KDnuggets

JANUARY 20, 2020

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 157

Data 157

Data Engineering Podcast

JANUARY 20, 2020

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

Kafka Media Architecture Data Pipeline 100

Confluent

JANUARY 23, 2020

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 122

Data 122

Teradata

JANUARY 20, 2020

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

Cloud 87

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.

Data Science

KDnuggets

JANUARY 22, 2020

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.

Data Science 134

Data Science Data 134

Rockset

JANUARY 23, 2020

A Brief History of Distributed Databases The era of Web 2.0 brought with it a renewed interest in database design. While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.

Database 40

Database MySQL Kafka NoSQL 40

Teradata

JANUARY 20, 2020

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

Cloud 64

KDnuggets

JANUARY 20, 2020

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 120

Python Process Data Process Programming 120

KDnuggets

JANUARY 21, 2020

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?

Technology 111

Technology Healthcare Retail 111

KDnuggets

JANUARY 23, 2020

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.

Data Science 117

Data Science Data 117

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.

Engineering

KDnuggets

JANUARY 21, 2020

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

Deep Learning 137

Deep Learning Machine Learning 137

KDnuggets

JANUARY 22, 2020

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

Datasets 141

Datasets Python 141

KDnuggets

JANUARY 20, 2020

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

Algorithm 157

Algorithm Project Architecture 157

KDnuggets

JANUARY 21, 2020

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.

Deep Learning 101

Deep Learning 101

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.

Building

KDnuggets

JANUARY 22, 2020

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.

Deep Learning 75

Deep Learning Data Science Data 75

KDnuggets

JANUARY 20, 2020

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

Designing 89

Designing 89

KDnuggets

JANUARY 23, 2020

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 64

Finance Algorithm Coding IT 64

KDnuggets

JANUARY 20, 2020

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.

Algorithm 62

Algorithm Machine Learning Data Science Data 62

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Project

KDnuggets

JANUARY 22, 2020

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.

Big Data 61

Big Data Programming Language Data Science Python 61

KDnuggets

JANUARY 23, 2020

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!

Healthcare 65

Healthcare Deep Learning 65

KDnuggets

JANUARY 21, 2020

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.

Computer Science 61

Computer Science Education IT Data Science 61

KDnuggets

JANUARY 23, 2020

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

Process 70

Process 70

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

Building

KDnuggets

JANUARY 22, 2020

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

Algorithm 84

Algorithm Building Python 84

Teradata

JANUARY 23, 2020

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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59

KDnuggets

JANUARY 22, 2020

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.

Technology 49

Technology Machine Learning Data 49

KDnuggets

JANUARY 20, 2020

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.

Deep Learning 45

Deep Learning Coding 45

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.

Certification

Confluent

JANUARY 21, 2020

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

Finance Kafka IT Systems 27