Sat.Jan 18, 2020 - Fri.Jan 24, 2020

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I wanna be a data scientist, but… how?

KDnuggets

It’s easy to say "I wanna be a data scientist," but. where do you start? How much time is needed to be desired by companies? Do you need a Master’s degree? Do you need to know every mathematical concept ever derived? The journey might be long, but follow this plan to help you keep moving forward toward your career goal.

Data 160
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Featuring Apache Kafka in the Netflix Studio and Finance World

Confluent

Netflix spent an estimated $15 billion to produce world-class original content in 2019. When stakes are so high, it is paramount to enable our business with critical insights that help […].

Finance 27
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Replatforming Production Dataflows

Data Engineering Podcast

Summary Building a reliable data platform is a neverending task. Even if you have a process that works for you and your business there can be unexpected events that require a change in your platform architecture. In this episode the head of data for Mayvenn shares their experience migrating an existing set of streaming workflows onto the Ascend platform after their previous vendor was acquired and changed their offering.

Kafka 100
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Analytics in the Hybrid Cloud – An Architect’s Perspective

Teradata

The hybrid cloud is not just a consideration, but for many of our customers, already a reality. Read more to learn best practices when considering a hybrid or multi-cloud environment.

Cloud 87
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem

KDnuggets

The new algorithm takes a novel approach to neural architecture search.

Algorithm 160
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Infinite Storage in Confluent Platform

Confluent

A preview of Confluent Tiered Storage is now available in Confluent Platform 5.4, enabling operators to add an additional storage tier for data in Confluent Platform. If you’re curious about […].

Data 123

More Trending

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Analytics in the Hybrid Cloud – An Architect’s Perspective

Teradata

The hybrid cloud is not just a consideration, but for many of our customers, already a reality. Read more to learn best practices when considering a hybrid or multi-cloud environment.

Cloud 64
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The 5 Most Useful Techniques to Handle Imbalanced Datasets

KDnuggets

This post is about explaining the various techniques you can use to handle imbalanced datasets.

Datasets 159
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Introducing Confluent Platform 5.4

Confluent

I am pleased to announce the release of Confluent Platform 5.4. Like any new release of Confluent Platform, it’s packed with features. To make them easier to digest, I want […].

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Artificial Intelligence Books to Read in 2020

KDnuggets

Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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The Data Science Interview Study Guide

KDnuggets

Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.

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We Created a Lazy AI

KDnuggets

This article is an overview of how to design and implement reinforcement learning for the real world.

Designing 129
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What Do Data Scientists in Europe Do & How Much Are They Worth?

KDnuggets

Interested in knowing what a data scientist is worth in Europe, and what one does? Read this overview of a recent survey on the topic and gain some insight into the European data science professional job market.

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Python String Processing Primer

KDnuggets

Pursuing a text analytics path but don't know where to start? Try this string processing primer to first gain an understanding of using Python to manipulate and process strings at a basic level.

Python 123
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Top 5 AI trends for 2020

KDnuggets

We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?

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Explaining Black Box Models: Ensemble and Deep Learning Using LIME and SHAP

KDnuggets

This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.

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NLP Year in Review — 2019

KDnuggets

comments By Elvis Saravia, Affective Computing & NLP Researcher 2019 was an impressive year for the field of natural language processing (NLP).

Process 101
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Top KDnuggets tweets, Jan 15-21: My Pandas Cheat Sheet; 5 Key Reasons Why Data Scientists Are Quitting their Jobs

KDnuggets

5 Key Reasons Why Data Scientists Are Quitting their Jobs; My Pandas Cheat Sheet; Google Colab: Jupyter Lab on steroids (perfect for Deep Learning); Top 5 Must-have Data Science Skills.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Random Forest — A Powerful Ensemble Learning Algorithm

KDnuggets

The article explains the Random Forest algorithm and how to build and optimize a Random Forest classifier.

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PAW Healthcare Sneak Peek Agenda | Munich, 11-12 May

KDnuggets

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

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How to Get Started With Algorithmic Finance

KDnuggets

Algorithmic finance has been around for decades as a money-making tool, and it's not magic. Learn about some practical strategies along with and introduction to code you can use to get started.

Finance 81
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Big Data. Big Impact

KDnuggets

Ramapo College’s Master of Science in Data Science program will teach you to collect, synthesize, and analyze big data, become skilled in programming languages like R and Python, and leverage advanced tools to meet the demands of modern business and science.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained

KDnuggets

Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning.

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How to reinvent your career with computer science

KDnuggets

There is great news for anyone looking to make a career switch into computer science. So, what does it take to make the leap? Check out three top tips for budding computer scientists, as well as the Computer Science online MSc from the University of Bath.

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KDnuggets™ News 20:n03, Jan 22: I wanna be a data scientist, but… how? Top 10 Technology Trends for 2020

KDnuggets

If you want to be a Data Scientist, but not sure how to start - there is a perfect blog for you; Baidu top 10 technology trends for 2020; Math for programmers!; The future of Machine Learning; and more.

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Is Your Enterprise Being Disrupted by Consumerization?

Teradata

With the consumer expectations and experience bleeding into all aspects of business and life, how is consumerization translating to the enterprise? Read more.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Learn from Industry Leaders Facebook, Walmart, Lyft, eBay & More

KDnuggets

The agenda for Deep Learning World 2020 in Las Vegas, May 31-Jun 4, has been released. Use code KDNUGGETS for a 15% discount on your ticket.