Original article was published by Pranjal Saxena on Artificial Intelligence on Medium
Resources to Begin Your Artificial Intelligence and Machine Learning Journey
Start Your Data Science Journey Now
Data is the new oil, and today we have a massive amount of data present. We need some better resources to learn about Artificial Intelligence and Machine Learning techniques and a better computational machine to train and evaluate our model to utilize the data better and use that model. And for a technology-related person, it is necessary to know about data science as in the future, most of the jobs will be on data science skills.
This article will share some better resources to learn data science and how we can start preparing for a data scientist. To start with the data science, first of all, we must select a programming language that will help us build our models for data science. And it is found that most of the data scientists use python for their data science projects because there are a massive community and resources available for python.
Python for Data Science
Before starting our data science journey, we must be familiar with python programming and its power. There is a book named Automate the Boring Stuff with Python; this is good for beginners. It uses a layman approach to make you an expert in python programming in less time.
Automate the Boring Stuff with Python– By Al Sweigart
Stats for Data Science
Stats play an essential role in data science. Every machine learning algorithms use the principle of stats. It helps in decision making in data science, which plays a significant role in getting better model accuracy. There is a book named The Elements of Statistical Learning that demonstrate stats ina better way.
The Elements of Statistical Learning– By Trevor Hastie (Author), Robert Tibshirani (Author), Jerome Friedman (Author)
Machine Learning for Data Science
Machine Learning is full of algorithms that help in dealing with different types of data. There is a book named Python Machine Learning that uses python with machine learning to demonstrate different machine learning algorithms.
Python Machine Learning– By Sebastian Raschka (Author), Vahid Mirjalili (Author)
Deep Learning for Data Science
Nowadays, we prefer using deep learning to deal with a large image, video, text, and audio data. It uses artificial neurons that tries to replicate the human brain structuring. Grokking Deep Learning is the best book I can suggest to understand the deep neural network better.
Grokking Deep Learning– By Andrew Trask (Author)
GPU & Machines For Data Science
We generally use TensorFlow for deep learning projects. And, TensorFlow uses Nvidia GPUs. It is recommended for a better deep learning experience to use at least Nvidia GTX 1050 Ti GPU. Some of the good laptops with Nvidia Graphics cards are Dell i7577–7425BLK-PUS Inspiron and Razer Blade 15 Gaming Laptop 2019. They both come with Nvidia GTX 1060 graphics card.
It is never too late to start your data science journey. It would help if you had the enthusiasm towards exploring new things. In this article, we have discussed some of the better resources to learn data science as a beginner, and we also discussed some of the better graphics cards enabled-machine to build deep learning models.
Keep enjoying data science!