Digital Marketing is growing at a great speed, and with a great opportunity

Digital Marketing is a buzz all around and has already created a boom in the market. What exactly the Digital Marketing term is? How it came into existence? There are so many queries revolving around that I will try to resolve today. Well, wrapping up this vast sector in a small article is a hard nut to crack but I will put my best to assure you that after reading this article, you will definitely be able to realize the potential of digital marketing.


Digital Marketing is growing at a great speed, and with great speed comes great opportunity. Yes, exactly, now every stakeholder, organization, and enterprise(small and big both) are running behind the best digital marketing techniques to implement on their business. Okay, first let me brief you in short about what this buzzword means? Digital Marketing refers to promoting or advertising your brand via digital channels like social media, search engines, mobile apps, emails.


As the need of behemoth digital marketing is elevating like never before, opportunity for job seekers and career oriented people is also taking a new shape. Most of the people are in illusion that digital marketing is all about promoting products on social media, but believe me, there is a lot to dive into about it.


Digital Marketing has limitless options to make it as a profession of great worth. There are big profiles like SEO Analyst (SEO Executive, SEO Expert), Content Marketer (sub-categories include Content Writer, Content Editor, Blogger, Proofreader, Copywriter, etc), Email Marketer, Social Media Marketer, PPC/SEM Expert. Other roles include Analytics Manager, CRM Manager, E-Commerce Manager, Digital Agency Account Director, Conversion Rate Optimizer, Search Engine Marketer, Inbound Marketing Manager, Digital Marketing Manager, and the list is long enough to get through.


There is something for everyone looking for a great career in digital marketing. Yes, those who love writing can go for Content Writing. People who are obsessed with social media can do social media marketing for various brands. If you think, you have an eminent skill for analysing things and making decisions, then, you can run Google Adwords campaign for a variety of big or small brands.


Well the salary package depends on the role you choose, and also it depends on the organization that how much it is ready to pay for a particular role. But, one thing is for sure that you will earn far better than other competitive professions. As digital marketing is the most followed trend, a modernized form of branding and promoting, and most of all cost effective; it brings you prominent and huge options in grooming your career as a pro.


And guess what? To kickstart your career in digital marketing, the prerequisite is to get a hardcore training to learn all the latest strategies about how digital marketing can turn up the value and income of any organization. We, School of Digital Marketing Pvt. Ltd., are a well-established, trusted and oldest digital marketing institute in pune who can mould you like a peerless digital marketing expert to step-up your career to beat the current market. Join us if you are hunting for some good digital marketing institutes in cities like Pune, Bangalore, Nashik, Thane, Nagpur, Vashi, Navi Mumbai, Delhi.

Should a machine learning beginner go straight for deep learning?

Artificial Intelligence is a buzzword which is on a voyage to replace most of the human work efforts in the subsequent upcoming years. It is a giant circle of a pool of various applications to make a machine intelligent.

Machine learning is a one of the subsets of AI. Representation learning is a subset of Machine learning. And Deep learning is the crux of Representation learning. Hence, going into deep learning before getting an overview of Machine learning can be non-fruitful. Although, it depends on your end goal for which you started the subject. Why do you even want to learn machine learning and its subclasses?

To answer your question, yes! You can start directly with deep learning as well, but it will need some basics of machine learning. Deep represents a dense network with number of layers. It is teaching machine to actually learn like humans, self-adapt and sustain. Deep learning does not require manual input of anything. It needs a large number of data or “big data.” Big data is a separate theory that you will need to understand about before you kick start with deep learning.

Deep learning is inspired by human nature and has feature detection applications. The base of deep learning is neural network present at different layers. Deep learning is a buzz because it’s uniqueness of using human brain and neural coding as a basis to make computer identify, classify and make use of the stimulus/stimuli given to it.

Professionals recommend the learning path of machine learning to be followed first.  Basics of mathematics like algebra and probability, a bit of statistics, python and probably a basic course implementation of machine learning is suggested.

There is this book named Deep learning Book by Goodfellow, Bengio and Courville, which takes you to deep learning via the basics. This can be a presumed shortcut to directly jump to deep learning without learning much about machine learning. Bayesian Deep learning is another aspect crucial to deep learning protégé.

Although, as the protege is shifting towards the practical approach to study, the competition among Machine learning crash courses and machine learning classes will be at its peak. Practical knowledge par with your limits of imagination and capacity to think. The whole AI and ML and deep learning are things more of a buzz rather than people actually working on it. If you are really interested in the mechanisms, start reading theories and implementing algorithms now.


The School of Digital Marketing is here with certified training on Artificial intelligence and machine learning courses in Pune.

How should one start learning about AI and machine learning?

AI is definitely the future. Machine learning, being the current application of artificial intelligence, is based on the idea to give the computer access to data and make them learn themselves. There are obviously various ways to start.

These are the steps you are suggested to follow:

  • KNOW THE STRUCTURE: Machine learning and AI as a whole, have a crux known as data science. So, before getting into deeper nodes of this web, you must start with the basics. To apply machine learning, you got to answer these questions; what to achieve and why to achieve it. Collection, storage and analysis of data using SQL and python will be helpful. This can be done using online study materials.


  • ANALYSE THE DATA: Next, jump to the most important characteristic of machine learning course, mathematics. Clear the basic concepts of statistics, probability and calculus as well. You can start with Khan Academy course on python statistics, covering various topics. You have to pull up resources, and try to make best use out of them.


  • ALGORITHMS: Once you are familiar with what and why, you must start input your time in theory and algorithms that are used while you are creating a specific application of machine learning. Start with regressions, decision trees, Bayesian models and you will be choosing algorithms based on them.


  • IMPLEMENTATION: Once you are clear with basics and algorithms, start implementation of it. Start learning the python libraries that you must use and will be using to apply the theories you learned. You will get everything piled up in scikit learn, best API with simple and efficient set of tools for data mining and analysis. There are a bunch of libraries to start with like numpy, Matplotlib, Pandas etc.


  • TARGET: Machine learning is more about practical application rather than theory. So, once you are clear with the fundamentals, select an application and start exploring about it. You might need to read and learn something extra down the line, but your knowledge will be practical based. Take up projects, set deadlines and start exercising whatever you learnt.


There are two broad perspectives of getting into AI and machine learning; first, the API and second, the algorithms. These two prospects are hardly covered when you start an online course or you read a book. The best way to gain knowledge is by execute it in practical ways. Various Machine learning classes in Pune have been opened since.

The School of Digital marketing has shown interests in AI and Machine learning and is ready to make you master in the applications, projects and implementations of machine learning in the market. You can visit our website and know more about other details in case you show interest in joining the course.

Some recommendations to start from:


Bayesian Reasoning and Machine learning by David Barber

Machine learning: A probabilistic perspective by Kevin Murphy

Data science from scratch: First principles with Python by Joel Grus’

MOOCs (Massive open online courses)

Andrew Ng Machine learning at coursera

Sebastian and Katie at Udacity

The school of Digital Marketing is here with certified training on Artificial intelligence and machine learning courses in Pune.

5 Free Must-Read Books for Machine Learning and Data Science

 1. Python Data Science Handbook

By Jake VanderPlas

The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A Whirlwind Tour of Python: it’s a fast-paced introduction to the Python language aimed at researchers and scientists.

  1. Neural Networks and Deep Learning
    By Michael Nielsen

Neural Networks and Deep Learning is a free online book. The book will teach you about:

  • Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data
  • Deep learning, a powerful set of techniques for learning in neural networks

Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neural networks and deep learning.

  1. Think Bayes
    By Allen B. Downey

Think Bayes is an introduction to Bayesian statistics using computational methods.

The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics.

Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops.

  1. Machine Learning & Big Data
    By Kareem Alkaseer

This is a work in progress, which I add to as time allows. The purpose behind it is to have a balance between theory and implementation for the software engineer to implement machine learning models comfortably without relying too much on libraries. Most of the time the concept behind a model or a technique is simple or intutive but it gets lost in details or jargon. Also, most of the time existing libraries would solve the problem at hand but they are treated as black boxes and more often than not they have their own abstractions and architectures that hide the underlying concepts. This book’s attempt is to make the underlying concepts clear.

  1. Statistical Learning with Sparsity: The Lasso and Generalizations
    By Trevor Hastie, Robert Tibshirani, Martin Wainwright

During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. This book describes the important ideas in these areas in a common conceptual framework.

Machine Learning Is the Future of Marketing. It is one of the booming technologies in today’s date. If you are looking for machine learning courses in pune then you can visit Its-120 hour’s certification course providing in-depth exposure to Data Science, Big Data, Machine and Deep Learning.

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Top 5 Recent Research on Machine Learning and Deep Learning

Machine learning and Deep Learning research advances are transforming our technology. Here are the 5 most important (most-cited) scientific papers that have been published since 2014, starting with “Dropout: a simple way to prevent neural networks from overfitting”.

Machine learning, especially its subfield of Deep Learning, had many amazing advances in the recent years, and important research papers may lead to breakthroughs in technology that get used by billions of people. The research in this field is developing very quickly and to help our readers monitor the progress we present the list of most important recent scientific papers published since 2014.

1. Dropout: a simple way to prevent neural networks from overfitting, by Hinton, G.E., Krizhevsky, A., Srivastava, N., Sutskever, I., & Salakhutdinov, R. (2014). Journal of Machine Learning Research, 15, 1929-1958. (cited 2084 times, HIC: 142 , CV: 536)

2. Deep Residual Learning for Image Recognition, by He, K., Ren, S., Sun, J., & Zhang, X. (2016). CoRR, abs/1512.03385. (cited 1436 times, HIC: 137 , CV: 582).
Summary: We present a residual learning framework to ease the training of deep neural networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth.

3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, by Sergey Ioffe, Christian Szegedy (2015) ICML. (cited 946 times, HIC: 56 , CV: 0).
Summary: Training Deep Neural Networks is complicated by the fact that the distribution of each layer’s inputs changes during training, as the parameters of the previous layers change.  We refer to this phenomenon as internal covariate shift, and address the problem by normalizing layer inputs.  Applied to a state-of-the-art image classification model, Batch Normalization achieves the same accuracy with 14 times fewer training steps, and beats the original model by a significant margin.

4. Large-Scale Video Classification with Convolutional Neural Networks , by Fei-Fei, L., Karpathy, A., Leung, T., Shetty, S., Sukthankar, R., & Toderici, G. (2014). IEEE Conference on Computer Vision and Pattern Recognition (cited 865 times, HIC: 24 , CV: 239)
Summary: Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by these results, we provide an extensive empirical evaluation of CNNs on large-scale video classification using a new dataset of 1 million YouTube videos belonging to 487 classes .

5. Microsoft COCO: Common Objects in Context , by Belongie, S.J., Dollár, P., Hays, J., Lin, T., Maire, M., Perona, P., Ramanan, D., & Zitnick, C.L. (2014). ECCV. (cited 830 times, HIC: 78 , CV: 279) Summary: We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding. Our dataset contains photos of 91 objects types that would be easily recognizable by a 4 year old. Finally, we provide baseline performance analysis for bounding box and segmentation detection results using a Deformable Parts Model.

Machine Learning Is the Future of Marketing. It is one of the booming technologies in today’s date. If you are looking for machine learning courses in pune then you can visit Its-120 hour’s certification course providing in-depth exposure to Data Science, Big Data, Machine and Deep Learning.

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Why School of Digital Marketing has the Best Digital Marketing Course in Noida?

It’s a matter of proud for Noida people that Noida was ranked as the Best City in Uttar Pradesh and the Best city in Housing in all India in “Best city Awards” that was conducted by ABP News in 2015. Moreover, Noida has also emerged as a hot spot for IT. The best city of course needs everything finest, then why not a supreme Digital Marketing Institute? Digital marketing plays the key role in any business to make it win in the long run. The primary reason behind the need of a good Digital Marketing Institute in Noida is the sheer rise of online marketers in almost every business domain. Hence to groom up the knowledge in digital marketing, a well-structured digital marketing course is needed. You will get a fair number of digital marketing institutes in Noida but we will explain you why School of digital Marketing is best among all. Why School of Digital Marketing has the best digital marketing course in Noida?

It’s quite interesting to know that you can target the market of 3+ billion internet users if you become a pro in digital marketing. Have you heard about the job positions like Digital marketing Executive, Search Engine Analyst, Social Media Expert, Inbound Marketing Manager, Web Analyst? You can fetch any of these posts if you have a deep and loyal knowledge about digital marketing, no matter whether you are a fresher, professional in marketing or a person looking for some great opportunity in digital marketing. School of digital Marketing is one of the trusted digital marketing institutes in India. It delivers you a tremendous and highly interactive classroom training guided by Google certified and Industry Experts. School of Digital Marketing has flexible batch timings aimed to not to disturb your schedule and that too with an unbelievable and affordable fees. And guess what? You get to work on live projects and also you will be provided 100% job assistance.

The course content has Search Engine Optimisation, Web Analytics, Social Media Marketing, Email Marketing, Mobile SEO, Local SEO, and many other modules even from advanced level. You will be provided Digital Marketing certifications once you complete the course. You can first attend the demo lecture to see the teaching flow. If you still in doubt that Why School of Digital Marketing has the best digital marketing course in Noida, then read about us on many blogs and posts recommending us to have the best of digital marketing in all over India. Contact us for any doubt or simply just enroll with us and give a boom to your digital marketing career.

Which is the best place to learn digital marketing course in Noida?

Being an IT hub, Noida has always been one of the best sources of jobs for fresher and experienced both. But do you know apart from IT, there is an emerging opportunity to make career and earn in dollars or millions rupees? It is none other than but Digital Marketing. Digital Marketing has a wide scope in terms of grooming career and expanding any business.  The digital platform has become the most prominent medium from promoting brands to build any marketing domain. The rising demand of digital marketing has pushed people to take some advance courses in digital marketing in Noida & Delhi. So, if you re thinking Which is the best place to learn digital marketing course in Noida & Delhi, look no further and step into our institute at your city Noida.

School Of Digital Marketing has trained 8000+ students helping them taking their career to an advanced level. Being one of the best digital marketing institutes in Noida & Delhi, School of Digital Marketing holds the best placement record in some of the top companies. You get 100% job assistance and golden chance to work on live projects once you join us. The demo lecture is free to give you a feel of our training system with best flexible timing for our students to suit their schedule. You get to learn from industry experts and Google certified trainers who give their blood and sweat to build you sturdy while dealing with any marketing challenge.

The course contains Search Engine Optimization (SEO), Social Media Marketing (SMM), Search Engine Marketing (SMM), Web Analytics, Email Marketing, Local SEO, Mobile SEO, Lead Generation, and much more with some advanced content as well. You can call us any time to ask for a demo lecture or regarding any query. We assure you the best training with best trainers with interactive environment and all of this at an affordable price. So, still if you are in some doubt about  Which is the best place to learn digital marketing course in Noida, scroll through some blogs and posts talking about us and recommending as one of the best digital marketing institutes of India.

Meta Description Decreased from 320 to 160. Google Confirms

Google has confirmed that it has now decreased the length of these snippets. Danny Sullivan of Google wrote, “Our search snippets are now shorter on average than in recent weeks.” He added that they are now “… slightly longer than before a change we made last December.”

Sullivan said, “There is no fixed length for snippets. Length varies based on what our systems deem to be most useful. He added, Google will not state a new maximum length for the snippets because the snippets are generated dynamically.

Desktop at around 160 characters, down from around 300+ characters…while mobile characters for the search results snippets are now down to an average of 130 characters


Which are best digital marketing Training classes in Nashik?

School-of-digital-marketing-logoIf you are looking for Digital Marketing Training institutes in nashik then here is a list of institutes.


School of Digital Marketing in Nashik

School of Digital Marketing is one of the best leading Digital Marketing training institutes in Pune, PCMC, Thane Mumbai & Nashik with 100% job assistance, specializing in digital marketing. Their experienced faculty members are Google certified industry experts in marketing small and medium businesses using Digital Marketing. They offer their students interactive digital marketing classroom training and a chance to work on live projects. They also guarantee premier job placements and 100% job assistance to all their students on completion of the digital marketing course. They have flexible batch timings which allow students to make the most of their program.

Madz Media Edu

Madz Media Edu, one amongst India’s leading Digital Marketing Training providers in Nasik. They provide personalized Digital Marketing Workshops for corporate institutions, who definitely are excited about taking their organizations to the next stage by leveraging Digital Advertising.

Engeniuspark Technologies is one of the growing and leading IT firm from Nashik, India. The company is headed by young entrepreneurs with a prime goal to offer satisfactory technological solutions efficiently and cost effectively. Engeniuspark Technologies is a recognized Software Development company that builds advanced solutions for the corporate sector, financial services, hospitality, education and Aviation.

Internet Swaggers

Vineet Waghmare is Google Certified Educator Who has trained more then 100+ students, having more than 6 years of Experience in the Field of Blogging, Digital Marketing, Digital Marketing Consultant had consultant for FMCG, Software Development and startup companies. They promise to deliver the best of  experience, Industrial Knowledge. they owe up to your expectation.

Digital Skill Port

Digital Skill Port is a leading Digital Marketing Training Institute, offering all digital marketing modules learning with conceptual in-depth theory, practical, assignment development and case studies on 4 live projects.


google snippets
Study: 80% of Google Home results come from snippets

But they aren’t always the source of answers for Google Home

google snippets

Digital agency ROAST has released a Voice Search Ranking Report (registration required), which seeks to categorize and understand how Google processes and responds to voice queries. It also tries to determine when Google Home uses featured snippets/Answer Box results and when it does not.

The company used keyword analytics to compile a list of “616 key phrases in the UK featuring snippet answer boxes.” It then determined the top phrases by query volume across a range of verticals (e.g., medical, retail, travel, finance). The tests were run in November and compared Google Home and traditional search results.

The study sought to answer the following questions:

How many of the key phrases were answered [on Google Home]?
Do the answers given match the answer boxes’ results?
Which key phrases prompt Google not to user answer boxes?
Can we compare visibility on voice search to answer boxes? Is there a difference?
In the majority of cases, the Google Home result mirrored the snippet/Answer Box, according to the study. But in a number of cases, when there was a snippet, Home provided no answer or a different answer.

Comparing Desktop Search Results with Google Home

I didn’t do any testing of ROAST’s findings, but in two ad hoc cases where the company said there was no answer, my questions received the same answer featured in the snippet. It’s also the case that rephrasing questions can yield results that initially received an “I can’t help with that yet” response.

The report grouped Google Home answers into six different categories:

Standard answer (referencing a source/domain, the most common type of response).
Location result.
Action prompt (suggestion).
Flight search.
Similar question (“I’m not sure, but I can tell you the answer to a similar question”).
Google Home answered just under 75 percent of the queries in the test. When Home provided an answer, roughly 80 percent of answers were the same as the Answer Box, according to ROAST. In 20 percent of those cases, however, answers came from different data sources (e.g., local, flight search).

There’s more detailed discussion of these findings in the report. However, here are ROAST’s verbatim conclusions:

Just because you occupy the featured snippet answer box result, doesn’t mean you own the voice search result. Sometimes the assistant won’t give any answer or it references a different domain.
Watch out for key phrases where Google doesn’t use answer box information for results — for example, fights, locations, actions.
Google My Business is key to any local related searches.
You need to start to develop a key phrase list specifically for tracking in voice search reports — this list will be different to your normal key phrase list for search.
ROAST says it intends to produce more such reports in different verticals in 2018. I would also encourage others to do similar testing to add more insight to the conversation.

Article Source: Search Engine Land