PodParley PodParley
PodParley
THE TOP GUYS AIN'T USING TECHNICAL ANALYSIS BRO - DataSets

EPISODE · Jan 27, 2026 · 17 MIN

THE TOP GUYS AIN'T USING TECHNICAL ANALYSIS BRO - DataSets

from Datasets · host Visionary

Join the revolution. Follow the podcast to elevate yourselves with DataSets.Listen on Spotify here: ⁠https://open.spotify.com/show/4TPpyiI1rqmbBOkORjH2N0⁠Turn on the notifications.🍵 UNLOCK ⁠14 BIOHACKING POTIONS⁠👽 ⁠(FREE) The Scientific Method Dashboard⁠METHODOLOGY TO FILTER TRUTH FROM THE LIES.🧪 ⁠Unlock Free Mastery Checklist⁠✦ ⁠FREE (MONTHLY) REVENUE & PROFITS DASHBOARD⁠!We're glad to have you join this community! Let's Glitch Through The Matrix Together 🛸Note: We're a Community sharing educational content and learning from Data Sets! No copyright infringement is intended for any party involved. ----- ------- Keywords: crypto trading, money mindset, economic freedom, blockchain technology, retirement planning, ethereum investing Learn more about your ad choices. Visit megaphone.fm/adchoices

NOW PLAYING

THE TOP GUYS AIN'T USING TECHNICAL ANALYSIS BRO - DataSets

0:00 17:18

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

Digital Culture of Metropolitan New York: Kaitlin Thaney

May 4, 2026 ·23m

Digital Culture of Metropolitan New York: Tara Hart

May 1, 2026 ·21m

Digital Culture of Metropolitan New York: Rob Christiansen

Apr 30, 2026 ·20m

Digital Culture of Metropolitan New York: Henry Felix Raine

Apr 29, 2026 ·18m

The Case for Standardizing the Way We Report Climate and Environmental Data

Apr 20, 2026 ·35m

Brett Loper on Using Data Tools to Prevent Improper Payments

Apr 1, 2026 ·33m

Similar Podcasts

LLM in Python: Comprehensive Guide to Building and Deploying Large Language Models Anand V Explaining LLMs, their evolution, and applications in different industries. The book then dives into data preparation and management, including techniques for collecting, cleaning, and storing large datasets. It then guides the reader through building the model, focusing on model architecture design, training techniques, and hyperparameter tuning. After that, the book examines model evaluation and fine-tuning techniques, including common issues and debugging strategies. Generative AI for everyone PODCAST altafr Dive into the fascinating world of Generative AI, the cutting-edge technology revolutionizing how machines create content. In this chapter, we’ll explore the core principles behind AI systems that can generate text, images, audio, and more. From understanding the basics of machine learning and neural networks to examining popular models like GPT and DALL-E, we’ll unpack how these AI marvels learn patterns from vast datasets to produce novel outputs. Whether you’re a curious professional or a business leader, this episode will equip you with essential knowledge about the transformative potential of Generative AI across industries. Gnarly Data Waves by Dremio Dremio (The Open Data Lakehouse Platform) Gnarly Data Waves is a weekly show about the world of Data Analytics and Data Architecture. Learn about the technologies giving the company access to cutting-edge insights. If you work datasets, data warehouses, data lakes or data lakehouses, this show it for you!Join us for our live recordings to participate in the Q&A:dremio.com/eventsSubscribe to the Dremio youtube channel on:youtube.com/dremioTake the Dremio Platform for a free test-drive:https://www.dremio.com/test-drive/ Engelberg Center Live! Engelberg Center on Innovation Law & Policy This season of Engelberg Center Live! contains audio from Engelberg Center events.Previous seasons of Engelberg Center Live! included a history of ebooks from Library Futures, a deep dive into the datasets used to train AI with Knowing Machines, an oral history of the unionization effort at Kickstarter, and (of course) audio from a range of Engelberg Center events. To learn more about the Engelberg Center, please visit https://www.nyuengelberg.org/
URL copied to clipboard!