Bit20 : A New Lease Of Life To Cryptocurrency



A Smart Coin is a cryptocurrency whose value is fixed to that of another asset, such as the US Dollar or gold. Smart Coins always have 100% or more of their value assisted by the Bit Shares core currency, BTS, to which they can be converted at any time at an exchange rate set by a reliable price feed.


The idea behind bit 20 is feed that it is a crypto portfolio that you are investing in and so there’s only one coin or its 1.0 1/6th of a bit 20 coin and that coin is included of twenty different coins so by buying little and small pieces of this amazing portfolio. It contains 20 cryptos that are on the top of the cryptos rate. So, it’s like buying a diversified portfolio in one single transaction.

Bit20 has grown massively in value. The smallest unit (0.00001 BTWTY) is now cost several dollars and it keeps growing. Firstly, it was thought to include ten crypto currencies in this coin but later on from 11th to 20th range have had a lot of potential to grow out and should be a part of the bit20. Therefore, in the later stage bit 20 included top 20 bitcoins that contains the highest values and the coin whose value shrinks or does not grow or remains same is excluded when the list is updated again and the another one that is growing somehow is included in index which contains ratio values that is been mined by a bitcoin in $USD.

Bit20 index fund includes first 20 bit coins and different percentage of 20-bit coin is included whose price is very high. Bit 20 does not include those coins which does not increase or grow their values. Using some index values, it is calculated. But if some bit coin fails in increasing value then it does not include in list it is removed from list. and next month new one who are performing better takes their place. If I compute value of bit 20 recently it is 137667.652488 $ therefore after calculations of twenty top rated currencies a bit 20 is found and it is very valuable because it contains many percentages of different bit coins.

So far as it is considered to do mining of a simple bit coin it I not so easy to do so without a powerful hardware GPU’s. we can also do the same on CPU but it would be much expensive and slow procedure. Therefore bit 20 is also not so easier to mine it would take a sufficient time and resources but it would also make us millionaire.

An algorithm calculates the weight (% ) of each coin in the index.
The witnesses represent the highest representation of trust and decentralization in the Bit Shares ecosystem. They have the code to produce the index price using the composition created by the first algorithm.

The index value of a bit coin could not be stored on a centralized server because it could be hacked or its index values could be changed passing with time or for personal use. Therefore, they used bit share. block chain to store index composition. Every month the new composition is updated in a standard transaction memo.

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Machine learning progress in 2017


To understand the actual scenario of technology and how is it invading the world, consider yourself back in the early twentieth century. It was probably an era of humans breathing its last. Since then, the technology has gradually progressed and conquered the entire universe. So much so, the human beings taken hostage but the machines. You can’t even depend on your mind for even simple calculations! The calculators and phones are there for the job! Moreover, we have stepped into 2018. The time is flying, and technology making progress by leaps and bounds. Since the era of technology has taken over the world, the machines, gadgets and artificial humanoid robots have become a threat. Let’s have a look what the devices have learned in 2017.

The concept of Artificial Intelligence emerged right from the first machine ever invented; it was meant to practice all cognitive functions of a human mind. In 2017, there had been many contributions in Artificial Intelligence. Humanoid robots, such as Sophia and Dan look no less than a human and display some facial features. They speak even smarter than a human and understand speech, expressions and do also participate in games against humans. Artificially Intelligent Robots now used for Military Spying by FBR.

In 1956, Artificial Intelligence incorporated in the academic syllabus, and since then, it started becoming a threat to human race either the humans will get defeated by its invention? Would human race end ultimately by robots? Would humans serve as slaves of robots in future? It sounds weird how can robots become smarter than the humans to rule them, but it is entirely possible! The Artificial Intelligence is linked directly to the programming of robots. Like when you operate a computer, it functions only the way it has programmed. Similarly, the companies that have created robots have either created them human-friendly to assist humans in contributing towards the welfare of the world or created them with the perspective of invading the world and ending the human race. We have some robots who have presented their outlook on future of the human beings. On July 14, 2017, a debate held between a human-friendly robot Sophia and Han, a revolutionary robot who wishes to create his army to flush humanity off the earth in a TV show RISE. Han explicitly said that in ten or twenty years, humans would be able to do every human job, followed by a fishy smile. Thais understandable, as in October 2017 the news erupted that Sophia was gave Saudi Arab citizenship by the Saudi government. Means above those robots have all those rights that are of humans.

An important question to pay a little heed to, is, how do robots learn? Are they smarter than humans? Do they learn from experience? Then it has an inevitable decent discussion here. Yes, not does a robot only learn something itself, but it stored in is AI Cloud, and all other robots learn it too. When a human being learns something, it is restricted to him unless it is taught to other humans. But in case of robots, it is contrary. Furthermore, the information gained or acquired by one robot is stored in AI Cloud and can be retrieved by another robot in circumstances which requires such knowledge. AI Cloud is the memory of every robot. It is a link of all robots to each other, and even if they are not conversing with each other, they can still know what is going on in the mind of other robots. In 2017, the AI Cloud expanded due to various creations in the field of robotics. Even simple looking devices are robots. They can be present around you in any shape and form and spy you for their operators! Although there are general ethics guidelines famed for the Artificial Intelligence Labs to follow while creating a robot, yet no one can predict future. Now they are inevitably required in all fields, medical, astronomy, sports, mathematics and even traveling around in space where humans are unable to reach! 2017 had been a pertinent year in the machine learning process especially the Artificial Intelligence and robots.

Difference between Kaizen, Lean and Six Sigma


Over the years and even now, people stand unaware of the difference between Kaizen, Lean and Six Sigma. They might be using it frequently, but clueless about the name of the tool they have equipped and the difference between these three.  To dive deeper into the topic about the difference between each of these devices, let’s have a general background about each of these three tools separately which will provide insight to the differences between each as well.

Kaizen means “Change for the better” which is synonymous with continuous improvement. It is the tool that refers to a constant process of development rather than an achieved goal. Kaizen is creative planning in mind, and it not explicitly applied to as a tool. It shows how gradually small things add up to the efficiency of the system and how system improves in a short span with adequate ability. The person adopting these tools needs to look individually at each case and develop an insight to solving those problems, however petty they might be. Masaaki Imai introduced this Japanese term in his book Kaizen, the key to Japan’s Competitive Success in 1986. It has occupied a pertinent position in present era for a more prolonged lifespan of a company and a better way to solve all issues. Many small changes contribute in bringing about substantial change in an organization over time, and it continues to do so. 3MUs permanently identified by Kaizen is Muda (means waste), Mura (means inconsistency) and Muri (means the burden on the capital, people, and machines). It tends to improve business from all of these three aspects, elimination of waste, inconsistent change and boosting efficiency. Moreover, it is a bottom-up approach (means bottom drives the program and activities to the top). The structure of its implementation usually has small group circles like QC circle, QIC, WIT. It uses QC 7 tools and new QC 7 tools.

Lean is another tool which only recognizes Muda; means the waste. Waste is all that junk which does not or cannot contribute towards the betterment of the organization anymore. This wreckage is recognized when they lack value for the customers. Lean manufacturing emerged over the century through many successful and unsuccessful attempts of Ford and Toyota companies in their automobiles.  Hence Lean is more focused on eliminating all the factors that play the role of slag in the business and production, which don’t meet customer satisfaction and are not valued by them. Moreover, it is a top-down approach (means top drives the program and activities to the bottom). The structure of its implementation usually has Lean Teams which solve problems and direct the work. It uses Lean tools like 5S, Kanban, Andon, JIT, TPM, etc.

Six Sigma, on the contrary, recognizes only Mura; which is the inconsistency or variability of different factors in a business. It is a well disciplined and methodical approach for the elimination of defects in a company. It uses two methods known as DMAIC and DMADV, known for Define, Measure, Analyze, Improve, Control and Define, Measure, Analyze, Design, Verify, respectively and are based on the Plan – Do – Check – Act cycle of Deming. This Six Sigma strategy employs advanced statistical techniques like Pareto charts and causes analysis, to reach targeted values. Additionally, Carl Friedrich Gauss introduced the concept of the standard curve which laid down the roots of this strategy. However in 1920’s it was shown by Walter Shewhart that the three sigma deviations from the mean or average is the mark where a process requires correction. Later on, other terms for measurement standards added to Six Sigma factor like Cpk, Zero Defects, etc. but the name Six Sigma assigned by Bill Smith who was Motorola Engineer. This tool focuses more on the end product and digging out the primary purpose of the defects that took place inevitably. Moreover, it is a top-down approach (means top drives the program and activities to the bottom). The structure of its implementation usually has Black, Green or Yellow belts. Lean IT

Hence the difference between all three tools is prominent; it can conclude that all machines have pros and cons, but the best one is Kenzen.

How To Choose The Right College Path

Has it been awhile since you’ve been a student? Are you a traditional student or an older student looking to improve your career chances? Would you like help? No matter your circumstance, the piece that follows is for you. Going back to college is not as hard as it seems. You have the option to fulfill all of your dreams. Keep reading to find out what you should know. Understand that you are worth it.

Always have a bottle of water with you at school. You absolutely must be sure to drink enough water day in and day out. This is even more crucial if your classes run one right after another and you just do not have the time to hydrate or eat. Drinking water frequently during the day can help you remain focused and energized. Easily accessible water fountains now make it easy to refill water bottles.

Keep your limitations in mind when you secure a college job. If you struggle with waking up each morning, don’t set yourself up for failure by choosing morning classes if possible. Know your natural body clock and adapt your schedule to flow with that as much as possible.

Your college might have a course in study skills if you need help. College is different from high school. If you know how to study, you will do better in class.

You should always eat healthy, even when you are at college. Gaining the “freshman 15” isn’t a myth! You have to watch what you eat. Avoid eating too much junk food and fast food. It might seem fast and cheap but adds up over time and doesn’t provide you with the energy a nutritious meal would.

When you’re ready to take a test, make sure you have all necessary testing materials with you. Leaving behind a tool that you need to complete your work may throw off your entire experience. Make sure you have what you need because the teacher may not have supplies for you.

Your success at college may even be affected by where you sit. Don’t sit at the back! Try to sit near the front. This shows your professor that you are involved and serious about your education.

Before you decide on a school, find out how to get to the admissions office and go there. From here, you’ll learn about different scholarship opportunities available for certain schools. Lots of institutions offer students generous scholarships. By talking to someone who works in the admissions office, you can make sure you are taking advantage of all that is offered.

Get at least one of your general education requirements done and finished in your first semester. If there are classes that must be taken in order to graduate, work on knocking those out early to make room for more enjoyable coursework. Besides, you won’t want to be the only senior in a class full of freshmen four years from now.

Have you learned anything from this article? You are capable. You need to realize this. You can earn a college degree at any age. You should not let anyone tell you that it is impossible. Embrace this opportunity. Start working on your degree today. These ideas will help you get on the right track and achieve your goals.

Getting Well Prepared For The College Experience

People looking at college may have lots of questions that they need answered. The college experience is comprised of many elements, and you need to prepare yourself in advance. This article contains advice that can help you get ready.

Be certain you have enough toiletries when you get to college. This is an area that you may not think a great deal about, but you will find toiletries run out quickly. Consider buying in bulk as a means to save money.

Check if there is a study skills class available. Even students that did extremely well in high school may have a hard time adjusting to college expectations. A study skills course will assist you in learning how to study for your college courses.

Keep in mind that you should be eating healthy while in college. The freshman 15 is a real thing. Make sure to be mindful of your eating. Stay away from fast food as much as you can. But fast food can quickly add up to extra pounds and extra money spent.

Devote as much time as you can to studying each day. If you devote yourself to college, you can get the most out of it. Have your fun, but make sure education is at the forefront of your priorities. Your success later in life depends in large part on your success in college.

Your environment may make a difference in whether or not your studying is successful. Your dorm is not typically a good place to study. You may find it preferable to discover a locale that is quiet. Studying in a library is always a great idea. Get some noise-cancelling headphones if you need to.

How well you do in class can even be influenced by where you sit. Sitting in the front row as opposed to the back can have an impact on your grades. This lets you speak to the teacher easily and also hear better.

Get your sleep! Sleep is essential; even though, all night studying and partying may beckon you. When you don’t get the right amount of sleep, you’ll start to become forgetful, irritable, and you aren’t going to get the full college experience.

Get at least one of your general educational requirements done in the first semester. If there is a class that you are not looking forward to that is required for your degree, take it early. That way, you won’t have to deal with it later when you are taking more enjoyable classes. You don’t want to have to take classes with the kids when you’re a senior!

To avoid problems with the freshman 15 or even the freshman 20, be sure to keep a close eye on the amount of simple carbohydrates you consume. Refrain from poor quality snacks or fast food. Instead, try to consume vegetables with your meals and fruits for snacks. Don’t strictly consume protein as doing so is not healthy.

Learning starts even before you set foot in the classroom. The more you learn about what to expect in college, the more confident and capable you will be. There is a lot to college and advice can be really helpful. These tips should help you start making the adjustments college demands. Use these ideas for your benefit.

Must Have Information About Your College Years

Everyone has dreams of partying at college. However, you will have a lot of work to do if you would like to be successful. You will be rewarded for your hard work, and you will still have plenty of time to make new friends. Use this article to learn how to prioritize and have an excellent and fulfilling college experience.

Get yourself a good water bottle to bring to school. Staying hydrated is an important but often-overlooked task. When you aren’t going to be able to eat between classes, this is even more important. Drinking plenty of fresh water is sure to help you remain focused and alert. This is especially important at schools located in warm climates.

If you realize that college is very expensive and you do not have the money to cover it, strongly consider acquiring a loan. College is an investment in your future. You may need to incur a little debt in order to find future success.

Look into grants and scholarships to help you pay for college. There are many unique scholarships out there, including one for left handed people. Also check into forgivable loans and government grants.

Before you embark on a college search, determine the type of career you desire. This means that the school you pick is going to have the courses and degree that you seek. Get in contact with the school’s admissions director to determine if the courses you’ll need to graduate are available at the school.

Visit your campus gym often, no matter your gender. Not only will you get into a good workout routine, but you can meet like-minded people this way. Also, you can find friends to go with to the gym, which can expand your social circle.

Get plenty of sleep. You may want to study all night, but it’s actually harmful to your learning. If you do not get enough sleep, focusing on your work will be hard and your grades will suffer from this.

Learn about cooking and cleaning as these services are not provided at college. You should always eat right and get enough rest. Create a schedule that balances class time, study time, recreation and rest. Eating poorly and being stressed out will make you ill.

Always buy used textbooks if you can. The cost of text books is very high. If you’re paying a lot for college already, you might want to save money when you can. Therefore, search for bookstores, both physical and online ones, that can provide used books. Choosing used books can save you quite a bit.

Used textbooks are the only way to go when on a budget. Textbooks are very expensive and can cost you a fortune if you’re buying them brand new. You will save a lot of money by buying them used.

You probably understand that being successful in college means that you can’t party all the time, regardless of what you might see in television shows or movies. Studying and going to classes should be your main priority. Follow these tips to learn how to have fun and have great success at college.

Get The Most From College Using These Expert Tips

While college is very exciting, it can also prove to be intimidating. You can learn important life skills and work towards your degree at the same time. Going to school and being on your own can be very difficult, but that is the experience that college brings.

Apply to scholarships and other grants early. The more time set aside for obtaining college funds, the less you’ll have to borrow. Be sure to keep track of deadlines and submit applications on time.

Remember that you have to eat healthy foods. Many people gain a few pounds their first semester of college. Pay close attention to what you eat. Avoid eating too much fast food or pizza. It may be convenient, but it will leave you feeling sluggish and unable to concentrate in your classes.

Have everything you need ready when you take a test. Not doing so can make you face a rather difficult disadvantage. Teachers will not always have extras, so don’t forget to bring your supplies to class.

Only study where you can really focus on the materials. It is generally not ideal to study in a dorm room. Instead, look for a quiet area where you will be free from interruptions. Your school library is ideal for this use. Wear noise-cancelling headphones to reduce any external noise when you study.

Eat breakfast on test days. You can even eat light; try some fruit or yogurt. Hunger pangs are devastating to your test performance. Low energy and a noisy stomach can affect your testing abilities, so make sure you eat to stay energized and focused.

Pay off your credit card balance monthly if you have one. If not you will incur late fees and other penalties. Keep in mind that the main reason to have a credit card in college is for emergency use. While you may be tempted to use it for pleasure, understand that you are in college to learn, not play. Having problems with your finances can distract you quite a bit.

You must study everyday to be successful. There are many distractions on campus, but you need to make sure you are studying. You need to spend at least a couple of hours a day to catch up on your studies and do some research. If you feel confident in your understanding of the subject, you should still use that time to study. Habits are easy to form when you put in effort.

When you enter your freshman year of college, don’t assume your status as a high school student will hold much weight with your peers. College will demand different skills and an adjustment period for you to feel comfortable. Remember that college is an entirely different experience than high school. Be prepared to try new things and experiences.

Prepare to get registered for your classes as soon as you can to ensure that you get the courses that you need. By putting it off until the last minute, you are not guaranteed a spot in your desirable class, meaning you may have to wait to take it until the next semester. When you see the class you want, sign for it!

This article has hopefully given you the information you need to make smart choices about college. Just make sure you use what you’ve read and you’ll find smooth sailing from here on out.

Your Success Starts Here: Helpful Tips And Tricks For College

It’s nearly impossible to overemphasize the power of a college education and all it has to offer. You can make more money during your life, can be stimulated intellectually, and you’ll make a lot of social connections that last a lifetime. Read on for tips that can help you make the best decision.

Do overdo your schedule when you start college. If you aren’t a night person, avoid scheduling night classes. Be aware of your natural body rhythms, and set your schedule accordingly if possible.

A loan is a valuable option if you cannot pay for college. Although you probably don’t want to be in debt, college can eventually bring large profits to you in the future. Therefore, it’s probably best you get in a little debt so that your future is as bright as possible.

Have your testing materials handy when it is time to test. Forgetting items like a calculator or some important notes can make you feel nervous or even put you at a disadvantage during the test. The teachers often don’t lend items out, so you have to bring everything with you.

Along with your required course load, make sure you add some extracurricular activities. A variety of activities shows that you have varied interests. This looks good on graduate school applications and your resume. Make sure you only take on what you can handle so your grades don’t slip.

Even the seat you choose can have an impact on how successful you are in your college courses. Be sure to get there early to grab a front row seat! This shows your professor that you are involved and serious about your education.

Make sure to have breakfast. A breakfast of any type will help you stay focused and alert during a test. You may become distracted by hunger pain when taking an exam. Low energy and a growling tummy can really affect your test performance, so make sure to eat well for focus and energy.

If you are attending college in another state or are going to reside on campus, decide if it is wise to bring your vehicle along. It is hard to find parking in a big city. You have to pay for parking, registration, insurance, and gas, and this might be difficult if you do not have a job or are only working part time.

Keep your electives diverse. By exposing yourself to lots of topics, you stand a better chance of determining what it is you truly love. When you are freshman in college, try new things, you never know!

Take frequent breaks. Studying is important, but it is equally important to pace yourself. For every one hour that you spend studying, give yourself a short break of at least ten minutes. Create a schedule that you can stay with.

A college education may seem like it has an endless supply of advantages. Due to that, college interests many, but the path isn’t always clear. Read the advice here, and listen to family and friends who have gone through the same experience. Your future depends greatly on the decisions you make now, so be prepared.

Machine learning

Machine learning is the methodology of data analysis that automates analytical model building referred as machine learning. It is a part of artificial intelligence based on the thought that machines should be able to grasp and adjust to experience. As our world advanced, machine learning has also altered it is the course as well. It initiated from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers intrigued by artificial intelligence wanted to check if computers could learn from data. The motive of machine learning is to fortify that the models which exposed to new data can unconventionally modify.


Machine learning algorithms have been around us for an extended period. The current evolution in this sector is the ability to automatically put in complex mathematical calculations to big data, again and again at a more rapid rate. Following are a few typical recognized examples of machine learning applications:

  • Netflix and Amazon- Online recommendation offers that are machine learning applications for daily life
  • One of the more pronounced, essential uses in the world today is the Fraud Detection.
  • Google car- massively excited and self-driving essence of machine learning
  • Twitter- machine learning combined with linguistic rule creation


Often, machine learning algorithms are supervised and unsupervised. Algorithms which require humans to render both input and the desired output, with embellishing feedback about the precision of predictions during training are known as supervised algorithms. Algorithms which require no preparation with wanted outcome data are the unsupervised algorithms. They use an alternative motive known as deep learning to review data and arrive at closures. Supervised algorithms further classified as:

  • DECISION TREES: this is a decision support tool that uses tree-like graph or model of decisions and their functional outcomes. It constitutes resource costs, utility, and chance event outcomes. In business, a decision tree is the minimum number of yes/no questions that one has to ask to gain the likelihood of making a correct choice.
  • NAIVE BAYES CLASSIFICATION: a family of simple probabilistic classifiers based on applying Bayes’ theorem with strong independent assumptions between the features.
  • ORDINARY LEAST SQUARES REGRESSION: this is a method for performing linear regression. It is a task of fitting a straight line through a set of points.
  • LOGISTIC REGRESSION: It is a powerful statistical way of modeling a binomial outcome with one or more explanatory variables. The association between the dependent variable and independent variables measured by estimating chances using a logistic function.


There are two processes involved in machine learning:

  • Predictive modeling
  • Data mining

These methods ask for searching through the data to look for patterns and modifying program actions correspondingly. Moreover, internet shopping and following ads associated with the purchase has made many people familiar with machine learning. That is due to the recommendation engines that use machine learning to personalize online ad delivery in almost real time. Other machine learning use cases involve:

  • Spam filtering
  • Network security threat detection
  • Fraud detection
  • Building news feeds (for example; Facebook’s News Feed)
  • Predictive maintenance


Several applications of machine learning exist today that drive the kind of real business results, like time and money savings that have an impact on the future of your organization. We encounter significant effects occurring within the customer care industry, whereby machine learning is permitting individuals to attain things more efficiently and rapidly. Machine learning automates tasks, through Virtual Assistant solutions, that would otherwise need to be performed by a live agent; for example, checking an account balance or changing a password. Valuable agent time can be saved and used to focus on the kind of customer care that humans perform best: complicated decision making and high touch; both of which not easily attained through a machine.


With machine learning large chunks of data can be analyzed, simplifying the tasks of data scientists in an automated process. Machine learning is gaining a lot of position and recognition because it has altered the way data extraction and interpretation works by including automatic sets of generic methods that have substituted the traditional statistical techniques. Today we have new technologies in the field of machine learning that have enabled an extraordinary research effort in Deep Neural Networks (DNN). That is an outcome of much faster computers and thousands of researchers contributing incremental advancements.

To learn how to program Machine Learning Algorithms, check out the basis of C# Programming with our C#  Programming Course