Artificial Intelligence and Data Science

What Is Artificial Intelligence?

Artificial Intelligence is an umbrella term that covers a variety of new-age cognitive technologies like machine learning, deep learning, NLP, and neural networks. AI enables us to build intelligent systems capable of performing business processes that previously required human interaction and intelligence.

Artificial intelligence enables machines or programs to carry out tasks in a “smart” way. By integrating AI, a program or machine reacts with human-like behaviors to real-world scenarios via its application of contemplation, judgment, and intention.

In machine learning, a machine or computer system learns how to make accurate predictions—or make “smart” decisions after receiving a particular set of data. It is an AI-based concept that allows machines to identify patterns, learn from previous experiences, and make adequate decisions without or little human intervention.

AI Integration

Both machine learning and deep learning systems are capable of both supervised or unsupervised learning. They use historic data and produce predictive models that can automate business processes, which requires human intelligence. A typical AI/data science project life cycle starts from data extraction, exploratory data analysis (EDA) and covers various advanced stages like feature engineering, model selection, hyperparameter tuning, etc. Not to mention, there’s a huge demand for artificial intelligence jobs in the industry.

Machine Learning Model

Why Choose a Career in Artificial Intelligence/Data Science?

AI and Data Science jobs are some of the most sought-after careers these days. A typical data science project provides you with an opportunity to work with data engineers, subject matter experts/domain specialists, software developers, and data analysts.

As a data scientist, you should be good at statistics/probability and mathematics as you will have to perform effective data analysis and also understand how AI models work.

More and more companies are adopting AI/data science activities quickly, which is creating a huge demand for Data Scientists.

Career in AI and Data Science?

Why bebo as Your Next Organization for Growth?

AI/Data Science is being adopted across industries at a rapid pace and the AI/Data Science team at bebo has extensive experience working on different types of data, be it textual, image, or video. Our team at bebo has developed various AI-enabled tools for QA, computer vision-enabled automation frameworks and worked in different domains like object identification, text analytics, classification, clustering, etc.

bebo also provides an education bonus so that you can learn state-of-the-art data science skills. bebo offers data science jobs for freshers and its employees a secure and stable environment, job security, and the ability to work with a growing and talented team.

bebo As Your Next Organization

Tools & Technologies

  • Machine learning
  • Deep learning
  • NLP
  • EDA
  • Data Wrangling
  • Big Data processing
  • Computer Vision
  • Scikit-learn
  • TensorFlow, PyTorch
  • NLTK, spaCy, BERT
  • Seaborn, Matplotlib, Tableau
  • Pandas, NumPy, SciPy
  • PySpark
  • OpenCV
Tools & Technologies


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Rahat Bhandari

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