Univ_Techs ::: To Explore Tech

While C and C++ are still considered to be a holy grail of the programming languages, new and in-demand programming languages, frameworks have risen to fame. Developers need to upgrade their skills constantly to keep up with the current market. There are the many ways to know the popularity of a programming language but we think that Indeed.com is the best source to know about developer trends. Indeed.com has compiled a list of programming languages that are going to be extensively used in 2018. Highly Demanded Programming Languages in 2018 1. Java The job postings for Java Developers have reduced significantly compared to 2017 but the language is extremely well established. The continued support from Oracle is keeping the language in Loop. Furthermore, Java is still being used in billions of devices worldwide and is currently able to run on the most of the Hardware platforms. 90% of the fortune’s top 500 companies are using Java as the server-side progr...

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Supervised learning : The computer is presented with example inputs and their desired outputs, given by a "teacher", and the goal is to learn a general rule that maps inputs to outputs. As special cases, the input signal can be only partially available, or restricted to special feedback:                     Semi-supervised learning : the computer is given only an incomplete training signal: a training set with some (often many) of the target outputs missing. Active learning : the computer can only obtain training labels for a limited set of instances (based on a budget), an...

What's New in Tensorflow Machine Learning Google's TensorFlow 1.4 machine learning library adds the contributed Dataset API for working with data sources, but watch out for breakage caused by the update. TensorFlow, Google’s contribution to the world of machine learning and data science, is a general framework for quickly developing neural networks. Despite being relatively new, TensorFlow has already found wide adoption as a common platform for such work, thanks to its powerful abstractions and ease of use. TensorFlow 1.4 API additions TensorFlow Keras API The biggest changes in TensorFlow 1.4 involve two key additions to the core TensorFlow API. The  tf.keras  API allows users to employ the Keras API, a neural network library that predates TensorFlow but is quickly being displaced by it. The tf.keras API allows software using Keras to be transitioned to TensorFlow, either by using the Keras interface permanently, or as a prelude to the s...

M achine learning is one of the fastest growing fields in the technical world. All major tech giants are investing heavily in machine learning and data science to improve their products. To work in this field, you need to learn some particular programming languages and skills. To give us an idea about the real situation, IBM’s JeanFrancoisPuget used the trend search available on indeed.com and wrote a blog post that indicates how skill popularity evolves. To do this, the machine learning and data science skills were searched in conjunction with the prominent programming languages like C, Java, C++, and JavaScript. Python and R were included as they are known to be popular for machine learning and data science. Apart from the languages mentioned above, Scala and Julia were also included. Here are the interesting results that were observed: So, what do we learn from this data? The graph shows that there are a number of programming languages that...

  Robotics is a domain in artificial intelligence that deals with the study of creating intelligent and efficient robots. What are Robots? Robots are the artificial agents acting in real world environment.   Objective: Robots are aimed at manipulating the objects by perceiving, picking, moving, modifying the physical properties of object, destroying it, or to have an effect thereby freeing manpower from doing repetitive functions without getting bored, distracted, or exhausted.   What is Robotics? Robotics is a branch of AI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of robots.   Aspects of Robotics The robots have mechanical construction , form, or shape designed to accomplish a particular task. They have electrical components which power and control the machinery. They contain some level of computer program that determines what, when and h...

      Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "Machine Learning" in 1959 while at IBM. Machine Learning - Techniques: Regression is used to predict numbers, such as optimum pricing, Jeffcock says. For example, it might be used to predict home prices based on the number of rooms and the size of the yard. Other uses include estimating customer lifetime value. Interestingly, Jeffcock notes, even though machine learning is one of today’s hottest buzzwords, not all the techniques are new. Regression concepts can be traced back to British statistician Sir Francis Galton, Charles Darwin’s half-cousin, as early as 1875. Classification is a “supervised” learning technique in which the system learns to identify members of a known ...