Big Data Profits: Top 5 Big Data Models You Must Learn in 2021
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Big Data Profits: Top 5 Big Data Models You Must Learn in 2021
Duration: 2h 58m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.4 GB
Genre: eLearning | Language: English
WANT TO TAKE YOUR MACHINE LEARNING EXPERTISE TO THE NEXT LEVEL? THEN...
LEARN ABOUT BIG DATA AND BECOME A MACHINE LEARNING EXPERT IN JUST 30 DAYS OR LESS!
BECAUSE BECOMING AN EXPERT IN MACHINE LEARNING SHOULD JUST BE SIMPLE - NO SHENANIGANS OR B.S. LESSONS!
Big data could add at least 6 Million jobs because a 10% increase in data accessibility will result in more than $65 Million in net income for a typical fortune 1000 company.
This is the reason many businesses are looking for experts to help them take advantage of this trend so that they can leverage their business.
This is the main reason they're looking for big data experts to help them get to their goals.
And because of this, a lot of opportunities are opening for aspiring machine learning experts or data scientists like you.
So, if you want to take advantage of this trend and make a career out of it, continue reading because I have something I want to share with you.
Why Should You Learn Big Data?
According to a survey done by some experts, data science will be the next big thing for many businesses.
It is expected that at least 1.3 Trillion U.S. dollars in revenue will be generated because of this industry.
The reason? Data science will solve a lot of business problems and needs, which will make their whole workflow more efficient. Additionally, Big Data plays a huge role in solving problems like these!
You Can Earn A LOT in Big Data!
If you are looking for a lucrative career where you can earn a lot, then becoming a big data expert is the thing for you!
A lot of companies will be looking for the best big data experts to help them in their business needs. .
After all, large corporations deal with numerous amounts of data every single day. And, with the help of an expert in big data, dealing with them can be faster and easier.
Where Should You Start?
I know this is your question...
You've always wondered what is the next step after learning the basics of machine learning and deep learning, right?
So, to answer this question...
The next step is to learn Big Data!
If you're unsure what this is, here's a simple explanation:
Large Chunks of information that businesses deal with on a daily basis.
In short, you will learn how you can help large businesses and corporations who deal with thousands to millions of data every single day.
This is important to businesses because understanding the information you can get from the chunks of data that they've gathered can help them optimize their workflow and improve their product or service.
So, if you want to become a data science expert, this skill is definitely important for you.
I get what you're saying. But, nowadays, I can get free information online!
If you're not aware, let me be the first to tell you this...
FREE INFORMATION ARE TRASH.
You can get little to no value from them.
You'll only get the tip of the iceberg.
Imagine this, if you are an expert in a certain industry who spent thousands of dollars to master your craft, would you give your knowledge for free?
Let's be honest, most people will say no to this.
After all, you've spent tons of money to get the information and knowledge you need.
But, if you master big data, the opportunities that will open to you will be tremendous.
The ONLY course you will ever need to take your machine learning to the HIGHEST level!
Who is this for?
Not everyone is cut out to be in this industry. We want to make sure you are passionate about learning regression models. This is why we only encourage you to buy if you are one of these:
STARTUP TECHNOPRENEURS who want to learn how to deal with numbers.
BUSINESS ANALYSTS who want to become better at making data-driven decisions.
ASPIRING OR VETERAN DATA SCIENTIST who are looking for ways to improve their skills without wasting so much time searching for answers on the internet.
If you're any of these, then this program is designed to help you learn as efficiently as possible.
Pre-requisite:
Basic Python programming experience.
Here's What You'll Learn Through Our Course:
Big Data - Introduction, Big Picture and its Applications
Hadoop Ecosystem
Spark - RDDs, Components and Limitations
Spark Streaming and Dataframes
How to do Feature Transformation using Spark MLlib
Build a Linear Regression models using Python and Spark
Build a Logistic Regression models using Python and Spark
Build a Tree Methods models using Python and Spark
Build a Recommendation System model using Python and Spark
Build a Clustering model using Python and Spark
Action steps after every module that is similar to real-life projects
Advanced lessons that are not included in most Big data courses out there
Apply your new-found knowledge through the Capstone project
Download Jupyter files that contain live codes, simulations and visualizations that experts use.
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