Blockchain NYC

Find a full list of our upcoming events at Crypto311

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/
For sponsorship opportunities, please go here:
https://scifn.com/sponsor/

Find a full list of our upcoming events at Crypto311

Our guest panelist, Kelly Ye, an industry veteran in both digital asset (Head of Research at Decentral Park Capital and Former Head of Product at Fidelity Digital Asset Management) and traditional finance (Former Head of Quantitative Investment at New York Life and Former Senior Fixed Income Strategist at Goldman Sachs) and will present her thoughts on the current state of digital asset and followed by a fireside chat and Q&A.

Opening remarks:
Jamiel Sheikh, CEO, Scifn, Blockchain NYC Founder

Moderator:
Bryant Law, Fixed Income Trader, MoA, Blockchain NYC Producer

Guest Panelist:
Kelly Ye, Head of Research, Decentral Park Capital

Schedule
6:15 PM - 6:45 PM: Door open; Guests Arrive & Networking
6:45 PM - 7:00 PM: Opening remarks and Panelists introduction
7:00 PM - 7:20 PM: Presentation by Kelly Ye: Current State of Digital Asset
7:20 PM - 7:50 PM: Fireside Chat hosted by Bryant Law & Q&A
7:50 PM - 8:20 PM: Networking

Guest Panelist- Kelly Ye’s Bio
Kelly Ye is the Head of Research at Decentral Park Capital, a thesis-driven liquid venture fund. She leads the research and investment efforts in liquid and early-stage digital asset opportunities, with a focus on data-driven fundamental research and deep-dive token analysis. Kelly publishes a widely read weekly research newsletter at https://decentralparkcapital.substack.com/s/the-weekly.

Kelly is also a Senior Advisor for ACM Macro, a macro hedge fund, and has held the positions of Head of Product at Fidelity Digital Asset Management and Head of Research at CoinDesk Indices.

Before embarking on her career in digital assets, Kelly accumulated more than 15 years of experience in traditional finance (TradFi). She has a long track record of leading investment and research teams in alternative investments, asset allocation, fixed income, and quantitative investing. Kelly currently serves on the board of CFA New York and co-chairs the Women in ETF Speakers' Bureau committee.

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

Find a full list of our upcoming events at Crypto311

Our guest panelist, Andra Nicolau, an industry veteran in digital assets (Head of Institutional Sales at Origin Protocol, Former Head of Growth at 1inch) will present yield-generating opportunities in DeFi, followed by a fireside chat and Q&A.

Opening remarks:
Jamiel Sheikh, CEO, Scifn, Blockchain NYC Founder

Moderator:
Bryant Law, Fixed Income Trader, MoA, Blockchain NYC Producer

Guest Panelist:
Andra Nicolau, Head of Institutional Sales, Origin Protocol

Schedule
6:15 PM - 6:45 PM: Door open; Guests Arrive & Networking
6:45 PM - 7:00 PM: Opening remarks and Panelist introduction
7:00 PM - 7:20 PM: Presentation by Andra Nicolau: DeFi Yield Strategies
7:20 PM - 7:50 PM: Fireside Chat hosted by Bryant Law & Q&A
7:50 PM - 8:20 PM: Networking

Guest Panelist- Andra Nicolau’s Bio
Andra is a crypto veteran with 6+ years of leadership experience across several crypto projects. She was most recently theHead of Growth at 1inchwhere she raised over $250M and helped the project become the second fastest-growing DeFi network. She has spent over 8 years in Silicon Valley and studied Economics at UC Berkeley. She is currently the Head of Institutional Sales at Origin Protocol where she focuses on Origin DeFi growth. Andra is also an active advisor to early-stage Web3 projects and investors.

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

Find a full list of our upcoming events at Crypto311

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, 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
*** Registration via EventBrite is required ***
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/
For sponsorship opportunities, please go here:
https://scifn.com/sponsor/