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Predicting The FIFA World Cup 2022 using Python, DApps
In today's newsletter, we'll cover a range of topics. You will learn about Predicting The FIFA World Cup 2022 using Python, Choosing BI solution, Flutter, ML Algorithms cheat sheets, Python tips & tricks, DAM, Pandas Functions that Data Scientists Use, Hadoop vs SQL, DApps, and Big data Glossary. We hope you enjoy it!💟
Top 10 Things to Look for When Choosing an Embedded BI Solution? - Big Data Analytics News — bigdataanalyticsnews.com Choosing an embedded analytics vendor is a difficult task – there are many solutions on the market ranging in usefulness, capabilities, pricing, and more. So, how do you narrow your search?
6 Reasons Why Flutter is Better than Any other Cross-Platform SDK - Big Data Analytics News — bigdataanalyticsnews.com Flutter is an eccentric programming language for building cross-platform mobile apps for IOS and Android using the same codebase.
Machine Learning Algorithms Cheat Sheet — towardsdatascience.com The “no free lunch” theorem for machine learning states that there is no single machine learning algorithm that can solve all types of machine learning problems. Machine learning tasks can vary…
Python Tips & Tricks Some Python tips and tricks I've collected over the years
Top Technologies Used to Develop Mobile App - Niche Data Factory — nichedatafactory.com Most Popular Types of Mobile Apps The unavoidable issue which emerges when mobile application designers need to develop mobile applications
Digital Asset Management Trends In The Age of AI & ML - Big Data Analytics News — bigdataanalyticsnews.com There are few things more pivotal to modern business than digital asset management, and the influence of artificial intelligence and machine learning over this niche is growing by the year.
Hadoop vs SQL - Big Data Analytics News — bigdataanalyticsnews.com This description is intended to examine Hadoop and SQL, and distinguishes between the two by highlighting the Hadoop vs SQL differences.
14 Pandas Functions that Data Scientists Use (At Least) 60% of the Time — medium.com According to Forbes, data scientists spend 60% of their time on cleaning and organizing data. This shows how important data cleaning and data wrangling are in a data science project.
Big Data 101: Big Data Glossary and Big data terms you should know — bigdataanalyticsnews.com Here is the Big data glossary, Big Data terms and definitions that would serve as a guide for beginners. Any terms you think we should add? Let us know.
10 Best Decentralized Applications (DApps) in 2022 — geekflare.com DApps are trending among the crypto community members. Let’s take a look at the top DApps out there! Decentralized Applications (DApps) are digital
The Field of Data Science Continues to Change the World for the Better - Big Data Analytics News — bigdataanalyticsnews.com Data science began in the 1960s as a branch of computer science, but the term “data scientist” wasn’t coined until the late 2000s.
Meta researchers create AI that masters Diplomacy, tricking human players | Ars Technica — arstechnica.com Meta's Cicero can negotiate or persuade with natural language—just like a human.
Predicting The FIFA World Cup 2022 With a Simple Model using Python — towardsdatascience.com Many people (including me) call football “the unpredictable game” because a football match has different factors that can change the final score. It’s hard to predict the final score or the winner of…
FlagAI is a fast and extensible toolkit for large-scale general AI models. It supports trains, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality.
cheat.sh gives users access to the best community-driven cheat sheet repositories in the world. It features a simple curl/browser/editor interface and support for 56 languages and more than 1,000 of the most important Unix/Linux commands.
Llama is a terminal file manager. It allows for quick navigation with fuzzy searching. Llama is very simple and minimalistic.
Infisical is an end-to-end encrypted tool for managing and syncing environment variables across teams and infrastructure. It features a user-friendly dashboard, a language-agnostic command-line tool, support for multiple environments, integrations with CI/CD and production infrastructure, and more.
For a detailed list of books covering Big data Data Science, Machine Learning, AI and associated programming languages check out our big data books page.
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