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10 Information Related To Data Science Master’s Degree

Sep 15, 2021 |

It’s a well-known fact that data science is one of the most attractive career options these days, thanks to the hype revolving around the data scientist job position. It has triggered increased interest in the data science field from both working professionals and those entering college. To deal with the increasing demand for data science professionals, a lot of institutions have started offering a data science master’s degree. If you too are planning to obtain such a degree, here’re ten facts you should consider before committing your time, effort, and money.

Demystifying Data Science

Sep 15, 2021 |

You may have already heard that data science is a fast-moving, exciting field that pays really well and a numerous number of aspiring candidates are trying to step into this field. All the hypes revolving around this field can trigger some common questions like “What is data science?”, “What are the skills required to enter data science?” etc. To help you establish context, here’s our effort toward demystifying data science. The following discussion should help you make an informed decision.

How Do I Use Machine Learning To Gain Profit?

Sep 13, 2021 |

Undoubtedly, you’ve observed the massive buzz going around machine learning since last few years. While a lot of venture investments are being made, conferences are being organized on how to leverage the power of this technology, small businesses too can get benefitted by using machine learning. In this post, we’re going to explore some of the most common ways through which machine learning helps you gain profit.

What Programming Languages Are Suitable For Natural Language Processing?

Sep 13, 2021 |

Probably you already know that natural languages, which are used by humans for communications, are difficult to define with a specific set of rules. By using the combined power of computer science, computational linguistics, and artificial intelligence, NLP or natural language processing helps machines to understand that natural language. The technique uses machine-based algorithms that have the ability to obtain meaning from communication both verbal and written. Natural language processing is widely used in language translation, recognizing human speech, information retrieval etc.

Neural Networks And Deep Learning

Sep 13, 2021 |

In recent years, artificial intelligence and big data have offered a significant number of advantages to businesses together with some new terminologies that every aspiring tech enthusiast should have a clear understanding of. Deep learning and neural networks are two such terms which are often interchangeably used by many people. But in reality, they’re not the same thing. In this post, we’re going to take a closer look at these two to help you develop a proper understanding of them.

How Should You Start To Learn Machine Learning Using Java?

Sep 13, 2021 |

When you talk about the domain of AI (Artificial Intelligence) and ML (Machine Learning), most experts would suggest you learn Python and R programming languages. Java is seldom talked about and yet, you can use it for AI, ML, etc. According to some 2017 studies, it’s the front-end web developers who leverage their familiarity with JavaScript to machine learning. It was found that 16% prioritized Java for the purpose, while 8% were found to avoid the cumbersome C/C++. It was noticed that front-end desktop application developers prioritized Java more than others (21%), which was in line with Java’s frequent use in enterprise-focused applications. The studies found that enterprise developers tend to use Java in all projects, which included machine learning as well. Though Python and R have their own advantages, you can also use Java for machine learning, AI, and other areas of data science if you’re already adept in it.

What Is Generalization In Machine Learning?

Sep 13, 2021 |

Before talking about generalization in machine learning, it’s important to first understand what supervised learning is. To answer, supervised learning in the domain of machine learning refers to a way for the model to learn and understand data. With supervised learning, a set of labeled training data is given to a model. Based on this training data, the model learns to make predictions. The more training data is made accessible to the model, the better it becomes at making predictions. When you’re working with training data, you already know the outcome. Thus, the known outcomes and the predictions from the model are compared, and the model’s parameters are altered until the two line up. The aim of the training is to develop the model’s ability to generalize successfully.

How Does Machine Learning Benefit From Big Data?

Sep 13, 2021 |

With the volume of data generated by companies and individuals increasing at a skyrocketing pace, a lot of terms like big data, machine learning etc have surfaced. It’s quite normal to ask how these things benefit from each other. In this post, we’re going to discuss how big data benefits machine learning to help you make an informed decision if you’re interested to step into these fields.

How Can I Be A Data Scientist Role Candidate That Companies Are Looking For?

Sep 13, 2021 |

Undeniably, data scientist jobs are extremely in demand and this position has become one of the most lucrative career options these days. As a result, recruiters and hiring managers are being flooded with applications. In this scenario, the expectation revolving around the perfect data scientist role candidate has changed to a great extent and businesses have started to understand the ability to train a machine learning model is just a small part of what it actually takes to be a successful professional in data science. So, what should you do to become that perfect data scientist role candidate? Let’s have a look.

Why Is Python A Language Of Choice For Data Scientists?

Sep 13, 2021 |

According to various job advertisements for different data science positions, both Python and R belong to the most commonly mentioned and preferred skills. But a lot of studies have revealed that Python programming language is being used more by data scientists. But what exactly makes this language a preferred one for data scientists? In this post, we’ve tried to find out the answer.

Recent Article

The Future Of Data Science Job Market: Trends And Opportunities

The Future Of Data Science Job Market: Trends And Opportunities

Dec 26, 2022 |

The data science industry is constantly growing and evolving, and as such, there are always new and exciting job opportunities on the horizon. In this article, we delve into the current trends and opportunities in the data science job market and provide tips and guidance for professionals looking to advance or build their careers in this dynamic field.

Creating A Forest From A Tree: A Brief Introduction To Random Forest

Creating A Forest From A Tree: A Brief Introduction To Random Forest

Dec 19, 2022 |

Perhaps you already know that data scientists identify patterns in massive volumes of data. But do you know how? They use many different machine learning algorithms to translate the data into actionable insights based on which organizations make strategic business decisions. They need to choose the right algorithm to solve the problem at hand.

Keras Vs PyTorch

Keras Vs PyTorch

Dec 18, 2022 |

Deep learning has gained massive popularity over the last few decades. This subset of AI (Artificial Intelligence) can prove to be handy when you apply it to your business or is even a good subject to learn if you just want to increase your marketable skills. However, to reach your business or learning goals, it’s important to choose the right deep learning framework. Here, we’ll discuss and compare two popular deep learning frameworks, namely Keras and Pytorch, to help you decide which one would work the best for your machine learning projects or real-world applications.