EPISODE · May 21, 2021 · 8 MIN
Prequisites for Time Series
from Data Skeptic
Today's experimental episode uses sound to describe some basic ideas from time series. This episode includes lag, seasonality, trend, noise, heteroskedasticity, decomposition, smoothing, feature engineering, and deep learning.
NOW PLAYING
Prequisites for Time Series
0:00
8:41
1×
No transcript for this episode yet
Similar Episodes
2026抖音热播超嗨口水旋律烧串烧
May 11, 2026 ·66m
全国语ProgHouse网络红歌DJ串烧
May 11, 2026 ·67m
Sacramento Crime Report — May 5, 2026
May 5, 2026 ·4m
Sacramento Crime Report — May 4, 2026
May 4, 2026 ·4m
Similar Podcasts
NEWMORROW SESSIONS - A PodCast Series on the Future of Hospitality
Mario C. Bauer, Florian Schneider, Axel Weber & Dr. Tillman Bardt
The Newmorrow PodCast is more than a podcast — it's a platform for open dialog on the future of our business, a platform for those building what doesn’t exist yet. Here, we share and embrace our passion for the hospitality industry, but we won’t romanticize the journey. We ask the tough questions, confront uncomfortable truths, and prepare for a future that resists easy answers. We believe that the tougher and wilder times become, the more openly, honestly and humanely people need to talk to each other and act together. We believe, openness, togetherness, and truthfulness should also be cornerstones of a professional community to develop our utopian idea of „open source“. This is a space where visionaries don’t just imagine the future — they wrestle with the paradoxes that shape it: success vs. happiness, data vs. instinct, stability vs. reinvention. Join leaders, entrepreneurs, and thinkers as they share not what made them — but what’s actively shaping them, now and next. So tune in
The Health Odyssey: Navigating Tomorrow's Medicine
Podcast
Welcome to 'The Health Odyssey: Navigating Tomorrow's Medicine,' where we embark on an adventurous journey through the ever-evolving world of healthcare. Each episode is like a treasure map, guiding you through the rich tapestry of ancient healing arts mixed with futuristic tech wizardry. We’ll chat about the wild west of health data privacy, the corporate giants reshaping our care, and the mind-bending potential of psychedelics for mental wellness. Think of us as your trusty sidekicks, unraveling the mysteries of modern medicine while keeping it real and relatable. Let’s dive into the stories, the science, and the soul of healthcare, paving the way for a healthier tomorrow.
Talent Stacker
Jonathan Mendonsa
Data suggests that the average cost of college in 2019 was $122,000 while the entry-level salary for a college graduate at the same time period was 50,000. ROI is a distant memory.hopefully for that that $122,000 the student graduates with a degree and possibly some skills. The reality is, as most individuals approach graduation, they realize that ultimately what they have to prove to their employers that they actually have the skills and since you don't need a degree or permission to start building skills, let’s document the stories and best practices of individuals that crushed the game by focusing on building their skills and their talent stack. Maybe you feel like you don’t have a talent stack. What are the skills you need to be able to generate an above-median income and when paired with interest-led learning this talent stack will allow you to work towards financial independence and design your future?If you're up for this challenge to go from no Talent Stack to designing you
Sacramento, California Crime Report
Inception Point Ai
Sacramento, California Crime Report is your go-to podcast for the latest updates and in-depth analysis of crime trends in the Sacramento area. Join us as we explore real cases, discuss law enforcement efforts, and offer expert insights into the community's safety. Stay informed and engaged with comprehensive coverage of everything from local crime stories to broader criminal justice issues affecting Sacramento. Tune in for weekly episodes that dive into the data and deliver the facts you need to stay aware in California's capital city. For more info go to https://www.quietplease.ai Check out these deals https://amzn.to/48MZPjsThis show includes AI-generated content.
Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 8 minutes long.
When was this Data Skeptic episode published?
This episode was published on May 21, 2021.
What is this episode about?
Today's experimental episode uses sound to describe some basic ideas from time series. This episode includes lag, seasonality, trend, noise, heteroskedasticity, decomposition, smoothing, feature engineering, and deep learning.
Can I download this Data Skeptic episode?
Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!