

Cloudera

Note: This is part 2 of the Make the Leap New Year’s Resolution series. For part 1 please go here. When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. We not only enabled Spark-on-Kubernetes but we built an ecosystem of tooling dedicated to the data engineers and practitioners from first-class job management API & CLI for dev-ops automatio

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How to Train Tesseract OCR in Python?

ProjectPro

Optical Character Recognition (OCR) has been used for decades across multiple sectors in the industry, such as banking, retail, healthcare, transportation, and manufacturing. With a tremendous increase in digitization in this 21st century, a.k.a Information age, OCR Python applications are witnessing huge demand. In fact, according to a recent survey, the market share of OCR will increase by 16.7% (compound annual growth rate) from 2021 to 2028 from 7.46 billion USD in 2020.

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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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17 New Things Every Modern Data Engineer Should Know in 2022

Rockset

It’s the start of 2022 and a great time to look ahead and think about what changes we can expect in the coming months. If we’ve learned any lessons from the past, it’s that keeping ahead of the waves of change is one of the primary challenges of working in this industry. We asked thought leaders in our industry to ponder what they believe will be the new ideas that will influence or change the way we do things in the coming year.

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Octoparse 8.5: Empowering Local Scraping and More

KDnuggets

Octoparse 8.5 is now released with game-changing new features and major improvements.

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Building a Visual Search Engine – Part 2: The Search Engine

KDnuggets

Ever wonder how Google or Bing finds similar images to your image? The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

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From Oracle to Databases for AI: The Evolution of Data Storage

KDnuggets

From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

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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.