ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Good knowledge of various machine learning and deep learning algorithms will be a bonus. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

OCTOBER 6, 2021

It is needed to understand machine learning and deep learning 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.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

Knowledge Hut

MAY 23, 2024

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.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

SEPTEMBER 6, 2021

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.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JULY 23, 2021

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 deep learning technologies to carry out accurate conversions. Github link- Hybrid Recommendation System 21.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52