Learner's Guide to the Galaxy

Spark Production House

4 Episodes

Before the days of the internet gaining knowledge was a challenge, we had to attend school and listen to the experts on the subject. Heaven forbid we actually trot down to our local library and read an academically, peer reviewed science text. These days are gone however; now we have the knowledge of the entire world in our fingertips (and we still choose to watch cat videos). The point is, there is more noise to sift through, the problem now isn’t the ability to accumulate knowledge, it’s the ability to understand what is bs and what is the ACTUAL truth.

That is why we are here, the learners guide to the galaxy, just like you, we are also trying to sift through the madness of the internet and the world around us. We are young professionals, students, lifelong learners and it is our mission to bring light to the most engaging topics in our world today. From big data, 3D printing, green energy, world conflicts, you name it, we want to learn about it with you.

Join us as we explore earth, humanity, the universe, and everything in between on the Learner’s Guide to the Galaxy.

Podcasts Similar to Learner's Guide to the Galaxy

NASA Blueshift (89.34%)

NASA Goddard Space Flight Center

TSX-2157 (88.4%)

[game x]

Significant Statistics (88.11%)

John Russell

Astro arXiv | astro-ph.IM (87.43%)

Corentin Cadiou

John Mather (87.34%)

Academy of Achievement

AH Fizzics (86.91%)

Sinclair Mackenzie

Advanced Monte Carlo Methods for Complex Inference Problems (86.49%)

Cambridge University

Exploring Astrophysics (85.85%)

Vikram Bhamre

Scalable inference; statistical, algorithmic, computational aspects (85.59%)

Cambridge University

Earthquake Science Center Seminars (85.57%)

U.S. Geological Survey

EAGE E-Lecture Series (85.57%)

Yury Petrachenko

Your Data Teacher Podcast (84.92%)

Your Data Teacher

Flush to Data (84.76%)

Kris Villez and Jörg Rieckermann

Statistics for the Social Sciences (84.61%)

Dr. Brad R. Fulton

Approximation, sampling and compression in data science (84.33%)

Cambridge University

An introduction to biological systematics - for iBooks (84.04%)

The Open University

Stage 2 (83.85%)

Danny Chang

Go Computer Science (83.77%)

Go Computer Science

MIS Grade 9 Haley MYP & IGCSE Math (83.76%)

Carl Haley

A Propensity to Talk Density (83.66%)

Bell Geospace

Fermilab Today Result of the Week (83.35%)

Fermilab Today Result of the Week

Eyes on Earth (83.3%)

USGS

Signal Integrity (83.08%)

Colin Warwick, Agilent EEsof EDA

Materials and Megabytes (83.02%)

Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut

Geospatial Concepts (82.93%)

mapscaping.com

Oil & Gas Measurement Podcast (82.93%)

Weldon Wright

A Word On Artificial Intelligence (A.I.) (82.85%)

Primedia Broadcasting

Statistical scalability (82.83%)

Cambridge University

Data Skeptic (82.77%)

Kyle Polich

DataCafé (82.65%)

Jason & Jeremy

Papers Read on AI (82.63%)

Rob

Sensitive Periods: A Flux Society Podcast (82.63%)

Flux Society

Inverse Problems (82.38%)

Cambridge University

IAH Groundwater's Podcast (82.37%)

IAH Groundwater

Model-Data Integration in Physical Systems (82.35%)

Cambridge University

Research Methodology (82.28%)

Firos Khan

Earth Observation (82.22%)

mapscaping.com

Long Now Boston (82.18%)

True Spectrum Media

learning methods (82.16%)

Marihely Martínez

GeocHemiSTea (82.06%)

Sam Scher

Quantitude (82.03%)

Greg Hancock & Patrick Curran

Measurement Science (82.0%)

Pertijs, M.A.P.

Planetary Robotics Vision Ground Processing (PRoVisG) (81.99%)

Konrad Willner, Heinrich Unbekannt, Robert Kaden

Maths Around You (81.93%)

Maths Podcasts

Scale Cast – A podcast about big data, distributed systems, and scalability (81.89%)

None

Within & Between (81.88%)

Within&Between Podcast

Drexel CoAS talks mp3 podcast (81.85%)

Jean-Claude Bradley

Department of Statistics (81.83%)

Oxford University

The Plunge (81.72%)

Mimi Ho, Mike Cianfrocco, and Liz Kellogg

The Machine Listening Podcast (81.69%)

Audio Analytic

The Analytical Wavelength (81.59%)

ACD/Labs

No Bias (81.57%)

No Bias

Media Data Formats - COMP6021 (81.56%)

Colin Manning

Deep Sky (81.54%)

Samuel Chandra

Profiling the Students of Today (81.46%)

KDMac

Sound and Data (81.43%)

Scot Gresham-Lancaster

Statistics (81.36%)

Susan Elizabeth Cooper-Nguyen

The AutoML Podcast (81.33%)

AutoML Media

nuctutor podcasts (81.28%)

nuctutor

SETI Institute Colloquium Series Videos (81.26%)

None

Data & Probability (81.18%)

None

Tensor Voices (81.11%)

Eliana Duarte and Thomas Kahle

Journal Club (81.08%)

Data Skeptic

Zambezi Observations (81.02%)

Zambezi Capital

ML & DS Papers On The Go (81.0%)

Andre Ye

Yannic Kilcher Videos (Audio Only) (81.0%)

Yannic Kilcher

PLN8 (80.98%)

Stamen Design

Satellite Superheroes (80.96%)

Scott MacKenzie

Counting Sand (80.94%)

Angelo Kastroulis

The Scene From Above Podcast (80.79%)

Alastair Graham and Andrew Cutts

DataBytes (80.72%)

Jessi & Susan

Darren Wilkinson's blog (80.69%)

None

Conversations at the Perimeter (80.69%)

Perimeter Institute

SpaceBytes Podcast (80.69%)

Chris Colvin

Learning Better and Faster (80.66%)

MLearning.ai

Math Analysis (80.65%)

None

The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information (80.63%)

Cambridge University

HolcombMath (80.61%)

Jeff Holcomb

The SonTek Sound Stream (80.6%)

SonTek - a Xylem Brand

Data Science Phil (80.57%)

Philipp Packmohr

Digital Signature Podcast (80.56%)

William Mongan

Learning Machines 101 (80.55%)

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

mapscaping.com (80.54%)

mapscaping.com

TDSlowdown (80.54%)

Henrik Sætra

Inverse Problems Network Meeting 2 (80.52%)

Cambridge University

Digital History & Digital Archaeology with Shawn Graham (80.51%)

Shawn Graham

KLING KLANG KLONG (80.49%)

Kling Klang Klong

There's So Much We Don't Know (80.42%)

Meghan Maureen and Nick Foy

the bioinformatics chat (80.42%)

Roman Cheplyaka

Data Science at Home (80.39%)

Francesco Gadaleta

Minds Behind Maps (80.38%)

Maxime Lenormand

Talking Machines (80.38%)

Talking Machines

Data Science Curation (80.38%)

Various Artists

Karry Romance (80.37%)

Karen Kity

Linear Digressions (80.34%)

Ben Jaffe and Katie Malone

Stanford MLSys Seminar (80.34%)

Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré

Concave Earth Sessions (80.32%)

DarksharkD

The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography (80.3%)

MapScaping

Humans, Data and Machines (80.28%)

None

Practical AI: Machine Learning, Data Science (80.26%)

Changelog Media