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Download and Install Anaconda 3

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Catalit
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Overview
DifficultyBeginner
Duration37m
Students278

Description

In this Zero to Deep Learning course has been expertly created to provide you with a strong foundation in machine learning and deep learning. So whether you're just starting out with your practice of machine learning or you're a more experienced data scientist that is adding deep learning to the mix, this course will provide the necessary skills to serve as a solid foundation for you to continue learning after the course has been completed.

The course will start out covering simple data and structured data, then moving onto images, with sound, with text, and more complex data where deep learning comes to life. By the end of the course, you'll be able to recognize which problems can be solved with deep learning and organize data in a way that can be used by a neural network. Understanding and learning how to build a neural network model, including fully connected, convolutional, and recurrent neural network and train a model using cloud computing, all within this course.

This course is made up of 5 cohesive lectures that start off the journey into Data and Machine Learning with Cloud Academy.

 

Learning Objectives

  • Learn the key principles of data and machine learning
  • Come away with a strong foundation of the subject in order to develop new skills further
  • Understanding and learning how to build neural network models

Intended Audience

  • No prior knowledge of data and machine learning required

 

 

Transcript

Hello and welcome back. This video is about Anaconda Python. In this video you will learn what Anaconda Python is, where you can download it, and how you can install it on your system. Anaconda is a Python distribution. What that means is a collection of packages, supported by an organization that makes sure that they all work well with one another. In this case Anaconda is supported by a company called Continuum. And it's a very widespread Python distribution that is used by many data scientists and companies. So it's going to be the choice for the course and we are going to download it from this website which is anaconda.com/download. So go to that website and you'll scroll down to select the version of Anaconda that works for your system. If you are on a Windows computer, you will choose the version for Windows. If you are on a Linux computer you will choose the version for Linux. If you are on a Mac you choose the version for Mac. Make sure you download the version of Python 3.6 with the graphical installer. So click on graphical installer and save it on your system. You're also asked to register for their mailing list. 

In my case I will not do that because I've done it already but feel free to leave your email if you want to stay updated. Once you finish downloading open the installer and follow the instruction of the installer. Installer will guide you through installation so just hit continue when it's necessary. Agree on their license term and make sure that you're installing it only for yourself. Then hit continue and install. Okay the installer is finished so I just need to hit close. You can remove it to the trash and now I've installed successfully Anaconda on my system. So in this video you've learned what Anaconda Python is. We have downloaded it and installed it. If you've completed these steps you are ready to go to the next video so see you there.

About the Author

Students751
Courses8
Learning paths3

I am a Data Science consultant and trainer. With Catalit I help companies acquire skills and knowledge in data science and harness machine learning and deep learning to reach their goals. With Data Weekends I train people in machine learning, deep learning and big data analytics. I served as lead instructor in Data Science at General Assembly and The Data Incubator and I was Chief Data Officer and co-­founder at Spire, a Y-Combinator-­backed startup that invented the first consumer wearable device capable of continuously tracking respiration and activity. I earned a joint PhD in biophysics at University of Padua and Université de Paris VI and graduated from Singularity University summer program of 2011.