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What Is Machine Learning? (Explained in 5 Minutes)

Machine learning is one of the most exciting innovations in human history. It is a revolutionary technique that makes micro decision-making much more scalable than it used to be. In this video, we will try to provide a brief explanation that allows you to understand what is machine learning. Also, we will talk about the three types of traditional machine learning models: supervised, unsupervised, and reinforcement ML models. Finally, we will pay attention to deep learning and will compare it to traditional machine learning methods. This video is a bold attempt at explaining in 5 minutes a topic that merits tens of hours. This is not a comprehensive guide, but rather an introduction to the world of machine learning that aims to get you excited about the field.

👇🏻Timestamps👇🏻
0:00-0:25 Video intro
0:25-0:55 Machine learning and parenting
0:55-1:06 Machine learning is about problem solving
1:06-1:39 The more training data you have, the better the algorithm will perform
1:39-1:54 365 Data Science promo
1:54-2:01 Types of machine learning
2:01-2:22 Supervised learning
2:22-2:48 Unsupervised learning
2:48-3:00 Reinforcement learning
3:00-3:30 Fine tuning a model
3:30-4:12 Popular types of machine learning
4:13-5:00 Deep learning introduction
5:00-5:20 Deep learning use cases
5:20-5:46 How to choose between traditional ML and Deep Learning
5:47-6:16 Machine learning is a decision-making tool

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What Is Machine Learning? (Explained in 5 Minutes)

Machine learning is one of the most exciting innovations in human [...]

What Is Data Science? (Explained in 5 Minutes)

You want to learn what Data Science is? And you like brief [...]

You want to learn what Data Science is? And you like brief explanations? Then this is the perfect video for you! We will try to provide a dynamic overview of the data science profession along with some key aspects such as:

✔️ Type of data used:
✔️ Activities performed on the job
✔️ Time allocation
✔️ Key skills
✔️ And frequently used data science methods

We’ll focus on how data scientists create value for companies and will explain how data science relates to AI, Machine Learning, and Deep Learning.

👇🏻Timestamps👇🏻
0:00-0:23 Video intro
0:23-0:50 Why the data science notion is still confusing to people
0:50-1:09 Data science is an interdisciplinary field
1:09-1:35 Data science and AI
1:35-1:46 Data science, ML, Deep Learning
1:46-2:09 Channel promo
2:09-2:19 What you will see next
2:19-2:51 Types of data used
2:51-3:36 Activities performed by data scientists
3:36-3:54 Time allocation
3:54-4:06 Key skills needed by data scientists
4:06-4:24 Frequently used data science methods
4:24-5:21 How data scientists create value

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Data Strategy with Bernard Marr

We're proud to reveal our latest collaboration and announce the brand [...]

We're proud to reveal our latest collaboration and announce the brand new course in our program: Data Strategy with Bernard Marr! Sign up now: https://bit.ly/39BNYHG

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Bernard Marr is a world-renowned expert in strategy, business performance, digital transformation, and the intelligent use of data in business. He is the author of 18 best-selling books, a writer for Forbes, and an advisor and coach of a long list of the world’s most prestigious organizations. With more than 2 million social media followers, Bernard was ranked as one of the top 5 business influencers in the world by LinkedIn and the No 1 influencer in the UK.
In his course, Bernard provides context and helps you understand why data is one of the most important assets for any business today. He also talks about hundreds of ways companies have benefited from a well-structured data strategy in real life.

You will learn how to use data to:
➡️ Improve business decisions.
➡️ Understand your customers and markets
➡️ Provide more intelligent products and services
➡️ Improve your business processes.
➡️ Generate a meaningful revenue stream

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Python Jobs to Pursue in 2021

Interested in Python job opportunities? Python isn’t just popular for [...]

How to Become a Data Scientist in the UK (in 2021)

Do you want to become a data scientist in the UK? In this video, we [...]

How to Become a Data Scientist in the United States

The data scientist is among the most popular and highest-paid job [...]

The data scientist is among the most popular and highest-paid job positions in the United States for a fifth consecutive year, according to Glassdoor’s rankings. Impressive, isn’t it? In this video, we explore the data science job market in the USA and will aim to define several key aspects you need to take into account if you want to become a data scientist in the United States.

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We will give you some practical advice on job applications, including US visas necessary for foreign applicants, tips on popular job boards, as well as an overview of salary expectations, required education and skills, years of experience, top industries, locations with the highest number of job openings and much more. Enjoy watching!

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0:00 | Intro
1:28 | Visas for foreign applicants
2:40 | US job boards
3:09 | Salary expectations
3:59 | Data science education
4:50 | Top programming languages for data science
5:45 | Required skills
6:48 | Years of experience
7:12 | Top employment industries and most popular states
7:38 | Thanks for watching!

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Why Learn Python in 2021?

2021 is here and it’s time for new beginnings! Why not start with [...]

2021 is here and it’s time for new beginnings! Why not start with learning one of the most in-demand and fastest-growing programming languages? That’s right, we’re talking about Python and in this video, we will tell you why you should definitely put learning Python in your new year’s resolution list.

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If you have just started programming or are looking for a career change, you’ve probably heard about Python… or perhaps someone has recommended it to you as the best programming language to learn. We will give you a number of reasons why Python is becoming increasingly popular and you should consider giving it a try.

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Python is simple and syntax friendly, with extremely rich libraries and online documentation. It is free to use so everyone can contribute to the writing and maintenance of its code and libraries and be part of the Python enthusiasts' vibrant community. Moreover, Python has a variety of applications – it is just about everywhere nowadays! Watch the video to learn more.

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0:00 | Intro
0:22 | Why should you learn Python in 2021?
1:34 | Reason 1: Simple and syntax friendly
2:11 | Reason 2: Extremely rich libraries
2:50 | Reason 3: Extensive online documentation
3:29 | Reason 4: An awesome community
4:05 | Reason 5: Diverse applications
4:33 | How long does it take to learn Python?
5:42 | Thank you and subscribe for more!

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Notable Built in Functions in Python | Python Tutorial for Beginners

When you install Python on your computer, you are also installing some [...]

Creating Functions Containing a Few Arguments | Python Tutorial for Beginners

Are you ready for another super useful Python tutorial? In this one, [...]

Combining Conditional Statements and Functions | Python Tutorial for Beginners

In this tutorial, you’ll learn how to combine conditional statements [...]

Real-world application of the Central Limit Theorem (CLT)

In this video, we talk about the real-world application of one of the [...]

In this video, we talk about the real-world application of one of the most widely used theorems in data science: The Central Limit Theorem. It is the core of ‘hypothesis testing’ - an approach in statistics that lets you use data to evaluate your ideas. In fact, this theorem can be applied to a variety of real-life problems. We illustrate it with an interesting example of a business in the fish market area.

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The Central Limit Theorem is a theorem in probability theory, whose first version was proposed by the French mathematician Abraham de Moivre in 1733. Moivre published an article where he used a normal distribution to approximate the distribution of the number of heads resulting from many tosses of a fair coin. The finding was nearly forgotten until the French mathematician Pierre-Simon Laplace expanded it in his monumental work in the 19th century. Over the years, numerous versions of it have been discovered and proven by other mathematicians. Fascinating, right? Watch the video to learn more!

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Using a Function in Another Function | Python Tutorial for Beginners

Did you know that you can have a function in another function? That’s [...]

Another Way to Define a Function | Python Tutorial for Beginners

There is another way in which you could organize the definition of [...]

Data Science and Machine Vision with Bernard Marr | 365 Data Use Cases

In today’s episode of 365 Data Use Cases, our friend Bernard Marr will [...]

In today’s episode of 365 Data Use Cases, our friend Bernard Marr will share with you his passion about machine vision and real-time streaming data.

👉🏻Follow Bernard Marr's YouTube Channel:
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✅https://www.bernardmarr.com/
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✅https://www.linkedin.com/in/bernardmarr/

He talks about how a Norwegian salmon fishing company utilizes technologies like machine vision, streaming data and 5G to monitor fish in real time. They use machine vision to spot diseases and automate the feeding system in order to make sure the fish grow in the same proportions. Did you know that to achieve this, they use face recognition for salmon? Fascinating, isn't it? Watch the video to learn more!

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Creating a Function with a Parameter | Python Tutorial for Beginners

This tutorial will provide you with step-by-step guidance on how to [...]

Defining a Function in Python | Python Tutorial for Beginners

The best way of learning is by doing! In this tutorial you will learn [...]

Python Programmer Bootcamp

The Python Programmer Bootcamp will not only develop your programming [...]

The Python Programmer Bootcamp will not only develop your programming skills, but it will also give you a problem-solving superpower using Python code! In this course, you will develop a thorough understanding of Python, how to program in Python, and how to think computationally.

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The course instructor, Giles McMullen, is an Oxford University researcher with a background in medical physics, image analysis and data modelling with Python as well as a variety of other programming languages. Giles has created the course that he wishes he had when he started learning Python. In the Python Programmer Bootcamp, he will teach you how to create, achieve and problem solve with Python and help you master this life-changing programming language! The course includes video lessons, problems and worked solutions and downloadable materials which will equip you for the Python course of your life! Sign up now: http://bit.ly/2TkAB78

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Credit Risk Modeling in Python Course

Credit risk modeling is at the intersection of two very hot topics – [...]

Credit risk modeling is at the intersection of two very hot topics – data science and fintech. If you’re into data science and you’d like to differentiate yourself with a very rare, yet extremely valuable skillset, our Credit Risk Modeling Course offers the perfect training for you!

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In the course, we combine Python programming with credit risk modeling to show you how a model is created in a real-life working environment – step-by-step and exactly how it is performed in the industry! This course is the only comprehensive credit risk modeling course in Python available right now. It shows the complete credit risk modeling picture, from preprocessing, through probability of default (PD), loss given default (LGD) and exposure at default (EAD) modeling, and finally finishing off with calculating expected loss (EL).

The Credit Risk Modeling course will provide you with specialized industry knowledge and will help you break into the world of data science. Sign up now: https://bit.ly/3meq9tN

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Data Science and Predictive Vehicle Maintenance with Jen | 365 Data Use Cases

In this week's 365 Data Use Case episode, our friend Jen will tell us [...]

In this week's 365 Data Use Case episode, our friend Jen will tell us all about her favourite data use case - predictive vehicle maintenance!

👉🏻Follow Jen's YouTube Channel:
✅https://www.youtube.com/channel/UCwXJEwaFT5i3MKKMGdneYUA
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✅https://thecareerforce.com/
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A lot of people don't realize just how much current vehicles are driven by software and data. And not just electric or self-driving vehicles. The typical car on the road that's been made in the last 10 years has numerous lines of code behind the scenes that help power it, control its emissions and monitor the vehicle for safety, emissions and many other specifics. That’s quite intriguing, don’t you think?

For many years, both consumer and commercial vehicles have come equipped with some sort of telematic systems. These systems or vehicle-tracking devices allow us to read, store and communicate telemetry data. They capture information like location, speed, fuel consumption, and they also track all the sensors on the vehicle and their readings.
Watch the whole video to learn more!

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0:00 | Intro
0:39 | Vehicles driven by software and data
1:51 | Telematic systems
2:26 | Diagnostic tools
4:14 | Predictive maintenance
7:12 | Thanks for watching!

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How to Start a Career in Data Science Course

If you are looking to land a new data science job, you need to know [...]

If you are looking to land a new data science job, you need to know how to properly showcase your work and make a compelling case to the employers. And that’s exactly what the How to Start a Career in Data Science course will teach you!

👉🏻 Download Our Free Data Science Career Guide:✅https://bit.ly/330amaq

Your instructor will be Ken Jee, who is a manager of data scientists with broad interviewing experience in the field. He will teach you how to build a strong data science project portfolio which demonstrates your skills and knowledge to the fullest. Not only this, he will also share some invaluable data science resume writing and networking tips. Last but not least, Ken will walk you through the data science interview process – from the phone screen stage through the coding assessment all the way to the technical and behavioral interviews. The How to Start a Career in Data Science course will equip you with the tools and confidence needed to land the data science position of your dreams! Don’t waste time, sign up now: https://bit.ly/3kMm9PS

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Data Science and Employee Productivity with Nicki | 365 Data Use Cases

In this episode of 365 Data Use Cases, our friend Nicki from Empowered [...]

In this episode of 365 Data Use Cases, our friend Nicki from Empowered Analysts will tell you all about how data is used to measure and manage employee productivity. She explains how performance data in large-scale factories can be tracked and utilized in order to achieve maximum employee efficiency. Intriguing, right? Watch the whole video to learn more!

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0:00 | Intro
0:38 | Why do factories need employee performance data?
1:59 | Key measures for employee productivity
2:28 | Employee available hours utilization
3:14 | Employee efficiency
4:02 | Using the data to improve employee productivity
4:23 | Thanks for watching!

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Introduction to Business Analytics Course

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Do you want to understand what creates value at a company and the way corporations measure their performance? If the answer is yes, then the Introduction to Business Analytics course is the one for you!

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The instructor for this course is Randy Rosseel, who is a highly experienced professional with an inspiring career track record at the Coca Cola company. He will help you build a solid foundation by learning key concepts and business analytics approaches. You will be able to master a range of analytics techniques – from historical and variance analysis, through trend, value-based, correlation, regression and time-series, to machine and deep learning analysis. We are confident that this course will fulfill all your learning needs! Sign up for Introduction to Business Analytics now: https://bit.ly/3koI1R7

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How to Become a Research Analyst

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Hello everyone, and welcome to this 365 Data Science special where we will talk about yet another gateway into data science – a position that large enterprises simply can’t do without – the research analyst. In this video, we’ll learn who the research analyst is, what they do, how much they make, and what skills and degree you need to become one.

Download the Research Analyst Infographic: https://365datascience.com/wp-content/uploads/2020/12/Research-analyst-Infographic.pdf

The research analyst has a variety of different tasks such as defining and reviewing data for particular research topics, organizing the data collection process and reporting findings, as well as investigating certain topics ad-hoc to support the stakeholders’ decision-making process on a frequent basis. And that's just the gist of it! If this sounds like the job for you, watch the whole video to learn more about the role and what skills and academic background you need to become a research analyst.

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0:00 | Intro
0:43 | Who are the research analysts and how do they fit within companies?
2:05 | Typical responsibilities of the research analyst
2:49 | How much do research analysts make?
3:10 | Career path of the research analyst
3:43 | What are the key skills the research analyst needs to possess?
4:15 | What academic and career background is required for a research analyst?
5:00 | Research Analyst vs Data Scientist
5:29 | We've got you covered!

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Recommender Systems in the Medical Industry with Alex | 365 Data Use Cases

👉 Follow Alex's Youtube Channel: [...]

👉 Follow Alex's Youtube Channel:
✅https://www.youtube.com/channel/UC7cs8q-gJRlGwj4A8OmCmXg
👉 Find Alex on LinkedIn:
✅https://www.linkedin.com/in/alex-freberg/

Hi everyone and welcome to the next episode of 365 Data Use Cases! In this series of super informative videos, we explore the diverse areas where data is widely used nowadays. Let's be honest, every industry relies on data for insights and strategies. But you'll be amazed how fascinating some of these cases are!

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In this episode, our friend Alex the Analyst looks into the role of data in medical recommendation systems. These are nothing like the recommender models used by Google and Facebook which suggest products that you might want to buy. The recommendation system Alex will tell you about has the potential to save lives!

He talks about how collecting medical data from millions of patients and running it through complex calculations improves doctor’s recommendations. Amazing, isn’t it? Watch the whole video to learn more!

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Decomposition of Variability: Sum of Squares | Statistics Tutorial

In this tutorial, we will explore the determinants of a good [...]

The Differences Between Correlation and Regression | Statistics Tutorials

👉🏻 Download Our Free Data Science Career Guide:✅https://bit.ly/2Tx4RuK [...]

Data Science and Spend Data Classification with Susan | 365 Data Use Cases

👉 Follow Susan's Youtube Channel: [...]

👉 Follow Susan's Youtube Channel:
✅https://www.youtube.com/channel/UCfrWRbL-zeEZsHwjYhj3v_A
👉 Find Susan on LinkedIn:
✅https://www.linkedin.com/in/susanewalsh

Hi everyone and welcome to this week’s episode of 365 Data Use Cases! In this series of super informative videos, we explore the diverse areas where data is widely used nowadays. Let's be honest, every industry relies on data for insights and strategies. But you'll be amazed how fascinating some of these cases are!

👉🏻 Download Our Free Data Science Career Guide:✅https://bit.ly/2TquWvp
👉🏻 Sign up for Our Complete Data Science Training:✅https://bit.ly/2TuKNJi

In this episode, our friend Susan, a.k.a. the Classification Guru, will share with you her favourite data use case – Spend Data Classification!
As it turns out, big companies are often unaware of how much they spend on supplies and how their budget is distributed across different suppliers. This is where Susan comes to the rescue!
By standardizing a company’s spend data and classifying it using a taxonomy, she establishes the exact amount expended on each product. What‘s the benefit of that invaluable insight? Watch the whole video to find out!

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0:00 | Intro
0:21 | What is spend data classification?
1:03 | Normalizing and standardizing data
1:41 | Classifying data with taxonomy
2:36 | What is the benefit of data classification?
3:23 | Contact Susan for questions or more info

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How to Become a Chief Technology Officer (CTO)

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Did you know that Microsoft and the Federal Reserve Bank are on the lookout for new Chief Technology Officers? But what exactly does a CTO do and what skills and education are companies looking for? Don’t worry, we’ve got it all figured out! For this video, we have analyzed and reverse-engineered more than 100 job descriptions provided by employers to find out the key patterns and skills one needs for the role nowadays. We have mapped out the best industries, companies, locations as well as education, experience and required skills to consider if you have set your sight on the CTO role.

Download the CTO Infographic: https://365datascience.com/wp-content/uploads/2020/12/CTO-infographic.pdf

According to the data, the majority of the companies have listed Computer Science as the preferred educational background for CTOs. Other more prominent fields of concentration include Mathematics, EE, and Statistics. In terms of skills, employers are looking for programming languages, front-end technologies, popular technologies and tools, such as machine learning and git, domain knowledge, soft skills and communication skills.

The 365 Data Science program helps people of all backgrounds enter the field of data science, machine learning and data analytics – technologies which are increasingly desired by employers. Our comprehensive program is designed to make you stand out with in-demand technical skills, practical expertise, and career know-how so that you can land your dream job as a CTO! Get our special offer NOW: https://bit.ly/3ogLS5Q

0:00 | Intro
1:42 | Who is a CTO?
2:18 | What are the companies and industries with more openings?
3:12 | Which are the locations with a higher concentration of job offers?
4:00 | What education is expected for a CTO role?
5:17 | What is the ideal experience required for a CTO role?
5:40 | What are the skills and expertise a typical CTO should possess?
7:58 | You got this!

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Product Management for AI and Data Science Course

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Do you want to bring your product management and data science skills to the next level and be a part of the fast-developing industry of big data and AI? Just over the past 4 years, the adoption of AI by organisations has grown by 270% and now they are looking for YOUR potential to manage their products and systems.

We have the perfect course that will prepare you to become a leader in the AI and Data Science Product Management field! Join us on this exciting journey with Danielle Thé, a senior product manager with experience in working for world-renowned companies like Google and Deloitte! She will teach you how to understand, develop and implement data science products into the market and lead organizations into the big data and AI future. What are you waiting for? Sign up for the course now: 👉🏻https://bit.ly/2IYfV1U

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Data Science and Recommender Systems with Andrew | 365 Data Use Cases

👉🏻 Follow Andrew's YouTube Channels: [...]

👉🏻 Follow Andrew's YouTube Channels:
✅https://www.youtube.com/channel/UC23emuGbNM7twofQIrEgPBQ
✅https://www.youtube.com/channel/UCiSw05R_PCiguUc6ahs_b1w
👉🏻 Find Andrew on Twitter:
✅https://twitter.com/dataleaptech

Hi everyone and welcome to the next episode of 365 Data Use Cases! In this series of super informative videos, we explore the diverse areas where data is widely used nowadays. Let's be honest, every industry relies on data for insights and strategies. But you'll be amazed how fascinating some of these cases are! This one is no exception!

👉🏻 Download Our Free Data Science Career Guide:✅https://bit.ly/2FIg8Fc
👉🏻 Sign up for Our Complete Data Science Training:✅https://bit.ly/37kHsF3

In this episode, our friend Andrew from DataLeap will share his favourite data use case – Recommender Systems!
Have you ever thought about the content you see online and why you see it? Well, Andrew has, and he will tell you all about how data models and algorithms recommend content when you do a Google or a YouTube search. He shares that “YouTube has an idea of what videos it can recommend to you based on your behavior and what kind of user you are similar to, based on your demographic and other information you’ve willingly shared". Curious, right? Watch the full video to learn how data science and recommendation systems determine what content is the most relevant to you!

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We will continue the series with plenty more exciting data use cases like this one.
Stay tuned!

0:00 | Intro
0:46 | Why do FAANG companies use recommender systems
1:42 | The YouTube Algorithm
2:26 | The King Regent of Recommendations: Google
2:50 | Recommendation system architecture
3:01 | Stage 1: Candidate generation
3:26 | Stage 2: Scoring
4:38 | Stage 3: Re-ranking
4:56 | Cool tips and resources from Andrew

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#DataLeap #RecommenderSystems #365DataScience #365DataUseCases #DataScience….