Artificial Intelligence: Trends & Applications To Watch In 2020

For movie buffs, the work that the factory machines do in Charlie Chaplin’s 1936 classic, Modern Times, may have seemed too futuristic for its time. Fast forward eight decades, and the colossal changes that Artificial Intelligence is catalyzing around us will most likely give the same impression to our future generations. There is one crucial difference though: while those advancements were in movies, what we are seeing today are real.

A question that seems to be on everyone’s mind is, What is Artificial Intelligence? The pace at which AI is moving, as well as the breadth and scope of the areas it encompasses, ensure that it is going to change our lives beyond the normal. The thing with AI is that it can bring about developments in a very fundamental manner into the activities we are accustomed to carrying out in our daily lives, from the way we watch movies to how we learn.

The applications of AI are not limited to a single field or industry. A selection of just some of the sectors on which AI is making an unprecedented and irreversible impact:

• Information Technology
• EdTech Industry
• Agriculture
• Automobile
• Manufacturing
• Retail, and many more.

In this blog, let us examine a selection of 8 AI applications and 7 trends that show immense potential for changing the very manner in which our lives will be led in the future.

Just as we start, let me lead you into a very useful online course on Artificial Intelligence which will enhance your understanding of this technology, and is aimed precisely at those who want to learn Artificial Intelligence.

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Online Teaching Jobs Part-Time at Simpliv

How to Become an Expert:

Expand the depths of your knowledge in your area of expertise by becoming an author with us! Simpliv offers abundant opportunities for you to sharpen your teaching skills, pursue your passion, and become part of its global pool of experts.

Choose from the expansive array of topics that interest you. Simpliv has courses on any topic that could interest the human mind. This is a wonderful opportunity to become popular with our community of learners.

Steps:

1. Choose your Topic:

Your interest could be on any topic ranging from photography to geology or from food to Python programming and many more.

2. Upload your Video:

Prepare a video of a sample lecture and upload it to us. We will review and get back to you.

3. Grow your Community:

What is more satisfying than having learners craving for your teaching? We will connect you to your audience.

Why Choose Simpliv?

• World’s Best Online Video Courses.
• Students Spread over the Length and Breadth of the Globe from many Age Groups.
• Opportunity to Work for a Reputable Online Platform.
• Set your own Working Hours and Teach Topics of your choice.
• Transparent and Punctual Payments through Secure Online Transactions.
• Earn money and Become famous among students all over the globe.

Become an Instructor: https://www.simplivlearning.com/for-author

Contact for More Information:

USA:

Phone: +510-849-6155
Email: support@simpliv.com

India:

Phone: 080-68439514
Email: support@simpliv.com

 

Learn Python or R for Data Science

This blog will highlight the following key areas:

• R vs Python
• Comparison between R and Python on the basis of following:
  • Ease of Installation
  • Robustness and Flexibility
  • Ease of Learning
  • Speed of Processing
  • Statistical and Analytics Ability
  • Suitable Area
• Reasons to Learn R and Python
• Which is Better for Data Analysis and Data Science?
• Is Python better than R?
• Real-life Use Cases of R and Python
• Career Opportunities in R and Python
• Which Language to Go First?

What are R and Python?

R is an open-source programming language developed for statistical analysis and computations.

Like R, Python is also an open-source programming language that was initially developed as a general-purpose programming language, and later branched out to be a language for Statistical Analysis and Machine Learning Modeling.

Let’s understand the difference between these two highly popular Data Science languages:

Ease of Installation

Well to start with, R packages are solely managed by CRAN (The Comprehensive R Archive Network) repository that manages the updated versions, their installations, and related documentation of R Packages. All the packages you install in R are stored in CRAN. Also, any new package to be added in R should be submitted to CRAN. Currently CRAN has over 16000 additional statistical packages. This is why it is easier to install R.

On the other hand, Python has two package management platforms, Conda and PyPI (Python Package Index) that include over 100k Python packages. There have been inconsistencies found in Packages, Libraries, and Versions while installing Python due to two repositories. Due to this reason, it is a little tedious to install Python.

 

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How to Write a Resume? | Resume Writing Complete Guide [2020]

What is a Resume?

I will start this blog with a piece of advice: DON’T read it. That is, if you are either of these: Donald Trump, Tom Hanks, LeBron James, Leonardo DiCaprio, Roger Federer, The Beard, Brad Pitt, Steph Curry, Angelina Jolie, Kim Kardashian, Rafael Nadal, et al!

The personalities mentioned here are some of the one-in-a-million people that don’t need a resume because their name is enough. However, for you and me, a resume is our professional identity. It is that succinct, valuable document that will drive our chances of getting selected for a job of our choice.

This blog is for those among you who face these challenges:

• You are convinced that you have a great professional profile, but are frustrated at not getting interview calls
• You believe that you have given a good account of your professional profile in your resume, but are not getting noticed by employers and job portals
• You are unable to describe all your career highlights and accomplishments in a manner that enables your resume to stand out and get noticed
• You are seriously wondering if you need to hire the services of resume writing companies to make your resume more appealing.

This blog will explain the elements and dynamics of a resume that employers cannot take their eyes off. I intend to help you address the issues you may have, such as those listed above, or related ones. I am confident that by the time you have read this blog, you will gained a thorough perspective of what it takes to craft a resume that can no longer be ignored.

Let us get started, then! Let us start by getting an understanding of what a resume is, which will serve as the basis for getting a grasp of how to write one that will land you the job you are looking for.

In the process, you will learn some of the most crucial aspects of rules and conventions concerning how to write a resume that is not only proper and relevant to your profile, but also increases your chances of getting noticed and fished out from among a heap of competing ones.

We will be covering the following topics:

• What is the difference between a Resume and a CV?
• What is the difference between a CV and cover letter?
• What Is the Purpose of Writing A Resume and Why It Is Important?
• How to Write A Resume?
• How to Write a Cover Letter?
• Most Important Resume Sections
• How to Tell Your Story on LinkedIn?
• Various Resume Formats
• What are the common mistakes of a resume? Top Red Flags
• Outdated Resume rules you need to stop following
• How to Write a Resume That Stands Out |17 Simple Steps
• Bonus Resume Writing Tips

The resume is the most accurate and visible face of whatever you are as a professional. The world may recognize a DiCaprio by his face and a Kim Kardashian by something else, but where the average person is concerned, the resume is the mirror that you hold out to your prospective employer. Or, for that matter, anyone that could have a stake in your role and performance as a professional, such as an investor, incubator, mentor, etc.

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[FREE LIVE WEBINAR] How To Start Your Career in Data Science- What are The Next Steps?

About the Course

Join this FREE webinar if you are anyone from below:

You are a beginner or a fresher who is aspiring to make a dream career in the field of Data Science.

You want to learn what you need to do to get a job as a data scientist.

You have no prior experience and want to get started with Data Science.

You are not sure if you have the right skillset to make it big in the field of Data Science.

You want to know top mistakes to avoid and gain edge on your competition.

You are looking to gain the knowledge to choose best career path for you.

You will also understand how come there is a shortage of Data Scientists in companies when everybody, even a non-technical person, is trying to become a data scientist today.

Join the Free Webinar To get expert insights on what can make you a better data scientist than other applicants?

Course Objective

How Is Data Science Shaping The Future?

How to Know if Data Science is Right Field for You?

Top 3 Data Science Careers Options for You.

How to Make It in The Data Science Field?

Key Mistakes You Should Avoid.

What Key Skills You Need to Focus On?

What Type of Background Can Give You An Edge?

How to Overcome Gaps in Your Experience & Resume?

Job Market & Career Outlook …and more!

Who is the Target Audience?

Freshers or beginners who wants to make career in Data Science

Basic Knowledge:

No pre-requisites. Just passion to learn

 

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How to Write a Resume? | Resume Writing Complete Guide [2020]

What is a Resume?

I will start this blog with a piece of advice: DON’T read it. That is, if you are either of these: Donald Trump, Tom Hanks, LeBron James, Leonardo DiCaprio, Roger Federer, The Beard, Brad Pitt, Steph Curry, Angelina Jolie, Kim Kardashian, Rafael Nadal, et al!

The personalities mentioned here are some of the one-in-a-million people that don’t need a resume because their name is enough. However, for you and me, a resume is our professional identity. It is that succinct, valuable document that will drive our chances of getting selected for a job of our choice.

This blog is for those among you who face these challenges:

• You are convinced that you have a great professional profile, but are frustrated at not getting interview calls
• You believe that you have given a good account of your professional profile in your resume, but are not getting noticed by employers and job portals
• You are unable to describe all your career highlights and accomplishments in a manner that enables your resume to stand out and get noticed
• You are seriously wondering if you need to hire the services of resume writing companies to make your resume more appealing.

This blog will explain the elements and dynamics of a resume that employers cannot take their eyes off. I intend to help you address the issues you may have, such as those listed above, or related ones. I am confident that by the time you have read this blog, you will gained a thorough perspective of what it takes to craft a resume that can no longer be ignored.

Let us get started, then! Let us start by getting an understanding of what a resume is, which will serve as the basis for getting a grasp of how to write one that will land you the job you are looking for.

In the process, you will learn some of the most crucial aspects of rules and conventions concerning how to write a resume that is not only proper and relevant to your profile, but also increases your chances of getting noticed and fished out from among a heap of competing ones.

We will be covering the following topics:

• What is the difference between a Resume and a CV?
• What is the difference between a CV and cover letter?
• What Is the Purpose of Writing A Resume and Why It Is Important?
• How to Write A Resume?
• How to Write a Cover Letter?
• Most Important Resume Sections
• How to Tell Your Story on LinkedIn?
• Various Resume Formats
• What are the common mistakes of a resume? Top Red Flags
• Outdated Resume rules you need to stop following
• How to Write a Resume That Stands Out |17 Simple Steps
• Bonus Resume Writing Tips

Click Here to continue reading 

Should I Learn Python or R for Data Science?

R vs Python

If you are someone who wishes to make a career in Data Science, then the ultimate question you have to face is, which programming language you should learn and why? There have been numerous discussions on public forums with people advocating for R or Python for plenty of reasons.

Though it completely depends on your choice, comparing both the languages on some grounds will surely help you make the right decision.

What are R and Python?

R is an open-source programming language developed for statistical analysis and computations.

Like R, Python is also an open-source programming language that was initially developed as a general-purpose programming language, and later branched out to be a language for Statistical Analysis and Machine Learning Modeling.

Let’s understand the difference between these two highly popular Data Science languages:

Ease of Installation

Well to start with, R packages are solely managed by CRAN (The Comprehensive R Archive Network) repository that manages the updated versions, their installations, and related documentation of R Packages. All the packages you install in R are stored in CRAN. Also, any new package to be added in R should be submitted to CRAN. Currently CRAN has over 16000 additional statistical packages. This is why it is easier to install R.

On the other hand, Python has two package management platforms, Conda and PyPI (Python Package Index) that include over 100k Python packages. There have been inconsistencies found in Packages, Libraries, and Versions while installing Python due to two repositories. Due to this reason, it is a little tedious to install Python.

Want to read about Python in detail? Read this riveting blog!

Robustness and Flexibility

R has all the features that Python has in terms of programming ability, statistical computing and modeling, but Python is more flexible and robust. Python is a better option when it comes to integrating it with web applications and production.

However, R is less robust and versatile, which is why it is limited to statistical computing and mathematical modeling.

Ease of Learning

One of the most frequently asked questions is “Which between R and Python is easy to learn?”.

Both R and Python have almost similar features, but when it comes to syntax, R is a little complicated and is better for someone who is already familiar with other programming language. On the other hand, Python has a relatively simpler and readable syntax and hence, for anyone who is about to start-off with a programming language, Python is a good option.

However, when the model building becomes complicated, it requires someone who is proficient in Python.

Speed of Processing

Usually Python is 8 times faster than R till there are up to 1000 iterations. When the number of iterations increases, R typically surpasses Python’s speed. In comparison to Python, R requires more lines of codes to perform a certain task, which make the programs more complex and bulkier.

Statistical and Analytics Ability

R was designed for statistical computation and Modeling purposes and hence it performs better for any level of complex computation. R has better statistical packages and libraries for dashboard than Python. Python being a general programming language somehow lacks the packages and libraries for Data Science. Python is better suited for modeling and machine learning, which is complicated in R.

Suitable Area

The focus of R is primarily into statistical analysis and hence it is better suited to academia and research. On the other hand, Python being the programming language for all purposes is suitable for tech industry. However, Python also comes with packages that can create an environment similar to R.

There are plenty of other grounds that differentiate R from Python. The following table will further clarify that!

 

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Boost Your Immune System Naturally To Fight (Covid-19)

The Outbreak Of The Coronavirus (COVID-19) Has Impacted People In Varying Ways On An International Scale.

Description

Dear students,

As the world grapples with the quickly evolving coronavirus I wanted to reach out and let you know that I hope you, your family and loved ones stay safe and healthy during these particularly challenging times.

The outbreak of the coronavirus (COVID-19) has impacted people in varying ways on an international scale. It is understandable that during times like these people may be feeling fearful, anxious and overwhelmed by the constantly changing alerts and media coverage regarding the spread of the virus.

While it is important to stay informed, the following are some Mental health and Well-being tips and strategies to help you continue looking after yourselves and each other during these very difficult times.

Manage your exposure to media coverage as this can increase stress levels and feelings of fear and anxiety. Be mindful of sources of information and ensure you are accessing good quality and accurate information.

Follow a “calm yet cautious” approach – do your best to remain calm and be mindful not to contribute to the widespread panic that can hinder efforts to positively manage the outbreak. Ensure you are following directives issued by the government, medical advice and observe good hygiene habits.

Show compassion and kindness to one another – these times of fear, isolation (both physical and social) and uncertainty are when it is most important that we strengthen our sense of community by connecting with and supporting each other in whatever way that we can while still continuing to keep ourselves safe.

I’ve had to close my clinic doors in the last few weeks as I’m sure has been the case for so many of you but instead of getting caught up in the stress and uncertainty of it all, I decided to put my time and energy into creating a course that would provide great benefit to you, my students during this current pandemic.

In this course I share with you my all time favorite techniques for helping to defuse stress and boost immunity.

These are the techniques that I’ve been using daily with my own family to keep us safe and healthy during this time and I do hope you’ll find them useful too!

Our immune system is designed to protect our bodies from infection by fighting foreign invaders such as viruses and harmful bacteria as well as cancer.

However, excessive stress as many of us are dealing with now more so than ever wreaks havoc on our immune systems by affecting our thymus gland. This gland manufactures white blood cells called t-cells which help to regulate immunity and also produces various immune related hormones.

The stress reaction diverts resources to the main parts of the body that need to deal with stress, mainly the brain, heart and muscles.

Other systems are then deprived of resources, including our immune systems. Hormones produced by the adrenal glands can cause the thymus to shrink and also degrade the activity of the white blood cells, causing damage to the body’s ability to fight infection. As a result, high levels of stress can result in reduced resistance to common infections such as colds and flu.

As this course focuses on specific techniques that help to defuse stress levels, strengthen your thymus gland and overall immunity and much, much more…working your way through it should definitely be high up on your list of things to get stuck into during this somewhat quiet time.

As an added bonus the course also offers students a full colour comprehensive course manual which goes more in depth into the techniques being taught, so be sure to go to the ‘Bonus Material – Downloads’ section as soon as you sign up and download your copy!

Who this course is for:

• This course has been created for students of ‘All Levels’

---

Basic knowledge

• No previous experience necessary

---

What will you learn

• Boost Your Immune System Naturally
• Discover How to Eliminate Stress Fast
• Enhance Brain Function
• Boost Energy Levels
• Improve Digestion
• Dissolve Back Pain

ENROLL NOW

Python Career Guidelines: How To Become A Python Professional?

One of the familiar questions that we read these days on platforms such as Quora is: how do I become a professional Python programmer?

Yes, today many IT professionals are willing to pursue their career as Python programmer.The reason for the rise in such trend is because Python is emerging as the one of the most powerful programming languages of the present IT world.

Today we can see that more and more companies are relying on Python to develop their software projects across different industries. This programming language is being used in various fields such as Artificial Intelligence, Machine Learning and Data Science etc.

These are some of the factors that have led to offered huge career opportunities for young aspiring professionals across the world.

Source: Stack Overflow

We have also observed that many young IT professionals are looking for a right career guide that would help them to become a Python professional. Sowith an aim to help all such people all we are presenting here this blog to discuss a career guideline to become Python professional.

If you are new to the world of Python and are willing to learn it then we recommend to look into these online courses that contains a library of Python course that help you to learn this programming language efficiently.

In this blog, I will be covering the following topics.

• Why Learn Python?
• What are the career opportunities related to Python programming?
• Top companies using Python Programming
• Where Python developers can find jobs?
• How Simpliv can help You to become a Python professional?
• 5 Key Takeaways

Why Learn Python?

Python is a general purpose, object oriented, easy to learn programming language. There are many reasons why one needs to learn Python. Some of them are as follows:

• Python supports Object-Oriented programming language
• Python follows a easy syntax and hence has a simple coding structure
• Python is considered as an easy programming language to learn for beginners
• Python supports set of different libraries and API’s that will help the developers to build the software applications easily.

Now let us see some of the career opportunities of Python Programming.

 

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The Increasing Role of A Blockchain Developer | Simpliv

Blockchain technology revolutionized the world, no less. It is now being used in various industries, such as marketing or even banking. Even though this technology is relatively new, it is already widely known, and more and more companies are searching for ways to include it into their daily workflow and hire blockchain developer.

With its tendency to simplify business processes, blockchain will surely become an important tool of corporations’ organization. Having said all that, there is no surprise that the role of the blockchain developer became one of the most demanding in the modern market.

Let’s learn more about these specialists and what value they can add to the business.

Blockchain Development: An Overview

Probably everyone has heard of blockchain by now, however, not everyone knows what kind of technology it is and what it could be used for.

First and foremost, this technology is a record-keeping system that grants access to any Internet user out there. The data put into the blockchain cannot be removed and can only be further specified in case of changes.

This technology is insanely versatile thus it is being used in various industries. Even though most people associate blockchain with cryptocurrency, it is also being widely used in banking, medicine, retail, voting systems, digital retail, etc.

Due to the increased popularity of this technology and variety of cases where it can be used, there is no wonder that the role of the blockchain engineer is getting high in demand as well.

Blockchain Developer Duties

It would be hard to keep going about blockchain software engineercareer path popularity without explaining their duties first. Previously we have mentioned that blockchain is basically a chain of informational ‘nodes’ that are connected to each other and consist of encrypted data pieces. So blockchain developer is a person who is responsible for applications’ development that are being executed on each particular node of a blockchain.

The biggest challenge of this job is to make sure that the code, written for blockchain can be used in a successful cooperation with a ‘classical’ code.

Now, if you decide to hire blockchain developer, you will need to know that currently there are two main types of them – core and software ones.

Developers of the first type are usually responsible for the architecture of the blockchain, design of its protocols, and other high-level decisions. On the contrary, Software blockchain developers are being somewhat dependent on the previous type, as they use the results of the core blockchain developers’ work to build applications that would be run on blockchain.

Blockchain Developer Skills

Regardless of the type of a blockchain developer you are looking for, there is a set of certain skills that either of them should obtain:

• Blockchain architecture. Obviously, a good blockchain developer should know this technology from inside and out, being expert in how blockchain protocols are being built, and so on. Also, a great specialist of this field should be familiar with all professional terms.

• Proficiency with data structure. Data structure is one of the core elements of blockchain technology and is a key to understanding its true capabilities.

• Cryptography. Blockchain is all about security so any good developer of this field usually knows two or three such methods to ensure the safety of the data.
• Smart contract. Smart contracts are those particular functions that allow business seamlessly incorporate the blockchain technology into their workflow. Usually it means learning a few particular programming languages such as Viper or Chaincode.
• Web development. Blockchain development might differ from web development as we know it, however, knowing the basics is a ‘must’ for anyone who is thriving to become an expert of it, especially major aspects of front-end and back-end development.

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Want to Know Blockchain Engineer Salary http://bit.ly/38m9jkT