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21 Professional Growth Skills to Master in 2021

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Entrepreneurs should always be learning. Jim Rohn, a known motivational speaker, says that the world's most successful people are lifelong learners. While the world of business is constantly evolving and adapting, good entrepreneurs know that they have to evolve right along with it. We've rounded up some of the best courses you can take online, on your own time, to improve your skills for the new year. Python is one of the most popular programming languages for non-technical founders because it's relatively easy to learn and has a huge array of applications.


14 Most Used Data Science Tools for 2019 - Essential Data Science Ingredients - DataFlair

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A Data Scientist is responsible for extracting, manipulating, pre-processing and generating predictions out of data. In order to do so, he requires various statistical tools and programming languages. In this article, we will share some of the Data Science Tools used by Data Scientists to carry out their data operations. We will understand the key features of the tools, benefits they provide and comparison of various data science tools. Stay updated with latest technology trends Join DataFlair on Telegram!! Data Science has emerged out as one of the most popular fields of 21st Century. Companies employ Data Scientists to help them gain insights about the market and to better their products.


Python AI: Why Python is Better for Machine Learning and AI

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Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than every, Python development services are a priority for high-scale enterprises and startups. Python developers are in high-demand – mostly because of what they can achieve with the language. AI programming languages need to be powerful, scalable, and readable. Python code delivers on all three. While there are other technology stacks for AI-based projects, Python has turned out to be the best programming language for AI.


Three Pitfalls for Data Scientists

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Making mistakes is part of the learning process, and probably there is no way to avoid it. The important thing is to make sure we don't make the same mistake twice. This is not possible if we don't even know we are making a mistake. In the sequel, I discuss three common mistakes regarding the use of data science tools and practices. These mistakes make your work inefficient and may cause unnecessary charges.


2021 Data Science & Machine Learning with R

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This is currently in an Early Bird Beta access, meaning we are still going to be continually adding content to the course (even though we are already at over 22 hours of content!) Since we're still adding content and taking student feedback as we complete the course through the start of 2021, students who enroll now will get access to a wide variety of benefits! Welcome to the Learn Data Science and Machine Learning with R from A-Z Course! In this practical, hands-on course you'll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.


Global Big Data Conference

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What makes Python a top choice in the Data Science community? Python has become the most used programming language for data science practices. Developed by Guido van Rossum and launched in 1991, it is an interactive and object-oriented programming language similar to PERL or Ruby. Its inherent readability, simplicity, clean visual layout, less syntactic exceptions, greater string manipulation, ideal scripting, and rapid application, an apt fit for many platforms, make it so popular among data scientists. This programming language has a plethora of libraries (e.g., TensorFlow, Scipy, and Numpy); hence Python becomes easier to perform multiple additional tasks.


Python and Data Science from Scratch With RealLife Exercises

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Welcome to my "Python and Data Science from Scratch With Real Life Exercises" course. Do you know data science needs will create 11.5 million job openings by 2026? Do you know the average salary is $100.000 for data science careers! Data science experts are needed in almost every field, from government security to dating apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers.


Health State Estimation

arXiv.org Artificial Intelligence

Life's most valuable asset is health. Continuously understanding the state of our health and modeling how it evolves is essential if we wish to improve it. Given the opportunity that people live with more data about their life today than any other time in history, the challenge rests in interweaving this data with the growing body of knowledge to compute and model the health state of an individual continually. This dissertation presents an approach to build a personal model and dynamically estimate the health state of an individual by fusing multi-modal data and domain knowledge. The system is stitched together from four essential abstraction elements: 1. the events in our life, 2. the layers of our biological systems (from molecular to an organism), 3. the functional utilities that arise from biological underpinnings, and 4. how we interact with these utilities in the reality of daily life. Connecting these four elements via graph network blocks forms the backbone by which we instantiate a digital twin of an individual. Edges and nodes in this graph structure are then regularly updated with learning techniques as data is continuously digested. Experiments demonstrate the use of dense and heterogeneous real-world data from a variety of personal and environmental sensors to monitor individual cardiovascular health state. State estimation and individual modeling is the fundamental basis to depart from disease-oriented approaches to a total health continuum paradigm. Precision in predicting health requires understanding state trajectory. By encasing this estimation within a navigational approach, a systematic guidance framework can plan actions to transition a current state towards a desired one. This work concludes by presenting this framework of combining the health state and personal graph model to perpetually plan and assist us in living life towards our goals.


50 Best Python Tutorial Online To Learn Python Fast 2019 JA Directives

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Are you looking for the Best Python Tutorial Online To Learn Python Fast? The best way to learn python is with the list of the Best Python Courses online, books, Training, and Certification Program, which will help you to become an expert in Python programming language and Python programmer. The largest curated list for everything you need to know about Python. Don't be afraid, you will be happy to know that if you have a little idea about programming experience than it's easy for beginners like you to use and learn Python, so let get started! Also, we have included some bonus python certification book to help you to become a Python certified programmer. Learning Python from different sources are now available and installing Python is easy. Many Linux and UNIX distributions include a recent Python. Also, many Windows computers now come with Python already installed. If you don't know how to install Python you can find a few notes on the BeginnersGuide /Download on the wiki page.


50 Best Python Tutorial Online To Learn Python Fast 2019 JA Directives

#artificialintelligence

Are you looking for the Best Python Tutorial Online To Learn Python Fast? The best way to learn python is with the list of the Best Python Courses online, books, Training, and Certification Program, which will help you to become an expert in Python programming language and Python programmer. The largest curated list for everything you need to know about Python. Don't be afraid, you will be happy to know that if you have a little idea about programming experience than it's easy for beginners like you to use and learn Python, so let get started! Also, we have included some bonus python certification book to help you to become a Python certified programmer. Learning Python from different sources are now available and installing Python is easy. Many Linux and UNIX distributions include a recent Python. Also, many Windows computers now come with Python already installed. If you don't know how to install Python you can find a few notes on the BeginnersGuide /Download on the wiki page.