Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory

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Romesh Ranganathan Pitches a Tearjerker with a Curse, a Meet Cute, and an Orangutan! 33:06

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Our guest this week is Romesh Rangathan! And his subgenre is… BRB Crying. Will Romesh deliver a beautiful and moving film pitch that makes Jimmy break down crying? Or will his idea be a fever dream of orangutans, ancient curses and having sex in front of animals? Listen in to find out! Listen on all podcast platforms and watch on the Netflix is a Joke YouTube Channel. The Big Pitch is a co-production by Netflix and BBC Studios Audio. Jimmy Carr is an award-winning stand-up comedian and writer, touring his brand-new show JIMMY CARR: LAUGHS FUNNY throughout the USA from May to November this year, as well as across the UK and Europe, before hitting Australia and New Zealand in early 2026. All info and tickets for the tour are available at JIMMYCARR.COM Production Coordinator: Becky Carewe-Jeffries Production Manager: Mabel Finnegan-Wright Editor: Stuart Reid Producer: Pete Strauss Executive Producer: Richard Morris Executive Producers for Netflix: Kathryn Huyghue, Erica Brady, and David Markowitz Set Design: Helen Coyston Studios: Tower Bridge Studios Make Up: Kit Hall Cameras: Daniel Spencer Sound: Charlie Emery Branding: Tim Lane Photography: James Hole Images supplied via Getty Images…

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This story was originally published on HackerNoon at: https://hackernoon.com/data-science-for-portfolio-optimization-markowitz-mean-variance-theory.
The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-science, #asset-management, #modern-portfolio-theory, #portfolio-optimization, #markowtiz-mean-variance, #what-is-the-markowitz-theory, #portfolio-theory, #investment-portfolio-tips, and more.
This story was written by: @kustarev. Learn more about this writer by checking @kustarev's about page, and for more stories, please visit hackernoon.com.
An investment portfolio comprises various assets such as stocks and bonds. Every investor starts with a fixed investment capital and decides how much to invest in each asset. Data science techniques such as the Markowitz mean-variance theory help determine the optimal share allocation to build the optimal portfolio. The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level. It analyzes different financial assets and considers their rate of return and risk factors, given their historical trends. The rate of return is an approximation of how much profit the asset will generate over a given time period. The risk factor is quantified using the standard deviation of the asset value. A higher deviation represents a volatile asset and, hence, higher risk. The return and risk values are calculated for various portfolio combinations and are represented on the efficient frontier curve. The curve helps investors determine the highest returns against their selected risk.

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Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory

Data Science Tech Brief By HackerNoon

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Data Science Tech Brief By HackerNoon

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1 year پیش5:42

5:42

This story was originally published on HackerNoon at: https://hackernoon.com/what-frontend-devs-want-from-backend-devs . Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-structure , #backend-developer , #typescript , #programming-advice , #api , #coding-teamwork , #how-to-have-clean-code , #figma , and more. This story was written by: @smileek . Learn more about this writer by checking @smileek's about page, and for more stories, please visit hackernoon.com . Backend developers can help frontend developers work with their API more efficiently and ship the product with as little friction as possible. Here are a few simple things that can decrease your time-to-market or improve other fancy metrics your managers want you to improve. I will tell it from the web developers’ point of view, but from what I remember, the same works for mobile development.…

Data Science Tech Brief By HackerNoon

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How to Build an AI Chatbot with Python and Gemini API 6:04

1 year پیش6:04

6:04

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-an-ai-chatbot-with-python-and-gemini-api . Learn how to create a web-based AI chatbot using Python and the Gemini API with this step-by-step beginner-friendly guide. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #python-programming , #ai-chatbot , #google-gemini , #google-ai , #gemini-api , #python-tutorials , #python-flask , #chatbot-development , and more. This story was written by: @proflead . Learn more about this writer by checking @proflead's about page, and for more stories, please visit hackernoon.com . This guide walks you through building a web-based AI chatbot using Python and the Gemini API. From setting up your environment to running your chatbot, you'll learn each step to create your own AI assistant.…

Data Science Tech Brief By HackerNoon

1
How to Set Up a Local DNS Server With Python 4:13

1 year پیش4:13

4:13

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-set-up-a-local-dns-server-with-python . DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #python-programming , #networking , #dns-server-guide , #how-to-set-up-dns-server , #how-to-creatw-html-files , #http-server-guide , #troubleshooting-dns-server , #python-and-dns-servers , and more. This story was written by: @hackerclukchp0j00003b6oy80p1nrw . Learn more about this writer by checking @hackerclukchp0j00003b6oy80p1nrw's about page, and for more stories, please visit hackernoon.com . DNS servers play a crucial role in translating human-friendly domain names into IP addresses that computers use to identify each other on the network. Setting up your own local DNS server can be beneficial for various reasons, including local development, internal network management, and educational purposes. We’ll create a simple HTTP server using Python’s built-in `http.server` module to serve the HTML files.…

Data Science Tech Brief By HackerNoon

1
The Collective Loves Data: How Big Data Is Shaping and Predicting Our Future 8:11

1 year پیش8:11

8:11

This story was originally published on HackerNoon at: https://hackernoon.com/the-collective-loves-data-how-big-data-is-shaping-and-predicting-our-future . Big data shapes our future! Explore how massive datasets are used to predict trends & make smarter decisions. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #big-data , #what-is-big-data , #examples-of-big-data , #digital-footprint , #machine-world , #big-data-storage , #big-data-processing , #what-to-know-about-big-data , and more. This story was written by: @manoj123 . Learn more about this writer by checking @manoj123's about page, and for more stories, please visit hackernoon.com . Big data surrounds us! From social media posts to sensor readings, vast amounts of information shape our world. This article by a Google engineer dives into what big data is (think massive, varied, and ever-growing data sets) and how it's analyzed to predict trends and make smarter decisions. Learn about real-world applications and exciting future possibilities like AI and quantum computing.…

Data Science Tech Brief By HackerNoon

1
Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB? 12:01

1 year پیش12:01

12:01

This story was originally published on HackerNoon at: https://hackernoon.com/apache-doris-for-log-and-time-series-data-analysis-in-netease-why-not-elasticsearch-and-influxdb . NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-engineering , #logging , #time-series-analysis , #time-series-database , #big-data-analytics , #elasticsearch , #database , #netease , and more. This story was written by: @frankzzz . Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com . NetEase has replaced Elasticsearch and InfluxDB with Apache Doris in its monitoring and time series data analysis platforms, respectively, achieving 11X query performance and saving 70% of resources.…

Data Science Tech Brief By HackerNoon

1
Unlocking the Power of Data Lakes for Embedded Analytics in Multi-Tenant SaaS 15:16

1 year پیش15:16

15:16

This story was originally published on HackerNoon at: https://hackernoon.com/unlocking-the-power-of-data-lakes-for-embedded-analytics-in-multi-tenant-saas . Discover why data lakes are superior to traditional data warehouses for embedded analytics in SaaS applications. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analytics , #embedded-analytics , #data-lake , #data-warehouse , #qrvey , #b2b-saas , #data-storage , #good-company , and more. This story was written by: @goqrvey . Learn more about this writer by checking @goqrvey's about page, and for more stories, please visit hackernoon.com . Analytics should extract maximum insight right? Well, to do that, you’ll need complete access to all relevant data. A data lake is a central storage for all kinds of data in its original, unstructured form. Data lakes are generally more cost-effective than data warehouses for embedded analytics use cases.…

Data Science Tech Brief By HackerNoon

1
The LinkedIn Nanotargeting Experiment that Broke All the Rules 10:50

1 year پیش10:50

10:50

This story was originally published on HackerNoon at: https://hackernoon.com/the-linkedin-nanotargeting-experiment-that-broke-all-the-rules . Discover how a groundbreaking nanotargeting experiment on LinkedIn defies audience size restrictions, unlocking new ad campaign strategies. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #nanotargeting , #online-advertising , #user-privacy , #user-data-security , #hyper-personalized-ads , #public-data-risks , #linkedin-advertising , #hackernoon-top-story , and more. This story was written by: @netizenship . Learn more about this writer by checking @netizenship's about page, and for more stories, please visit hackernoon.com . A study demonstrates the feasibility of nanotargeting on LinkedIn, bypassing audience size restrictions and achieving successful campaigns by employing JavaScript code to reactivate campaign launch buttons, employing various targeting strategies, and verifying success through campaign metrics and user interaction.…

Data Science Tech Brief By HackerNoon

1
Data Science Interview Question: Creating ROC & Precision Recall Curves From Scratch 8:59

1 year پیش8:59

8:59

This story was originally published on HackerNoon at: https://hackernoon.com/data-science-interview-question-creating-roc-and-precision-recall-curves-from-scratch . This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #data-science-interview , #precision-and-recall , #precision-recall-curves , #roc-data-science , #data-analysis , #data-science-job-questions , #hackernoon-top-story , and more. This story was written by: @varunnakra1 . Learn more about this writer by checking @varunnakra1's about page, and for more stories, please visit hackernoon.com . This is one of the popular data science interview questions which requires one to create the ROC and similar curves from scratch. For the purposes of this story, I will assume that readers are aware of the meaning and the calculations behind these metrics and what they represent and how are they interpreted. We start with importing the necessary libraries (we import math as well because that module is used in calculations)…

Data Science Tech Brief By HackerNoon

1
Why Should Companies Outsource Data Processing? 6:05

1 year پیش6:05

6:05

This story was originally published on HackerNoon at: https://hackernoon.com/why-should-companies-outsource-data-processing . Data processing outsourcing boosts efficiency, reduces costs, and enhances decision-making, helping businesses manage and leverage vast data effectively. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data , #data-processing , #data-outsourcing , #data-mangagement , #data-security , #data-cost-reduction , #data-efficiency , #data-science , and more. This story was written by: @rayanpotterr . Learn more about this writer by checking @rayanpotterr's about page, and for more stories, please visit hackernoon.com . Data processing is an essential business process and it consists of activities like order processing, form processing, compilation of mailing lists, and processing of different organizational and business information. Data processing outsourcing also offers a two-fold benefit i.e. low operational expenses and increased operational efficiency. It also helps in enhancing data quality, obtaining insights quicker to make well-informed and timely business decisions.…

Data Science Tech Brief By HackerNoon

1
The Role of Big Data in Developing New Medicines 6:30

1 year پیش6:30

6:30

This story was originally published on HackerNoon at: https://hackernoon.com/the-role-of-big-data-in-developing-new-medicines . Drug development is one of the most crucial — and time-consuming — processes in medicine. Here's how big data can help. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #big-data , #drug-discovery , #medicine , #drug-development , #artificial-intelligence , #healthcare , #pharmaceutical , #hackernoon-top-story , and more. This story was written by: @zacamos . Learn more about this writer by checking @zacamos's about page, and for more stories, please visit hackernoon.com . Developing a new medicine takes an average of 12 years, but big data can improve every stage of the process. It helps fuel AI drug discovery, identify underserved needs, streamline clinical trials, and monitor for potential issues.…

Data Science Tech Brief By HackerNoon

1
Building CI Pipeline with Databricks Asset Bundle and GitLab 10:59

1 year پیش10:59

10:59

This story was originally published on HackerNoon at: https://hackernoon.com/building-ci-pipeline-with-databricks-asset-bundle-and-gitlab . Databricks Asset Bundle streamlines the development of complex data, analytics, and ML projects for the Databricks platform. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #databricks , #gitlab , #devops , #mlops-platforms , #databricks-asset-bundles , #databricks-gui , #how-to-build-a-ci-pipeline , #hackernoon-top-story , and more. This story was written by: @neshom . Learn more about this writer by checking @neshom's about page, and for more stories, please visit hackernoon.com . In the previous blog, I showed you how to build a CI pipeline using Databricks CLI eXtensions and GitLab. In this post, I will show you how to achieve the same objective with the latest and recommended Databricks deployment framework, Databricks Asset Bundles.…

Data Science Tech Brief By HackerNoon

1
How I'm Building an AI for Analytics Service 7:12

1 year پیش7:12

7:12

This story was originally published on HackerNoon at: https://hackernoon.com/how-im-building-an-ai-for-analytics-service . In this article I want to share my experience with developing an AI service for a web analytics platform called Swetrix. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #ai , #analytics , #website-traffic , #software-architecture , #machine-learning , #predictive-analytics , #hackernoon-top-story , and more. This story was written by: @pro1code1hack . Learn more about this writer by checking @pro1code1hack's about page, and for more stories, please visit hackernoon.com . In this article I want to share my experience with developing an AI service for a web analytics platform, called Swetrix. My aim was to develop a machine learning model that would predict future website traffic based on the data displayed on the following screenshot. The end goal is to have a clear vision for the customer of what traffic will appear on their website in the future.…

Data Science Tech Brief By HackerNoon

1
Real-Time Anomaly Detection in Underwater Gliders: Experimental Evaluation 10:13

1 year پیش10:13

10:13

This story was originally published on HackerNoon at: https://hackernoon.com/real-time-anomaly-detection-in-underwater-gliders-experimental-evaluation . This paper presents a real-time anomaly detection algorithm to enhance underwater glider safety using datasets from actual deployments. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #machine-learning , #underwater-gliders , #anomaly-detection , #oceanography , #glider-navigation , #ocean-data , #marine-robotics , and more. This story was written by: @oceanography . Learn more about this writer by checking @oceanography's about page, and for more stories, please visit hackernoon.com . We apply the anomaly detection algorithm to four glider deployments across the coastal ocean of Florida and Georgia, USA. For evaluation, the anomaly detected by the algorithm is cross-validated by high-resolution glider DBD data and pilot notes. We simulate the online detection process on SBD and compare the result with that detected from DBD.…

Data Science Tech Brief By HackerNoon

1
Real-Time Anomaly Detection in Underwater Gliders: Abstract and Intro 7:22

1 year پیش7:22

7:22

This story was originally published on HackerNoon at: https://hackernoon.com/real-time-anomaly-detection-in-underwater-gliders-abstract-and-intro . This paper presents a real-time anomaly detection algorithm to enhance underwater glider safety, using datasets from actual deployments. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #machine-learning , #underwater-gliders , #anomaly-detection , #oceanography , #glider-navigation , #ocean-data , #marine-robotics , and more. This story was written by: @oceanography . Learn more about this writer by checking @oceanography's about page, and for more stories, please visit hackernoon.com . Underwater gliders are widely used in oceanography for a range of applications. However, unpredictable events like shark strikes or remora attachments can lead to abnormal glider behavior or even loss of the instrument. This paper employs an anomaly detection algorithm to assess operational conditions of underwater gliders in the real-world ocean environment. Prompt alerts are provided to glider pilots upon detecting any anomaly.…

Data Science Tech Brief By HackerNoon

1
The Power of Universal Semantic Layers: Insights from Cube Co-founder Artyom Keydunov 9:37

1 year پیش9:37

9:37

This story was originally published on HackerNoon at: https://hackernoon.com/the-power-of-universal-semantic-layers-insights-from-cube-co-founder-artyom-keydunov . What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for? Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #analytics , #business-intelligence , #data-modeling , #data-integration , #knowledge-graph , #universal-semantic-layer , #data-visualization , #data-warehouses , and more. This story was written by: @linked_do . Learn more about this writer by checking @linked_do's about page, and for more stories, please visit hackernoon.com . What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for?…

Data Science Tech Brief By HackerNoon

1
A Comprehensive Guide to Building DolphinScheduler 3.2.0 Production-Grade Cluster Deployment 9:04

1 year پیش9:04

9:04

This story was originally published on HackerNoon at: https://hackernoon.com/a-comprehensive-guide-to-building-dolphinscheduler-320-production-grade-cluster-deployment . In version 3.2.0, DolphinScheduler introduces a series of new features and improvements, significantly enhancing its stability. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #workflow-management , #opensource , #programming , #dolphinscheduler , #apache-dolphinscheduler , #big-data , #cluster-deployment , and more. This story was written by: @zhoujieguang . Learn more about this writer by checking @zhoujieguang's about page, and for more stories, please visit hackernoon.com . DolphinScheduler provides powerful workflow management and scheduling capabilities for data engineers by simplifying complex task dependencies. In version 3.2.0, DolphinScheduler introduces a series of new features and improvements, significantly enhancing its stability and availability in production environments.…

Data Science Tech Brief By HackerNoon

1
Why Monitoring a Distributed Database is More Complex Than You Might Expect 20:18

1 year پیش20:18

20:18

This story was originally published on HackerNoon at: https://hackernoon.com/why-monitoring-a-distributed-database-more-complex-than-you-might-expect . Why is monitoring a distributed database more complex than you might expect Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #distributed-databases , #opentelemetry , #monitor-distributed-databases , #apache-ignite , #monitoring-systems , #database-monitoring-challenges , #data-acquisition-models , #push-vs-pull-acquisition , and more. This story was written by: @ingvard . Learn more about this writer by checking @ingvard's about page, and for more stories, please visit hackernoon.com . In this article, we will dive into the complexities of monitoring distributed databases from the perspective of a monitoring system developer. I will try to cover the following topics: managing multiple nodes, network restrictions, and issues related to high throughput caused by a large number of metrics.…

Data Science Tech Brief By HackerNoon

1
Outlier Detection: What You Need to Know 2:43

1 year پیش2:43

2:43

This story was originally published on HackerNoon at: https://hackernoon.com/outlier-detection-what-you-need-to-know . Decisions are usually based on the sample mean, which is very sensitive to outliers and can dramatically change the value. So, it is crucial to manage outliers Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #outlier-detection , #statistics , #python3 , #variance-reducing , #what-is-outlier-detection , #bootstrap , #problem-formulation , #data-analysis , and more. This story was written by: @nataliaogneva . Learn more about this writer by checking @nataliaogneva's about page, and for more stories, please visit hackernoon.com . Analysts often encounter outliers in data during their work. Decisions are usually based on the sample mean, which is very sensitive to outliers. It is crucial to manage outliers to make the correct decision. Let's consider several simple and fast approaches for working with unusual values.…

Data Science Tech Brief By HackerNoon

1
Instrument Variables and AB Testing – Part 1 1:28

1 year پیش1:28

1:28

This story was originally published on HackerNoon at: https://hackernoon.com/instrument-variables-and-ab-testing-part-1 . This article explores the Mathematical details of least squares estimator in an unbiased and biased settings due to model specification errors. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #linear-regression , #ab-testing , #casual-analysis , #bias , #multicollinearity , #confounding , #instrument-variables , #instrument-variables-math , and more. This story was written by: @varunnakra1 . Learn more about this writer by checking @varunnakra1's about page, and for more stories, please visit hackernoon.com . This article explores the Mathematical details of least squares estimator in an unbiased and biased settings due to model specification errors.…

Data Science Tech Brief By HackerNoon

1
Using Arrow Flight SQL Protocol in Apache Doris 2.1 For Super Fast Data Transfer 8:00

1 year پیش8:00

8:00

This story was originally published on HackerNoon at: https://hackernoon.com/using-arrow-flight-sql-protocol-in-apache-doris-21-for-super-fast-data-transfer . Apache Doris 2.1 just got a major speed boost with Arrow Flight SQL for up to 10x faster data transfers. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #database , #data-engineering , #pandas , #python , #apache-arrow , #big-data , #data , and more. This story was written by: @frankzzz . Learn more about this writer by checking @frankzzz's about page, and for more stories, please visit hackernoon.com . Apache Doris 2.1 supports Arrow Flight SQL protocol for reading data from Doris. It delivers tens-fold speedups compared to PyMySQL and Pandas.…

Data Science Tech Brief By HackerNoon

1
Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory 5:47

1 year پیش5:47

5:47

This story was originally published on HackerNoon at: https://hackernoon.com/data-science-for-portfolio-optimization-markowitz-mean-variance-theory . The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #asset-management , #modern-portfolio-theory , #portfolio-optimization , #markowtiz-mean-variance , #what-is-the-markowitz-theory , #portfolio-theory , #investment-portfolio-tips , and more. This story was written by: @kustarev . Learn more about this writer by checking @kustarev's about page, and for more stories, please visit hackernoon.com . An investment portfolio comprises various assets such as stocks and bonds. Every investor starts with a fixed investment capital and decides how much to invest in each asset. Data science techniques such as the Markowitz mean-variance theory help determine the optimal share allocation to build the optimal portfolio. The theory formulates a mathematical model to optimize the asset allocations to gain the maximum return for a given risk-level. It analyzes different financial assets and considers their rate of return and risk factors, given their historical trends. The rate of return is an approximation of how much profit the asset will generate over a given time period. The risk factor is quantified using the standard deviation of the asset value. A higher deviation represents a volatile asset and, hence, higher risk. The return and risk values are calculated for various portfolio combinations and are represented on the efficient frontier curve. The curve helps investors determine the highest returns against their selected risk.…

Data Science Tech Brief By HackerNoon

1
10 Best Datasets for Time Series Analysis 8:23

1 year پیش8:23

8:23

This story was originally published on HackerNoon at: https://hackernoon.com/10-best-datasets-for-time-series-analysis . In order to understand how a certain metric varies over time and to predict future values, we will look at the 10 Best Datasets for Time Series Analysis. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #datasets , #ai , #data-science , #data-analysis , #data-analytics , #data-visualization , #hackernoon-datasets , #machine-learning , and more. This story was written by: @datasets . Learn more about this writer by checking @datasets's about page, and for more stories, please visit hackernoon.com . Time series data is essentially a collection of data points organized in time. Time is frequently the independent variable, and the purpose is usually to forecast the future in time series. In this article, we will look at the *10 Best Datasets for Time Series Analysis,* in order to understand how a certain metric varies over time.…

Data Science Tech Brief By HackerNoon

1
Understanding Scaling Law through Data Science Lenses 14:29

1 year پیش14:29

14:29

This story was originally published on HackerNoon at: https://hackernoon.com/understanding-scaling-law-through-data-science-lenses . Despite the immense promise of LMs, initial endeavors to apply pre-trained LMs to downstream tasks have encountered significant challenges. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #scaling-law , #artificial-intelligence , #tokenizing-raw-text , #discrete-tokens , #embedding-vector , #token-embeddings , #power-laws , and more. This story was written by: @tianchengxu . Learn more about this writer by checking @tianchengxu's about page, and for more stories, please visit hackernoon.com . Despite the immense promise of LMs as task-neutral foundation models, initial endeavors to apply pre-trained LMs to downstream tasks encountered significant challenges.…

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Data Science for Portfolio Optimization: Markowitz Mean-Variance Theory