Name: Holiday Mega Mixer
Start: 2023-12-08T00:00:00.000Z
End: 2023-12-08T04:59:00.000Z
Location: Sour Mouse

***Find a full list of our upcoming events at [Crypto311](https://crypto311.com)***

**\*\* No coding experience is required at all \*\***

In this course, we will use ChatGPT to generate fragments of Python code that can assist in automating tasks. You do not need to know a shred of coding to follow along in this course and learn.

We will use ChatGPT to generate Python code will allow us to do the following

* Scrape financial and put it into a spreadsheet
* Generating charts from data that you supply
* Performing statistical analysis

Again \*ZERO CODING EXPERIENCE IS REQUIRED\*, you will cut and paste code generated from ChatGPT and watch it work!

Please create a REPL account (free) here [https://repl.it](https://repl.it) \- This allows you to run Python without installing anything on your computer\.

*If you are interested in speaking, please go here:*
*[https://scifn.com/speaking-request/](https://scifn.com/speaking-request/)*
*For sponsorship opportunities, please go here:*
*[https://scifn.com/sponsor/](https://scifn.com/sponsor/)*

AI NYC

Jamiel Sheikh

Harding Leite

Level 4: Coding Techniques for Non-Coders

Online event

***Find a full list of our upcoming events at [Crypto311](https://crypto311.com)***

In our next installment of ChatGPT, we'll look how to use ChatGPT to do your homework (high school, undergrad or grad) and use it to effectively research for papers.

The use of ChatGPT is inescapable and should be embraced. Although platforms like TurnItIn detect plagiarism, ChatGPT and other tools make it harder and harder to detect it and will also use AI to counter gen AI content.

In this course we'll look at some of the ethics behind using ChatGPT, how to best use ChatGPT without crossing ethic limits and how to make your work truly unique and yours instead of the product of a machine.

*If you are interested in speaking, please go here:*
*[https://scifn.com/speaking-request/](https://scifn.com/speaking-request/)*
*For sponsorship opportunities, please go here:*
*[https://scifn.com/sponsor/](https://scifn.com/sponsor/)*

Alexander Gloy

Doug Taylor

Level 5: ChatGPT for Homework & Research Papers

***Find a full list of our upcoming events at [Crypto311](https://crypto311.com)***

A workshop of lectures on CBDC and interop. List of speakers coming soon.

*If you are interested in speaking, please go here:*
*[https://scifn.com/speaking-request/](https://scifn.com/speaking-request/)*
*For sponsorship opportunities, please go here:*
*[https://scifn.com/sponsor/](https://scifn.com/sponsor/)*

Blockchain NYC

Sunil Landge

Vernon Ong

Workshop: CBDC Interoperability

***Find a full list of our upcoming events at [Crypto311](https://crypto311.com)***

**Introduction to Deep Learning**
Join us for an exciting in-person event, "Introduction to Deep Learning," where you can dive into the fascinating world of artificial intelligence. Discover the power of deep learning algorithms and their impact on various industries, from healthcare to finance.
Hosted at **515 Madison Avenue 10th Floor, New York, NY 10022**, this event will take place on **Monday, December 4, 2023 at 09:00 AM (Eastern Standard Time)**. Immerse yourself in a dynamic environment filled with like-minded individuals, industry experts, and cutting-edge technologies.
During this engaging event, you'll gain a solid understanding of the fundamentals of deep learning and its practical applications. Our knowledgeable speakers will guide you through real-world examples and share their experiences in the field.
Whether you're a beginner or have some prior knowledge, this event is designed to cater to all levels of expertise. Don't miss out on this opportunity to expand your knowledge and explore the potential of deep learning.
Join us at "Introduction to Deep Learning" and unlock the secrets of this transformative technology. Reserve your spot now!
This is a 2-day course introduction to deep learning for business analysts, data scientists or developers. Prior Python experience not required but recommended.
A **digital certificate of completion** by [Scifn](https://scifn.com/), a leader in AI and blockchain education, will be provided via Accredible for those students that successfully complete this course.
A﻿ll students will get a hardcopy, bound book of all materials.
The course will cover the following topics in significant depth. No prior math knowledge beyond basic algebra is required.

* Core machine learning concepts - training, validation, algorithms, use cases
* N﻿eurons, neural nets, perceptrons, activations, weights, biases, classifiers
* S﻿calars, vectors, matrices, basic matrix math
* S﻿igmoid, Tanh, ReLu and Softmax functions
* G﻿radient descent theory
* F﻿eed forward and backpropogation
* P﻿yTorch fundamentals
* C﻿onvulution and Convolutional Neural Networks
* G﻿enerative models and creating art
* S﻿table diffusion
* Understanding large language models and how to build one
* U﻿sing tools like Hugging Face and LangChain

By the end of the course you will be able to build:

* An image classifier using Python alone
* An image classifier using PyTorch
* A﻿ ChatGPT-like LLM and chatbot
* Generative art

The goal of the course is to provide you with a deep and solid fundamental understanding of neural nets, how they work and understand key concepts. Once the concepts are clear, we will build deep learning models step-by-step.
The course will be taught by a professor with six years of experience teaching machine learning.
A﻿ laptop is required for those who wish to participate in the hands-on exercises

RSVP via EventBrite only: [https://www.eventbrite.com/e/introduction-to-deep-learning-tickets-688061880607?aff=oddtdtcreator](https://www.eventbrite.com/e/introduction-to-deep-learning-tickets-688061880607?aff=oddtdtcreator)

*If you are interested in speaking, please go here:*
*[https://scifn.com/speaking-request/](https://scifn.com/speaking-request/)*
*For sponsorship opportunities, please go here:*
*[https://scifn.com/sponsor/](https://scifn.com/sponsor/)*

Danielle Anciro

Rabab Naghavi

Introduction to Deep Learning

DuMont Building

You know the deal.... everyone will be here..

Charles Zivancev

ellen oppenheim

Holiday Mega Mixer

Sour Mouse

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