Disclaimer: This post may be slightly dryer and technical than my usual posts, but I'll try my best to simplify and make it less painful to read. Conventional wisdom tells us when it comes to Machine/Deep Learning you need large quantity of data. While this is true, in situations where large quantity of relevant data is not readily available, it shouldn't prevent you from pursuing to solve a problem using Deep Learning. It should be evaluated on a per-case basis. Don't just rule out adopting Machine/Deep Learning because "there is not enough data".

This article presents a vision where \textit{real-time} digital twins of the physical wireless environments are continuously updated using multi-modal sensing data from the distributed infrastructure and user devices, and are used to make communication and sensing decisions. This vision is mainly enabled by the advances in precise 3D maps, multi-modal sensing, ray-tracing computations, and machine/deep learning. This article details this vision, explains the different approaches for constructing and utilizing these real-time digital twins, discusses the applications and open problems, and presents a research platform that can be used to investigate various digital twin research directions.

Research Engineer, Machine/Deep Learning and Network Security in Electrical & Electronic Engineering, Research Related with NATIONAL UNIVERSITY OF …

TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path.

TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path.

For the engineers, priority goes to TensorFlow2. For the students and researchers，first choice should be Pytorch. The best way is to master both of them if having sufficient time. Keras will be discontinued in development after version 2.3.0, Keras is a high-level API for the deep learning frameworks.

Sap flows in the crop are an important indicator of plant development. Students at Inholland University of Applied Sciences worked in the Ideal Research Greenhouse Lab to measure and visualize the sap flows in a cherry tomato crop, whereby Machine Deep Learning has been used to predict the growth of the head thickness of the plants based on these data, they wrote in a research report. Algorithms Within the project, which was monitored using heat-balance sensor technology, algorithms were developed that monitor the moisture balance of the plant. The sap flows (Xylem) and their balance are in practice among the most difficult to measure and to control parameters, the researchers said in the report. "Plants can be grown optimally based on proactive response to evaporation of moisture from the plant." A model has been developed to control, automate, regulate and optimize the development process of the plant while wastage of raw materials such as water, nutrients, etc. is minimized or even prevented.

Be responsible for the entire algorithmic life-cycle in the company: data analytics, prototyping of new ideas, implementing algorithms in a production environment and then monitoring and maintaining them Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company's revenue Work on a daily basis with some of the hottest trends in today's job market: machine/deep learning, big data analytics and cloud computing Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems Influence directly on the way billions of people discover the internet Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company's revenue