ChatGPT crosses 1 million users in its first week- This Week in AI
This week in AI we have stories about ChatGPT taking the internet by storm and crossing 1 million users in its first week.
By
Peter Foy
Peter Foy
I'm a machine learning engineer, quantitative analyst, and quantum computing enthusiast with a background in SaaS and venture capital.
By
Peter Foy
Time Series with TensorFlow: Replicating the N-BEATS Algorithm
In this article, we'll expand on our previous time series forecasting models and replicate the N-BEATS algorithm, which is a state-of-the-art forecasting algorithm.
By
Peter Foy
What is ChatGPT? Key Concepts & Use Cases
In this guide, we'll review the chatbot everyone on the internet is talking about: ChatGPT. We'll discuss what ChatGPT is, its limitations, key concepts, use cases, and more.
By
Peter Foy
Large Language Models (LLMs) in Venture Capital - This Week in VC
This week in VC we have stories about how large language models and deep learning can be applied to venture capital.
By
Peter Foy
OpenAI Releases ChatGPT - This Week in AI
This week in AI we have stories about OpenAI's new ChatGPT model for dialogue and a new startup working on "copilot for lawyers".
By
Peter Foy
Firm + Personal Brand Essential for Data-Driven VC - This Week in VC
This week in VC we have stories about how a strong firm and personal brand for augmented, data-driven venture capital.
By
Peter Foy
Data-Driven Processes for Augmented Venture Capital - This Week in VC
This week in VC we have stories about data-driven processes for augmented venture capital & how to raise venture capital funding for your startup.
By
Peter Foy
Exploring the Environmental Impact of Artificial Intelligence - This Week in AI
This week in AI we have stories about measuring the true carbon footprint of artificial intelligence, GPT-4 rumours, and AI-based microdrones.
By
Peter Foy
Time Series with TensorFlow: Building a multivariate time series forecasting model
In this Time Series with TensorFlow article, we create a multivariate dataset, prepare it for modeling, and then create a simple dense model for forecasting.
By
Peter Foy
Machine Learning for Finance: Price Prediction with Linear Regression
In this project we'll look at linear regression for price prediction, specifically the relationship between historical data and future price prediction.
By
Peter Foy
Time Series with TensorFlow: Building an LSTM (RNN) for Forecasting
In this Time Series with TensorFlow article, we build a recurrent neural network (LSTM) model for forecasting Bitcoin price data.
By
Peter Foy
Genome Sequencing & Quantum Hardware - This Week in VC
This week in VC we have startup funding announcements about genome sequencing, quantum hardware, and more.
By
Peter Foy
IBM's New Quantum Computer & the Generative AI Gold Rush - This Week in AI
This week in AI we have stories about IBM's new quantum computer, the generative AI gold rush, and more.
By
Peter Foy
Time Series with TensorFlow: Building a Convolutional Neural Network (CNN) for Forecasting
In this Time Series with TensorFlow article, we build a Conv1D (CNN) model for forecasting Bitcoin price data.
By
Peter Foy
Guide to Deep Reinforcement Learning: Key Concepts & Use Cases
This guide is discuss the application of neural networks to reinforcement learning. Deep reinforcement learning is at the cutting edge of AI.
By
Peter Foy
Time Series with TensorFlow: Building dense models with larger windows & horizons
In this article, we build two dense models with larger window & horizon sizes.
By
Peter Foy
Time Series with TensorFlow: Building a dense model for Bitcoin price forecasting
In this article, we're going to create our first deep learning model for time series forecasting with Bitcoin price data.
By
Peter Foy
Time Series with TensorFlow: Formatting Data with Windows & Horizons
In this article, we format our time series data with windows and horizons in order to turn the task of forecasting into a supervised learning problem.
By
Peter Foy
Time Series with TensorFlow: Common Evaluation Metrics
In this article, we discuss several common evaluation metrics to evaluate our time series forecasting models.
By
Peter Foy
What are Convolutional Neural Networks? A Guide to CNNs
Convolutional neural networks (CNNs) are a sub-class of the deep learning family that's commonly applied to image data.
By
Peter Foy
Time Series with TensorFlow: Building a Naive Forecasting Model
In this article, we discuss the various modeling experiments we'll be running and then build a naive forecasting model for our Bitcoin price data.
By
Peter Foy
Time Series with TensorFlow: Downloading & Formatting Historical Bitcoin Data
In this article, we'll start a new time series with TensorFlow project by importing historical Bitcoin data, visualizing it, and preparing it for modeling.
By
Peter Foy
Solidity Programming: The Blockchain Messenger Project
In this article, we'll create a smart contract that is can store a string on the blockchain, is readable by everyone, and is writeable by the person that deployed the smart contract.
By
Peter Foy
Solidity Programming: Understanding Function Types and the Constructor
In this article, we discuss two different function types available in Solidity: view functions and pure functions. We'll also discuss a special type of function called the constructor.
By
Peter Foy
Solidity Programming: Strings, Bytes, and Address Types
In this article, we'll discuss a few more fundamental data types in Solidity programming: strings, bytes, and address types.
By
Peter Foy
Solidity Programming: Understanding Booleans and Integers
In this article, we'll review two fundamental data types in Solidity: booleans and integers.
By
Peter Foy
Solidity Programming: Reading and Writing Smart Contract Data
In this article, we're going to look at how to write data to the blockchain after a smart contract is deployed.
By
Peter Foy
Blockchain Programming: Creating Your First Smart Contract with Solidity
In this article we discuss how to create your first smart contract with Solidity with the Remix IDE. In particular, how to configure the compiler, deploy the smart contract, and interact with it in the browser.
By
Peter Foy
AI Researchers Release Open-Source Large Language Model - This Week in AI
Welcome to our This Week in AI roundup. This week we have stories about the release of an open-source large language model trained on 176 billion parameters, AI-generated image solutions, and more.
By
Peter Foy
Deep Reinforcement Learning for Trading: Deploying the Algorithm at Interactive Brokers
In this section we'll finish our initial deep reinforcement learning trading algorithm by deploying it at a simulated account at Interactive Brokers.
By
Peter Foy
Deep Reinforcement Learning for Trading: Using Gradient Ascent to Maximize Sharpe Ratio
In this section, the objective is to use reinforcement learning to maximize the Sharpe ratio using gradient ascent.
By
Peter Foy
Deep Reinforcement Learning for Trading: Building a CNN for Probability
In this section, we're going to add another deep learning model to our trading algorithm and build a convolutional neural network (CNN).
By
Peter Foy
Deep Reinforcement Learning for Trading: Building an LSTM for Price Prediction
In this guide we build an LSTM for price prediction in our deep reinforcement learning trading algorithm.
By
Peter Foy
Deep Reinforcement Learning for Trading: Imports, Inputs, & Helper Functions
In this section we'll start with the imports, model and trading logic inputs, and helper functions that we'll need for this deep reinforcement learning for trading project.
By
Peter Foy
Deep Reinforcement Learning for Trading: Project Overview
In this project we're going to build a deep reinforcement learning trading agent and deploy it in a simulated trading account at Interactive Brokers.
By
Peter Foy
Solana vs Ethereum: Comparing Each Layer 1 Blockchain
In this guide, we provide a detailed comparison of Solana vs Ethereum, including the tokenomics of each blockchain, developer activity, tradeoffs, and more.
By
Peter Foy
How to Build a Convolutional Neural Network in Python with Keras
In this article, we provide a step-by-step tutorial for building your first CNN in Python with Keras, which high-level neural network API written in Python.
By
Peter Foy
Applications of AI and Machine Learning in Venture Capital
In this guide, we look at several applications of AI and machine learning to guide the early-stage, venture capital investment process.
By
Peter Foy
Top 15 Cryptocurrency Stocks to Watch in 2021
In this article, we look at the top cryptocurrency stocks to watch, including crypto exchanges, GPU providers, fintech and software providers, and more.
By
Peter Foy
MLQ VC: Discover Recently-Funded Tech Startups
Introducing MLQ VC, the easiest way to discover and connect with recently-funded tech startups each week.
By
Peter Foy
AI in Advertising: Real-Time Bidding & Reinforcement Learning
In this guide, we discuss the application of reinforcement learning to real-time bidding for advertising.
By
Peter Foy
What is Hyperledger? Key Concepts and Use Cases
In this guide, we'll discuss what the Hyperledger project is, including the Hyperledger Fabric private blockchain and industrial applications of the project.
By
Peter Foy
Top 15 Quantum Computing Stocks to Watch in 2021
Quantum computers are beginning to transition from research labs to solving real-world problems. In this guide, we look at 15 quantum computing stocks to watch.
By
Peter Foy
What is Cryptoeconomics?
Cryptoeconomics refers to applied cryptography that takes economic incentives and economic theory into consideration. In this guide, we discuss how blockchains use cryptoeconomics to create rational incentives on the network.
By
Peter Foy
Blockchain Basics: Structure, Operations, and the Bitcoin Blockchain
In this guide, we introduce the fundamental concepts of blockchain technology including its structure, basic operations, and review the Bitcoin vs. Ethereum blockchain.
By
Peter Foy
Ethereum (ETH) On-Chain Analysis After EIP-1559 Upgrade
Ethereum received a major upgrade to the network today: EIP 1559. In this article, we review key Ethereum on-chain analysis metrics and signals.
By
Peter Foy
Python for Finance: Portfolio Optimization
In this guide, we discuss portfolio optimization with Python. Topics covered include the Sharpe ratio, portfolio allocation, and portfolio optimization.
By
Peter Foy
8 Companies Working on AI for Trading & Investing
In this article, we've put together a list of 8 companies are that are helping investors improve their research process with AI and machine learning.
By
Peter Foy
What is Machine Learning? Key Concepts & Use Cases
In this guide, we'll discuss exactly what machine learning means, a brief history of AI, a 7 step framework for machine learning projects, and more.
By
Peter Foy
What is Reinforcement Learning? A Complete Guide for Beginners
In this article, we take a scientific look at how we learn through trial and error with a computational approach called reinforcement learning.
By
Peter Foy