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Cheatsheet of Latex Code for Most Popular Machine Learning Equations
rockingdingo 2022-09-18 #GAN #VAE #KL-Divergence #Wasserstein #MahalanobisIn this blog, we will summarize the latex code for most popular machine learning equations, including multiple distance measures, generative models, etc. There are various distance measurements of different data distribution, including KL-Divergence, JS-Divergence, Wasserstein Distance(Optimal Transport), Maximum Mean Discrepancy(MMD) and so on. We will provide the latex code for machine learning models in the following sections. We will also provide latex code of Generative Adversarial Networks(GAN), Variational AutoEncoder(VAE), Diffusion Models(DDPM) for generative models in the second section.
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Online AI Courses for Kids-Use generative AI to Draw Paw Patrol Dog Skye
rockingdingo 2024-04-10 #AI Courses #K12 #Age 6-9 #Age 10-13 #AIGC #Text to Image #Paw PatrolHi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Skye" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!
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Online AI Courses for Kids-Use generative AI to Draw Paw Patrol Dog Chase
rockingdingo 2024-03-24 #AI Courses #K12 #Age 6-9 #Age 10-13 #AIGC #Text to Image #Paw PatrolHi parents and kids, this free online AI course "Use generative AI to Draw Paw Patrol Dog Chase" will gives your K12 kids a brief introduction to what is Artificial Intelligence (AI) technology, what can AI accomplish (such as AI Generated Contents converting text to image, Chatbots giving automatic response), and how does AI work in the easiest way that even K12 children can understand. This course covers some fundamental concepts of AI, including what neural networks is, what's the most popular neural network blocks of AI models (Transformers, Diffusion, etc.). Finally, kids can also participate by interacting with the AI during the course, by clicking the image or text with 'robot' icon or button, and get more detailed explanation, type a query or ask question using microphone by themselves, and accomplish the task of generating a picture of unique Paw Patrol Dogs and get the trophy. This course will takes around 20 minutes to complete. And all the interactive learning sessions in the course are designed by experienced children-education professionals. Let's get started!
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Introduction to Multimodal Generative Models-Model Architecture Key Features and Codes
rockingdingo 2024-02-24 #Multimodal Generative Models #AIGC #Large Language ModelIn this blog, we will give you a brief introduction of what are multimodal models and what can multimodal generative models accomplish. OpenAI just released their latest text-to-video multimodal generative model "SORA" in Feb, 2024 which becomes extremely popular. SORA can generate short videos of up to 1 minute's length. Before SORA, there are also many generative multi-modal models released by various companies, such as BLIP, BLIP2, FLAMINGO, FlaVA, etc. We will summarize a complete list of these time tested multi-modal generative models, introduce the model architures (text and image encoder), the training process, tasks, latex equation of loss functions, the Vision Language capabilities (such as text-to-image, text-to-video, text-to-audio, visual question answering), etc. Tag: Multimodal, AIGC, Large Language Model
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Introduction to CFA Level II Formula Sheet Equations and Latex Code-QUANTITATIVE and ECONOMICS
rockingdingo 2024-01-30 #CFA #CFA II #AI CoursesIn this blog, we will summarize the latex code for equations and formula sheet of CFA Level II exam, Formula Sheet Equations and Latex Code. Topics include QUANTITATIVE METHODS, such as LINEAR REGRESSION, MULTIPLE REGRESSION, TIME SERIES ANALYSIS, Machine Learning, ECONOMICS, Exchange rate, Covered interest rate parity, Uncovered interest rate parity, Relative purchasing power parity, Fisher and international Fisher effects, FX carry trade, Mundell-Fleming model, ECONOMIC GROWTH, Growth accounting equation, Labor productivity growth accounting equation, Classical growth model (Malthusian model), Neoclassical growth model (Solow’s model), Endogenous growth model, Convergence, ECONOMICS OF REGULATION. The data source of this blog is summarized from WILEY’S CFA PROGRAM LEVEL II quicksheet.
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Introduction to CFA Level I Formula Sheet Equations and Latex Code-QUANTITATIVE ECONOMICS and FINANCIAL REPORTING
rockingdingo 2024-01-30 #CFA #CFA I #AI CoursesIn this blog, we will summarize the latex code for equations of CFA Level I exam, Formula Sheet Equations and Latex Code, and provide Chatbot as AI Assistant to facilitate your reading. You can ask question like what is "Real GDP" in the chatbox. Topics in the blog include three major parts of CFA Level I exam: QUANTITATIVE, ECONOMICS and FINANCIAL REPORTING. Detailed topics include THE TIME VALUE OF MONEY, Future Value, Present Value, Effective Annual Rate, Continuous Compounding, Ordinary Annuity, Annuity Due, Perpetuity, STATISTICAL CONCEPT AND MARKET RETURNS, Fisher Skewness, Kurtosis, Two-asset portfolio, Three-asset portfolio, Microeconomics, Simple Interest, Effective Rate, Future Value of Ordinary Annuities, Annuities Due, Present Value of Ordinary Annuities, Allocative Efficiency Condition, Average Fixed Cost; Macroeconomics Investment, Aggregate Expenditure Without Government or Foreign Sectors, Marginal Propensity to Consume MPC, Marginal Propensity Save MPS, Sum of Marginal Propensity to Save and Marginal Propensity to Consume, Autonomous Spending Multiplier, Balanced Budget Multiplier, Banks Reserve Ratio, Nominal Interest Rate, Real GDP, Real Interest Rate, Tax Multiplier, Unemployment Rate. FINANCIAL REPORTING and ANALYSIS, Basic EPS, Diluted EPS, Balance Sheet, Free Cash Flow to the Firm, Cash Flow Performance Ratio, Cash Flow To Revenue Ratio, Cash Return On Assets, Cash Return On Assets, Cash Return On Equity, Activity Ratio, Inventory Turnover, Days of Inventory On Hand (DOH), Receivables Turnover, Days of Sales Outstanding, etc.
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Stock Analysis Chatbot to Generate Professional Charts of Financial Data
rockingdingo 2024-01-16 #stock analysis #financial charts #AIGCIn this blog, we will introduce how to use ChatGPT stock analysis chatbot to quickly generate professional charts of financial data. A few AI techniques such as RAG (Retrieval Augmented Generation), Text2SQL, and Larget Language Models (LLM) are used to help users find financial data, draw chart to compare key metrics, and adjust the color and shape of the chart using simple natural language prompts. A typical scenrio for professional financial analysts is to draw chart to compare the market capitalization, PE ratio of stocks from global market in converted currencies (US Dollars for example). This is a frequent scenario of daily workflow. The snapshots of AI generated charts is shown using DeepNLP Financial Assistant. You can try by clicking the button below the page, copy and paste the query in the chatbox and ask AI to generate charts or tables in few seconds, copy the charts to your reports or send to your manager. From the chart, we can see that on January 15th, Microsoft (MSFT) market cap reaches 2,887 Billon US dollars, and Apple (AAPL) reaches 2,874.68 Billion US dollars. Microsoft's market cap surpassed Apple and became the company of largest market capitalization in United States. The real-time stock data is from the web APIs, and converted to SQL using Text2SQL and LLM techniques.
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List of Quantum Physics Formulas Equations Latex Code
rockingdingo 2024-01-14 #physics #quantumIn this blog, we will introduce most popuplar formulas in Quantum Physics. We will also provide latex code of the equations. Topics of Quantum Physics include Black Body Radiation, The Compton Effect, Quantum Wave Functions, Operators in Quantum Physics, The Uncertainty Principle, The Schrödinger Equation, Parity, The Tunnel Effect, Harmonic Oscillator, Angular momentum, Spin, the Dirac Formalism, and so on.
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4 ways to use ChatGPT Stock Chatbot for stock analysis of Global Stock Markets NASDAQ NYSE LSE HKEX TSE NSE HANGHAI SHENZHEN
rockingdingo 2023-12-24 #Stock #ChatGPT #NASDAQ #NYSEIn this blog, we will introduce 4 ways to use ChatGPT powered chatbot to gain real-time information of global stock markets and accelerate your working productivity. The global financial stock market's realtime data is usually seperated across different websites globally, including NASDAQ, NYSE, London Stock Change(LSE), Hongkong Stock Exchange(HKEX), Tokyo stock Exchange(TSE), National Stock Exchange in India (NSE), SHANGHAI/SHENZHEN stock Exchange, etc. Use ChatGPT powered Chatbot can help query stock prices from diffent market, compare them in a single question in the natural languange manner. For example, you can ask Chatbot a question: "Stock price of Tesla, Shell and Alibaba" in a single question. You can gain also more information from there different global markets at the same time (NASDAQ, London Stock Exchange and Hongkong Stock Exchange, etc). Additionally, you can also ask more specific questions like financial data including PE ratio, Market Capitalization (Market Cap), High Price of a particular stocks. Comparing the financial data performance, such as stock price, market cap, pe ratio of multiple stocks are also a frequent way of using Chatbot. Also you can ask the chatbot to help you plot a table or chart to compare the stocks, which you can just copy and paste to your daily financial report.
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4 tips to use ChatGPT style Financial Chatbot to facilitate your daily financial work
rockingdingo 2023-12-04 #Financial Chatbot #Stock Price #ChatGPTIn this blog, we are introducing how you can use financial chatbot and AI-assistant writer to help you facilitate daily financial work, such as getting realtime stock price quote from global markets (US: NYSE,NASDAQ; China: HKEX, Shanghai,Shenzhen, etc.), consulting investment advice, consensus ratings and target price of stocks from analysts of multiple organizations (Schwab.com, MarketBeats, Zacks.com) and compare them, finding the meaning of complicated financial terms such as CPI, Put Option, Sharpe Ratio. You can also use ChatGPT to act as personally financial assistant, track your portfolio's stock names and show realtime changes. For content generation, you can use the AI-Writer assistant to facilitate writing reports, which integrates many APIs and other ChatGPT style Large Language Model to automatically generate text contents such as market research, financial reports of listed companies, etc.
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How to write a Financial Chatbot First Part 3 steps to crawl Hong Kong Stock Market (HKEX) realtime stock quotes
rockingdingo 2023-10-16 #financial #chatbot #stock quotesIn this blog, we will show you how simple it is to write a python spider to crawl realtime stock quotes from Hong Kong Stock Market (HKEX) official website. We will use the common python lib "requests" and "BeautifulSoup". And the complete code is also attached to this blog. We use Tencent(stock code: 700) as an example to show you how to to download the realtime stock price quote from HKEX's official website
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Latex Code for Microeconomics, Economics Formula and Equation
rockingdingo 2023-05-14 #Economics #MicroeconomicsIn this blog, we will summarize the latex code of most popular formulas and equations for Microeconomics, Economics. We will cover important topics, including Allocative Efficiency Condition, Annuities Due, Average Fixed Cost, Average Product, Average Revenue, Average Total Cost, Average Variable Cost ,Compound Interest, Cross-Price Elasticity of Demand, Effective Rate, Elasticity of Supply, Factor of Production Hiring Rule, Future Value of Ordinary Annuities Marginal Cost, Marginal Revenue Product, Present Value of Ordinary Annuities, Simple Interest ,Distributive Efficiency Condition, Gini Coefficient, Marginal Factor Cost MFC, Marginal Product of Labor, Marginal Revenue, Marginal Revenue Product of Labor MRPL, Optimal Combination of Resources Condition, Optimal Consumption Rule, Price Elasticity of Demand, Price for a Competitive Firm, Production Efficiency Condition, Profit, Profit-Maximizing Output Level, Slope of the Total Product Curve, Socially Optimal Level of Output, Total Costs, etc.
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List of Physics Optics Formulas, Equations Latex Code
rockingdingo 2023-03-26 #physics #opticsIn this blog, we will introduce most popuplar formulas in Optics, Physics. We will also provide latex code of the equations. Topics include Bending of light, Snell's law, Fermat's principle, Paraxial geometrical, Mirrors, Magnification, Matrix Methods, Reflection and Transmission, Fresnel Equations, Polarization of Optics, Prisms and Dispersion, Diffraction, Birefringence and Dichroism, Retarders: waveplates and compensators, Fabry-Perot interferometer, etc.
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List of Physics Oscillations Formulas, Equations Latex Code
rockingdingo 2023-03-26 #physics #oscillations #waveIn this blog, we will introduce most popuplar formulas in Oscillations, Physics. We will also provide latex code of the equations. Topics include harmonic oscillations, mechanic oscillations, electric oscillations, waves in long conductors, coupled conductors and transformers, pendulums, harmonic wave, etc.
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List of Complex Variables Formulas Latex Code
rockingdingo 2023-03-12 #Complex Variables #Conjugate #Power SeriesIn this blog, we will summarize the latex code for complex variables formulas, including complex numbers, De Moivreâ??s theorem and power series for complex variables e^{z}, sin(z), cos(z), ln(1+z), (1+z)^{n}, etc.
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Introduction to On Device Recommendation (Edge Recommendation)
rockingdingo 2022-12-02 #on device #edgerec #Taobao #Alipay #Meituan #KuaishouIn this blog, we will give you a brief introduction of most recent progress in On-Device Recommendation (Edge Recommendation) in real-world applications. Mobile AI systems and applications have been more popular due to increasing number of mobile devices and technology developments in deep learning based methods, e.g. model compression, distillation and so on. In recent years, on-device recommendations have enpowered many Mobile Apps to better respond to users' most real-time behaviors on mobile deivces, including clicks, scroll-donwns, likes, and many others. We will introduce three applications, including EdgeRec in Taobao, searchbar background words reranking in Alipay, search result reranking in Meituan-Dianping, short-video recommendation in KuaiShou, TfLite Implementation of Tensorflow, etc.
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Knowledge Graph Link Prediction Equations And Latex Code
rockingdingo 2022-10-23 #Knowledge Graph #Link Prediction #KGIn this blog, we will summarize the latex code of most fundamental and popular knowledge graph (KG) Equations, with special focus on the link prediction tasks. We will cover a wide range of models, including TransE, TransR, TransE, RotatE, SME(Linear), SimplE etc. Knowledge Graph consists of a set of triples [(h, r, t)]. h and t denotes the head node and tail node respectively. And r denotes multiple relation types. One common solution to the link prediction tasks is to learn low-dimensional embeddings of entities(E) and relations (R), and infer the missing part of [(?, r, t), (h, ?, t), (h, r, ?)].
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Few-Shot Learning And Zero-Shot Learning Equations Latex Code
rockingdingo 2022-10-23 #Few-Shot #Zero-Shot #MAML #ProtoNets #Bregman DivergencesIn this blog, we will summarize the latex code of most fundamental equations of Few-Shot Learning and Zero-Shot Learning. Few-Shot Learning learns from a few-labelled examples and better generalize to unseen examples. Typical works includes Prototypical Networks, Model-Agnostic Meta-Learning (MAML), etc.
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Cheatsheet of Latex Code for Multi-Task Learning Equations
rockingdingo 2022-07-11 #mtl #multi-task learning #mmoe #pleIn this blog, we will summarize the latex code of most fundamental equations of multi-task learning(MTL) and transfer learning(TL). Multi-Task Learning aims to optimize N related tasks simultaneously and achieve the overall trade-off between multiple tasks. Typical network structure include shared-bottom models, Cross-Stitch Network, Multi-Gate Mixture of Experts (MMoE), Progressive Layered Extraction (PLE), Entire Space Multi-Task Model (ESSM) models and etc. Different from multi-task learning. In the following sections, we will dicuss more details of MTL equations, which is useful for your quick reference.
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