This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Good skills in computer programming languages like R, Python, Java, C++, etc. Good knowledge of various machine learning and deeplearning algorithms will be a bonus. Machine Learning and DeepLearning Understanding machine learning and deeplearning algorithms aren’t a must for data engineers.
It is needed to understand machine learning and deeplearning algorithms that are used along with NLP techniques. Ability to code in one of the popular programming languages like C/C++, Python, R, Java. Recommended Book: Calculus (2002) by Monty J. Strauss, Gerald L. Bradley, and Karl J.
It caters to various built-in Machine Learning APIs that allow machine learning engineers and data scientists to create predictive models. Along with all these, Apache spark caters to different APIs that are Python, Java, R, and Scala programmers can leverage in their program. It also supports visualization features.
Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Google Cloud Functions support only Node.js, while AWS Lambda functions support many languages, including Java, C, python, etc. Tensorflow: Tensorflow is an already renowned name in the machine learning community.
Amazon Web Services was launched in July 2002 from the existing Amazon cloud platform with the initial purpose of managing online retail transactions. With Amazon Polly, you can use advanced deeplearning technologies to carry out accurate conversions. Github link- Hybrid Recommendation System 21.
We organize all of the trending information in your field so you don't have to. Join 37,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content