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Python for Data Science

Deep Machine Learning Algorithms in Python and Artificial Intelligence. Crash Course to Measure Value of Big Data and Analyzes What Matters to Live by Computer Programming

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Python for Data Science

De: Mik Arduino
Narrado por: Connor Curlewis
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If you are tired of reading without understanding and want to learn the value of big data and artificial intelligence simply and quickly, then keep listening...

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

Artificial intelligence has made great strides over the years, and by 2024, it is estimated that 77 percent of programmers will have to be experts in this field to implement it in the various programming languages.So, if you are such a programmer or aspirant and ignore the importance that Python data analysis and artificial intelligence have in our future, then you will be cut off from the business world.

The solution?

You need to learn these things and, above all, do it in a clear, simple, and practical way. The goal of Python for Data Science is to give you an advanced level training on Python, artificial intelligence, and deep machine learning as quickly as possible.

Here are some chapters you will find in this audiobook:

  • Artificial Intelligence: How Does It Work? How Is It Used?
  • The Key Elements of Machine Learning
  • Machine Learning vs. Deep Learning
  • Data Science vs. Business Intelligence
  • The Data Science Lifecycle
  • How to Measure the Value of Big Data
  • Cleaning and Organizing Your Data
  • Python Data Analysis 360°
  • Different Machine Learning Algorithms
  • How to Handle Data Visualizations

Python for Data Science is perfect for those who already look to the future and want to ensure a job for the next 20 years by beating the competition, even if you know nothing about computer codes and have never turned on a computer in your life.

Would you like to know more? Scroll to the top of the page and hit the "buy now" button.

©2019 Mik Arduino (P)2020 Mik Arduino
Ciencia de Datos Informática Programación Aprendizaje automático Inteligencia artificial Artificial Intelligence
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Lo que los oyentes dicen sobre Python for Data Science

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I completely satisfied with this audio book

I really want to Python Learning that was a perfect audio book for me. I listen this audio book all of the instruction and following step by step guideline it's help me developing my skill.

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Nice book!!

For the Introduction to Machine learning, I took this course and this is quite helpful. Recommend you check this out in case you want to learn practical examples.

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Exactly what you need to get started.

For Python beginners and people who face difficulty in learning a new topic, this audio book will aid you to huge extent. For those who like practicing , there are easy and helpful examples provided, which can be practiced with ease.

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Exactly what you need to get started.

This audio book was exactly what I needed to get started with Python. It was simple and to the point, and explained everything I needed to know about learning python.

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A great informative audible for us!

This audio book are really very amazing to listen, which is very informative about Python Data Science. I'm very gratitude to have this audio book.

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Special guide for beginner.

This is likely the best audio book for programming. The most amazing thing about learning how to program in Python. I was searching for and I think that its better.

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This audible inspires me to continue.

This audio book gets straight to the main core of programming with Python. It does this by focusing on the most common commands and ideas of Python.

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Good guide.

This book I learn Python for Data Science adequately.This book is amazing and really highlights easy practical ways to use our understanding of how our brains process information, and how and where we focus to draw an audience to particular data.

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Great tools and easy to apply.

I was listening for an audiobook that could help me to learn python. I gave this audiobook a try and I realized that the data analysis that I learned from this audiobook is pretty good from a pandas viewpoint (mostly).

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This audio book is a treasure!

This is the audiobook you want. This is every bit as detailed as I hoped it would be with a great introduction, great examples, and great coverage of fundamental, basic, and advanced functionality.

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