- This Data Visualization is the First Step for Effective Feature Selection - Jun 8, 2021.
Understanding the most important features to use is crucial for developing a model that performs well. Knowing which features to consider requires experimentation, and proper visualization of your data can help clarify your initial selections. The scatter pairplot is a great place to start.
Data Visualization, Feature Selection, Statistics, Stocks
- Stock Market Forecasting Using Time Series Analysis - Jan 9, 2020.
Time series analysis will be the best tool for forecasting the trend or even future. The trend chart will provide adequate guidance for the investor. So let us understand this concept in great detail and use a machine learning technique to forecast stocks.
Analysis, Finance, Forecasting, Stocks, Time Series
- Top KDnuggets tweets, Aug 14-20: Researcher reproduced 130 research papers on “predicting the stock market”, coded them from scratch. - Aug 21, 2019.
Also: For data pros only - An SQL Query walks into a bar and sees two tables; Deep Learning for NLP: Creating a Chatbot with Keras!; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Wanting to be even more marketable as a data scientist? Check out these trends in the skills employers are looking for today
Overfitting, Stocks, Top tweets
- Optimization with Python: How to make the most amount of money with the least amount of risk? - Jun 26, 2019.
Learn how to apply Python data science libraries to develop a simple optimization problem based on a Nobel-prize winning economic theory for maximizing investment profits while minimizing risk.
Finance, Investment, Optimization, Python, Risk Modeling, Stocks
- Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices - Nov 21, 2018.
LSTMs are very powerful in sequence prediction problems because they’re able to store past information. This is important in our case because the previous price of a stock is crucial in predicting its future price.
Finance, Keras, LSTM, Neural Networks, Stocks
- How StockTwits Applies Social and Sentiment Data Science - Mar 9, 2018.
StockTwits is a social network for investors and traders, giving them a platform to share assertions and perceptions, analyses and predictions.
Sentiment Analysis, Social Media, Stocks, Stocktwits, Twitter
- TensorFlow for Short-Term Stocks Prediction - Dec 12, 2017.
In this post you will see an application of Convolutional Neural Networks to stock market prediction, using a combination of stock prices with sentiment analysis.
Convolutional Neural Networks, Finance, Python, Stocks, TensorFlow
- Data Scientist: The Hottest Job on Wall Street - Nov 8, 2017.
The demand for professionals that can build financial analytics programs is booming. We foresee two main objectives- to predict market movement for profit, and to protect customer assets of banks.
AI, Cybersecurity, Data Scientist, Finance, Fintech, Fraud Prevention, Stocks
- More than the Hype: Beyond Gartner’s Hype Cycle - Nov 3, 2017.
Gartner publishes hype cycles across different technologies and sectors. Here we conduct detailed analysis of Gartner’s Hype Cycles.
Gartner, Hype, Stocks
Top 10 Videos on Machine Learning in Finance - Sep 29, 2017.
Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!
Credit Risk, Finance, Investment Portfolio, Machine Learning, Python, R, Stocks, Tutorials, Videolectures, Youtube
- Sentiment Analysis & Predictive Analytics for trading. Avoid this systematic mistake - Jan 25, 2016.
The financial market is the ultimate testbed for predictive theories. With this post we want to highlight the common mistakes, observed in the world of predictive analytics, when computer scientists venture into the field of financial trading and quantitative finance.
Johan Bollen, Mistakes, Sentiment Analysis, Stocks
- Opentext Data Driven Digest, Sep 18: Money and Finance - Sep 23, 2015.
Pacific Stock Exchange in San Francisco was created 133 years ago this week to serve businesses that struck rich mining for gold during the California Gold Rush. Nowadays, businesses mine for data hoping to strike it rich, using visualizations like the ones below.
Data Visualization, OpenText, Stocks
- A 3D Analytic Framework for Visual Data Discovery - Nov 19, 2014.
A presented 3D Visual Analytic Framework enables Visual Data Discovery, and allows all discovery actions to performed inside 3D Unified Visual Data Representation Space.
3D, Data Visualization, Stocks
- Interview: Piero Ferrante, BCBS on Why Healthcare is Rich in Data but Poor in Information - Jul 17, 2014.
We discuss role of analytics in healthcare payer firms, major challenges in leveraging healthcare data, shift to value-based payments, personal motivation towards analytics, career advice and more.
Advice, Analytics, Challenges, Healthcare, Interview, Piero Ferrante, Stocks, Text Mining
- Large Investment Firm: Data Scientist / Statistician / Programmer - May 9, 2014.
Use both analytical and creative approaches to solve unstructured questions related to quantifying the risks and drivers of growth of publicly traded companies.
Hedge fund, New York-NY, Stocks
