Data Science and Artificial Intelligence is revolutionizing the Sports Industry

Data science is a principle of machine learning that uses several tools and algorithms to find patterns from raw data. This has become quite a buzz in the tech world and almost every industry uses it to leverage its business, even sports. Surprised? Around 2.7 zettabytes of data are produced digitally which can be analyzed to make competitive strategies.

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The Making of AI Snake Oil

Medicine Bottles

“I felt completely trapped, a prisoner in my own body.” These are the words of Joe Morris, a filmmaker from London. After a sore spot on his tongue would not heal, Joe decided to see a doctor. He was 31 years old and a non-smoker. It was supposed to be nothing, but the MRI showed a tumour that would need to be carved out and removed, taking along with it Joe’s ability to speak.

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Learn Data Science in 2021: Books, Blogs, YouTube channels & more

As a curious person and practitioner in the field of AI, ML, and Data Science, I never stop my research, and I see myriads of blogs everyday. So, I decided to gather the most insightful and valuable stuff (as I see it) in one place to help others in their growth. You will not find mainstream stuff here or something everyone already knows. Here are my top picks of fresh material and content you can read, watch, or listen to. So let’s start our adventure!

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The Machine Learning soccer pundit

Recently, in December, the 2020 season of Major League Soccer ended after a tough year. Although I have a distant relationship with the sport nowadays, the subject ends up being very natural to me as a Brazilian. Since I returned to live in the USA, I started to be interested in the soccer growth in the country, seeing great potential as a sport and as a business. Reading about the finals, I realized that I know little about the players and decided to explore a little, to learn more about the league, its teams, fans, and players.

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Dremio raises $135 million to help companies rapidly analyze data

Dremio, a startup offering tools to help streamline and curate data, today announced that it raised $135 million in series D funding at a post-money valuation of $1 billion. The company says it’ll use the funds, which come nine months after a $70 million round, to invest in cloud data lake technologies that could benefit businesses looking to connect, analyze, and process data while accelerating database queries.

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Mythbusting the analytics journey

This isn’t your typical recruiting story. I wasn’t actively looking for a new job and Netflix was the only place I applied. I didn’t know anyone who worked there and just submitted my resume through the Jobs page 🤷🏼‍♀️ . I wasn’t even entirely sure what the right role fit would be and originally applied for a different position, before being redirected to the Analytics Engineer role. So if you find yourself in a similar situation, don’t be discouraged!

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SingleStore raises $80 million to accelerate data analytics with relational databases

Relational database startup SingleStore (previously MemSQL) closed an $80 million funding round today, bringing its total raised to $238 million. The San Francisco-based company plans to use the funds to increase its market presence; expand its engineering team in Portugal, Ukraine, and the U.S.; and grow its customer base internationally.

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ActivTrak raises $50 million to measure remote workers’ productivity

ActivTrak, an Austin, Texas-based cloud productivity monitoring software provider, today raised $50 million in a series B round from Sapphire Ventures. The fresh capital will be used to scale ActivTrak’s go-to-market activities across sales, marketing, and channels and expand the company’s capabilities using AI-driven analytics, according to CEO Rita Selvaggi.

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Algorithmia announces Insights for ML model performance monitoring

Seattle-based Algorithmia has announced Insights, a solution for monitoring the performance of machine learning models. Algorithmia specialises in artificial intelligence operations and management. The company is backed by Google LLC and focuses on simplifying AI projects for enterprises just getting started. Diego Oppenheimer, CEO of Algorithmia, says: “Organisations have specific needs when it comes to…

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How to create an authentic Data Science Project for your Portfolio

As an inspiring data scientist, building interesting portfolio projects is key to showcase your skills. When I learned coding and data science as a business student through online courses, I disliked that datasets were made up of fake data or were solved before like Boston House Prices or the Titanic dataset on Kaggle.

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Key aspects of Machine Learning operations, explained

Machine Learning Operations

Until 2015, even professional programmers didn’t consider machine learning has real potential and benefits. However, with innovation the development of AI and computing capabilities build-up, autonomous MLOps platforms began to develop rapidly and became an integral part of computer systems development.

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