Prerequisites to learn Artificial Intelligence

In this post you will know what are the things should know to learn AI. You should know one programming language and must have sound knowledge on Mathematical, statistics  etc..

Artificial Intelligence or AI is the term used for the ability of a computer program or a machine to learn. This learning enables the program to think, decide and do work based on pre-programmed instruction sets.
In the field of research and analysis AI is used. Its very import in the current time of Big Data also.

What are prerequisites for learning Artificial Intelligence?
Let's see the prerequisites for learning exciting Artificial Intelligence technologies.

1.     Strong hold over python,R,Scala
2.     Very good Statistical Knowledge and some of the books that i would recommend would be
3.     A Probabilistic Theory of Pattern Recognition
4.      Advanced Engineering Mathematics
5.      Probability and Statistics Cookbook
6.     Some books on Machine Learning like
7.     An Introduction to Statistical Learning (with applications in R)
8.     Probabilistic Programming and Bayesian Methods for Hackers
9.     Bayesian Reasoning and Machine Learning
10.     And most important is continuous learning.
11.     Having good knowledge of python libraries like sklearn,pandas,numpy.

How long it will take to complete Course?

In my opinion, learning AI it it not a matter of 4 hours or 1 hour crash course, it will take around 6 to 8 months to become expert in it. One weapon is to become expert is continue learning and keep practice.

Where i can learn AI?

I strongly recommended learn AI from Professionals through online. My favorite websites are Edx and Coursera. 

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IT Skills in Demand for the Next 5 years

In this post i brought a very interesting topic that is what are the most demanding skills for the next 5 to 10 years in IT industry to survive long time. After a long Research and Analyse i list out some of the most demanding IT sills for the next 5 Years. They are

Computer Science related skills:

·         Machine Learning and Artificial Intelligence (AI)

·         Data engineering

·         Cyber Security

·         Cloud computing

·         Blockchain

·         Internet of Things (IoT)

·         Extended Reality (AR and VR)

·         Quantum computing

·         Python, Web development and Game development.

·         Digital Marketing

·         Mobile Application Development

·         How to write efficient code within deadlines.

Soft Skills:

·         Mental elasticity and ability to solve complex problems

·         Creativity

·         Communication skills, especially verbal.

·         Adaptability

·         Leadership and Social-media Marketing

Other Skills:

·         How to work in pressure.

·         Responsibility and ethics.

·         Teamwork and also, how to work alone.

·         Thinking skills (critical thinking, problem-solving, creativity, originality, strategizing)

·         Management skills.

·         Persistency.

·         Adaptability or flexibility

·         Ability to put Ego aside.

·         Emotional intelligence.

Top Trending Software Technologies in 2019

In this post you will know Top Trending and Feature Software Technologies. The following are the Top Technologies.

   1. Artificial Intelligence :
        AI refers to computers systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns and decision making. AI can do these tasks faster and more accurately than humans.The number of jobs in AI will number 23 million by 2020.

  2.  Machine Learning :

        

Machine Learning is a subset of AI. The Machine Learning market is expected to grow to $8.81 billion by 2022. In 2017, the median salary for a machine learning engineer was $106,225. Machine Learning jobs include engineers, developers, researchers, and data scientists.

3.     Blockchain Technology :

        

In the simplest of terms, it can be described as data you can only add to, not take away from or change. The term “chain” because you’re making a chain of data. Not being able to change the previous blocks is what makes it so secure. Mostly related to cryptocurrency. The average yearly salary of a block-chain developer is about $130,000.

4. Virtual and Augmented Reality

Augmented reality (AR) adds digital elements to a live view often by using the camera on a smartphone. Examples of augmented reality experiences include Snapchat lenses and the game Pokemon Go.

5. Cyber Security:

This is a big one. In 2018, there have been quite a few huge hacks: Quora, Facebook, and Marriott. In the case of the last one, the data of approximately 500 million users were exposed – how bad does it sound?

There is a controversy about the state of the cybersecurity. Some people claim that companies need to have stricter punishments for the breaches or they should implement better security practices. However, as one of the engineers from Silicon Valley says, Google and Facebook have some of the best security teams in the world. So how can the problem of cybersecurity be fixed?

In its report, Wipro names Machine Learning & AI and Security Design & Architecture to be the top two security competencies for the upcoming years. As well, the company emphasized the importance of focusing on the following areas of cybersecurity:

6. Internet of Things :

    The number of IoT devices reached 8.4 billion in 2017 is and expected to reach 30 billion devices by 2020.Thus, as number of devices increase, the jobs will also increase.

Best Programming Languages for AI Development

In this post you will know the top programming languages for Artificial Intelligent Development. Artificial Intelligence (AI) is the study of computer science which focuses on developing software or machines that exhibit human intelligence. Developing computer systems that equal or exceed human intelligence is the crux of artificial intelligence. AI has had some success in limited domains.

The central goals of AI research are reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects. General intelligence is among the field’s long-term goals. Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI which includes various versions of search and mathematical optimization, logic, and methods based on probability and economics. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy, neuroscience and artificial psychology.

Here are the top 3 programming languages for building AI :

1. Python:

One of the leading languages used for developing AI Projects is Python which is because of its simplicity and easy coding behavior and is especially used in health-related startups involving AI.The Python community has developed a lot of libraries and extensions to handle most common tasks used in AI projects like Plotting Graphs, Processing Data etc easily. There are also packages available for almost all AI components ranging for Bayesian Networks to Artificial Neural Networks. Mostly AI developers suggest Python for Artificial Intelligence development.

Best features of Python:

• Practical versions of libraries. (tensorflow, numpy, VTK, Simple AI)
• Open Source Libraries. (Numpy, Matplotlib)
• Great Framework. (scikit-learn)
• Effortless prototyping and building of apps.
• Easy to learn.
• Open Source.
• Modular programming.
• Fast testing

2. JAVA

Java is in the top five because of its familiarity and easy to use features. This OOP language allows easy coding of algorithms which covers the major part of AI. It is portable and it offers inbuilt garbage collection. AI is closely connected with search algorithms, genetic programming and the use of artificial neural networks. Java in artificial intelligence sphere may be more than useful. Programming AI in Java has many benefits as it is easy to use, easy to debug, facilitates visualization and has better user interaction. Another reason for programming AI in Java is the incorporation of Swing and SWT. These features make graphics and interfaces look appealing and sophisticated. Java is good but not as fast as C ++.

Best features of JAVA:

• Strong Libraries. (Weka, Mahout)
• Easy usability.
• Scalability.
• In-built Garbage Collection.
• User interaction.
• Fast.

3. C++

The very reason C++ is used in AI solutions is its speed; it is probably the fastest language out of all. Therefore, whenever speed is the prime concern of any AI developer, C++ is opted.Statistical AI techniques such as neural networks are common examples of this. Its ability to talk at the hardware level enables developers to improve their program execution time. C++ is extremely useful for AI projects. Algorithms are written extensively in the C++  for speed execution. AI in games is mostly coded in C++ for faster execution and response time.

Best features of C++:

• Speed.
• Easy to learn.
• Real world implementations.
• Genetic Algorithms
• Neural Network Implementations.
• Mission Critical Systems