Memory is one of the biggest challenges in deep neural networks (DNNs) today. Researchers are struggling with the limited memory bandwidth of the DRAM devices that have to be used by today's systems to store the huge amounts of weights and activations in DNNs.
Source: Ghraphcore
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Companies Allocate More Than $650 Million Annually to Fuel the AI Talent Race, Investment from Amazon Nearly 600% and Google Nearly 300% More Than Average
Source: Globenewswire10743
Google has been improving Gboard with the same type of tools it uses for speech recognition: machine learning. The budding technology is rapidly becoming a ubiquitous method for improving results and performance.
Source: Google6597
Neural networks are perhaps one of the most exciting recent developments in machine learning. Got a problem? Just throw a neural net at it. Want to make a self-driving car? Throw a neural net at it. Want to fly a helicopter? Throw a neural net at it. Curious about the digestive cycles of your sheep? Heck, throw a neural net at it. This extremely powerful algorithm holds much promise (but can also be a bit overhyped). In this article we'll go through how a neural network actually works, and in a future article we'll discuss some of the limitations of these seemingly magical tools.
Source: Berkely7731
Microsoft today launched version 2.0 of what is now called the Microsoft Cognitive Toolkit. This open-source toolkit, which was previously known as CNTK, is Microsoft's competitor to similar tools like TensorFlow, Caffe and Torch,
Source: Microsoft5970
Facebook's deep-learning artificial intelligence systems have learned to recognize your friends in your photos, and Google's AI has learned to anticipate what you'll be searching for. But there's no need to feel left out, even if your company's computers haven't learned much lately.
Source: IEEE Spectrum7551
AI is defined by many terms that crop up everywhere and are often used interchangeably. Read through to better know the difference between AI, Machine Learning, and Deep Learning.
Source: Edgylabs7821
Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science.
Source: The Next Platform15495
Google's DeepMind team has developed a way for their AI to be able to create images from sentences. The more detailed the sentence, the more detailed the resulting image will be.
Source: Futurism12234
Scientists have created an artificially intelligent system that is capable of producing cutting edge paintings that some consider to be better than works created by humans. How do the paintings, and other AI creations, relate to seminal criticisms of modern art?
Source: Futurism12882
Yes, most faculty, graduate students, and a lot of engineering teams in industry have already abandoned everything else and shifted to deep learning. Most new graduate students in applied areas such as computer vision that I meet, know nothing about probabilistic graphical models for instance, and their proposed solution to any problem is a CNN/LSTM/GAN.
Source: KDnuggets8151
From Alexa and Siri to countless chatbots and automated customer support lines, computers are gradually learning to talk. The only trouble is they are still very easily confused.
Source: Technologyreview7560
What is artificial intelligence? Why is it important? Why is everyone talking about it all of a sudden? If you skim online headlines, you'll likely read about how AI is powering Amazon and Google's virtual assistants, or how it's taking all the jobs (debatable), but not a good explanation of what it is (or whether the robots are going to take over). We're here to help with this living document, a plain-English guide to AI that will be updated and refined as the field evolves and important concepts emerge.
Source: Quartz9291
Computer scientists have developed artificial intelligence that can outsmart the Captcha website security check system.
Source: BBC News6657
Despite all of the arguably worthwhile hype over artificial intelligence (AI) and artificial neural networks, current systems require huge quantities of data to learn, and experts have become increasingly concerned that future systems will, too
Source: Futurism15102
Automatic language translation has come a long way, thanks to neural networks-computer algorithms that take inspiration from the human brain.
Source: Sciencemag9114
Computer scientist Jeff Dean is an icon at Google. The senior fellow co-designed and co-implemented five generations of Google's crawling indexing and query Âretrieval systems.
Source: The Australian11574
Artificial neural networks are computational models which work similar to the functioning of a human nervous system. There are several kinds of artificial neural networks.
Source: HOB9675
Nothing takes the place of meaningful and substantive study, but these cheat sheets (that's really not a great term for them) are a handy reference in a pinch or for reinforcing particular ideas. All images link back to the cheat sheets in their original locations.
Source: Kdnugget24771
I hope to clarify some processes to attack DL problems and also discuss why it performs so well in some areas such as Natural Language Processing (NLP), image recognition, and machine-translation while failing at others.
Source: Kdnugget10503
This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.
Source: Kdnugget35541
This is a collection of 5 deep learning for natural language processing resources for the uninitiated, intended to open eyes to what is possible and to the current state of the art at the intersection of NLP and deep learning. It should also provide some idea of where to go next.
Source: Kdnugget15663
This post may come off as a rant, but that's not so much its intent, as it is to point out why we went from having very few AI experts, to having so many in so little time.
Source: Kdnugget41139
In this blog post, I want to share the 8 neural network architectures from the course that I believe any machine learning researchers should be familiar with to advance their work.
Source: Kdnugget37827
In this blog, we will understand commonly used neural network and Deep Learning Terminologies. As these are the most important and the basic to understand before complex learning neural network and Deep Learning Terminologies.
Source: Data Flair18549
Deep Learning is constantly evolving at a fast pace. New techniques, tools and implementations are changing the field of Machine Learning and bringing excellent results.
Source: Kdnugget20280
Deep learning emerged from that decade's explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.
Source: Kdnugget9963
There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.
Source: Kdnugget13596
Here, I will present efforts being made to make Deep Learning (part of Machine Leaning) more user-friendly, so that it becomes easier to use by companies. Hopefully these efforts will help reduce the "struggle" faced by companies when they dip in the depths of Deep Learning.
Source: TDS12927
While answering a posed question in his recent Quora Session, Yann LeCun also shared 3 high-level thoughts on why deep learning works so well.
Source: HOB10389
Today's paper offers a new architecture for Convolution Networks. It was written by He, Zhang, Ren, and Sun from Microsoft Research.
Source: HOB10161
There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.
Source: HOB12294
Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.
Source: HOB17670
Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.
Source: HOB10920
Deep Learning is changing the way we look at technologies. There is a lot of excitement around Artificial Intelligence (AI) along with its branches namely Machine Learning (ML) and Deep Learning at the moment.
Source: HOB25428
The rise of artificial intelligence in recent years is grounded in the success of deep learning. Three major drivers caused the breakthrough of (deep) neural networks the availability of huge amounts of training data, powerful computational infrastructure, and advances in academia. Thereby deep learning systems start to outperform not only classical methods, but also human benchmarks in various tasks like image classification or face recognition. This creates the potential for many disruptive new businesses leveraging deep learning to solve real-world problems.
Source: HOB10059
For beginners and students to have better understanding about the emerging technologies and charity about the artificial intelligence, one need to understand the basic terms, concepts related to it.
Source: HOB6198
So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn't believe that at all. So the next day I set out to play with Keras on my own data.
Source: HOB16773
We have seen how accurately Facebook recognizes faces of our friends when tagged two or three times and suggest their name to tag in a post where they are in picture with us. With the help of machine learning face recognition can be done much like as human do.
Source: HOB9111
MIT has developed a new artificial intelligence system that can detect human's pose and movement behind wall using radio signals. This can have positive impact in healthcare to track elder patients but at the same time it can have many privacy related issues.
Source: HOB7479
Beginners in artificial neural networks (ANNs) are likely to ask some questions. Some of these questions include what is the number of hidden layers to use?
Source: HOB10164
Although much progress has been made in recent years, cancer remains one of the most dreaded diagnosis. For many types of cancer, current treatment options only alleviate symptoms or stop working after a while, only delaying the inevitable for a few months.
Source: HOB3567
AI is not the new technology it is very broad concept and comprises a set of powerful technologies that are emerging under it like deep learning, Reinforcement Learning and Facial Recognition and many more. AI is trending these days and yes it is the future.
Source: HOB11601
I would like to live in a world whose systems are build on rigorous, reliable, verifiable knowledge, and not on alchemy. Simple experiments and simple theorems are the building blocks that help understand complicated larger phenomena.
Source: HOB15906
A free online book explaining the core ideas behind artificial neural networks and deep learning (draft), with new chapters, added every 2-3 months.
Source: HOB6954
Aaron Edell is a co-founder of Machine Box - a machine learning startup designed to make it easy to start building things with machine learning.
Source: HOB45177
Who's on top in usage, interest, and popularity? Deep learning continues to be the hottest thing in data science. Deep learning frameworks are changing rapidly. Just five years ago, none of the leaders other than Theano were even around.
Source: HOB36828
Writing a machine learning algorithm from scratch is an extremely rewarding learning experience. We highlight 6 steps in this process.
Source: HOB4986
Deep learning is an increasingly popular subset of machine learning. Deep learning models are built using neural networks. A neural network takes in inputs, which are then processed in hidden layers using weights that are adjusted during training.
Source: HOB16623
If we all see just few years back that Deep Learning is not much popular but now this is evolving and got equal importance to Machine Learning and Artificial Intelligence. And now deep Learning is used in many applications like Speech recognition, image recognition, finding patterns in a data set, object classification in photographs, character text generation, self-driving cars and many more.
Source: HOB24834
As part of my personal journey to gain a better understanding of Neural Network in Python, I've decided to build a Neural Network from scratch without a deep learning library like TensorFlow. I believe that understanding the inner workings of a Neural Network is important to any aspiring Data Scientist.
Source: HOB47187
Artificial Intelligence, Data Science, and Machine Learning all are very popular technologies in this technological world. All companies are leveraging these technologies and getting best out of it and Tensor Flow, Google's Machine Learning API, which are used to develop the Rank Brain algorithm for Google Search.
Source: HOB6933
Getting learners to read textbooks and use other teaching aids effectively can be tricky. Especially, when the books are just too dreary.
Source: HOB44859
Books are very useful resource for the learners and every learner always search for the best books to gain insights and here we have the collection of popular deep learning books which are recommended by experienced professionals to read.
Source: HOB14301
Deep learning is one of the hottest topics of this industry today. Deep Learning is evolving and it is top of the Data Science world. Deep Learning has led to amazing innovations, incredible breakthroughs, and we are only just getting started. A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.
Source: HOB18933
Natural language processing, one of the most exciting components of Artificial Intelligence is all set to rule the way we communicate with the external world. Natural Language Processing uses computational and mathematical methods to analyze the human language to facilitate interactions with computers using conversational language. The most popular approaches to NLP deploy Machine Learning. Natural language processing is improving human-computer conversations at the most advanced levels with applications or systems like Google Duplex, which can act as an agent to perform tasks like making haircut appointments over the phone by conversing with humans.
Source: HOB4908
Deep Learning is a subset of machine learning that deploys algorithms for data processing and imitates the thinking process and even develops abstractions. Deep learning uses layers of algorithms for data processing, understands human speech and recognizes objects visually. Deep Learning is feature extraction which uses an algorithm to automatically construct meaningful features of the data for learning, training and understanding.
Source: HOB5529
Once the Business Intelligence reports and dashboards have been prepared and insights which are extracted from them, this information becomes the basis for predicting future values. And the accuracy of these predictions lies in the methods used.
Source: HOB16890
Do you need to have a math Ph.D. to become a data scientist? Absolutely not! This guide will show you how to learn math for data science and machine learning without taking slow, expensive courses.
Source: HOB7311
Machine learning has been instrumental in solving some of the important business problems such as detecting email spam, focused product recommendation, accurate medical diagnosis etc. The adoption of machine learning (ML) has been accelerated with increasing processing power, availability of big data and advancements in statistical modeling. Fraud management has been painful for banking and commerce industry.
Source: HOB24270
We all have heard about Machine Learning and how it is changing the face of technology is from social media to virtual assistants like Siri and Alexa, IoT and even automobiles, algorithms analyze terabytes of data and make quick decisions.
Source: HOB6750
Online social media is getting more advanced as new technologies are upcoming regularly. Deep learning is the core of machine learning technique which teaches computers to work with what human works. These days deep learning is getting popular than ever before as it is a subset of machine learning which examines algorithms which improves on their own. Advanced technologies like on social media app we can automatically figure a person through his/her picture and Google translates our spoken words into texts accurately is all about the enhancement of recent phenomenon which is deep learning.
Source: HOB11316
Technologies are developing and developing with a wide range of quality every day. There are many new developed functions on our smart-phones which functions much better then they use to be. The fact is that we are continuously interacting with our computers by just talking through the smart techniques, either its Apple's Siri or Google voice. Earlier people do not use any technology but these days it is seen that customers are using speech interfaces very frequently.
Source: HOB3447
Let's imagine it's a fine afternoon and you have written even a finer machine learning algorithm for your model and you expect that it will give you correct results. At this point, if you find something's terribly wrong in the prediction then you are in the right place.
Source: HOB6729
There has been a rapid change which is progressing in this industry in this era. Artificial Intelligence contains deep neural networks which help you to become capable of gathering and then evaluating the complex data which is more accurate and helps human to speed up. The step of innovation is increasing with speed and the tools are becoming more powerful, cost effective and are easily accessible. Nowadays you do not need a tag of a degree or any kind of specialization to tackle artificial intelligence as these tools are becoming a common toolbox for every developer.
Source: HOB4149
The Internet of Things made possible to turn everyday devices into sources of raw data for analysis to generate useful insights for business It has also seen that Artificial Intelligence (AI) is making analytics more productive and efficient at workplaces too. Enterprises expect much more data to be generated in the years to come as compared to the data generated today.
Source: HOB5874
deep learning was only an emerging field and only a few people recognized it as a fruitful area of research. But soon it gained momentum and is used today for several applications. Speech recognition, image recognition, finding patterns in a dataset, object classification in photographs, character text generation, self-driving cars and many more. Hence it is important to be familiar with deep learning and its concepts.
Source: HOB7056
The last century has seen tremendous innovation within the field of arithmetic. New theories are postulated and ancient theorems are created sturdy by persistent mathematicians. And that we are still reaping the advantages of their thorough endeavors to make intelligent machines.
Source: HOB7602
Let's do a quick Turing Test. Below, you'll see ten machine learning project ideas. Five of them are generated by a human and five of them are generated by a neural network. Your task is to tell them apart.
Source: HOB9549
Deep learning seems to be leading as in data science as it is more researched. There are many applications which can help you build a save future as predicted by the data scientist. Deep learning looks hard and intimidating. Applications like TensorFlow, Keras, GPU based computing might scare you but in reality, it is not too hard and its take time effort and time to follow, and applying these applications in regular problems is easy.
Source: HOB24045
Consider this as a collection of references to be consumed over time. These videos range from a few minutes to hour long videos. For your convenience, I have also mentioned the summary against each video for the overview purpose.
Source: HOB12642
Machine learning is developing with a huge growth these days. There are multiple open source tools available which make the application easily. Most of the frameworks of machine learning are fed by a Python programming language, JavaScript is also not lagged behind.
Source: HOB13080
In the course of recent years, users have doubtless seen quantum jumps within the quality of a good scope of normal innovations. Most clearly, the speech recognition functions on our cell phones work far better to something they want to. After we utilize a voice direction to decision our mates, we have a tendency to contact them currently.
Source: HOB11256
Many believed an algorithm of deep learning would transcend humanity with cognitive awareness. Machines would discern and learn tasks without human intervention and replace workers in droves.
Source: HOB31281
Everyone who has been remotely tuned in to recent progress in machine learning has heard of the current 2nd generation artificial neural networks used for machine learning.
Source: HOB10386
Artificial intelligence and machine learning are among the most significant technological developments in recent history. Few fields promise to disrupt life as we know it quite like machine learning, but many of the applications of machine learning technology go unseen.
Source: HOB18252
Get This Report with Special Discount | Artificial Neural Network Software Market report provides key statistics on the market status of the Artificial Neural Network Software manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
Source: https://www.reportsnreports.com/1437
Most technology news as of late somehow relates back to artificial intelligence. The seemingly complex and high-brow technology is integrated into mundane items, such as Amazonâ??s Alexa or Google Home. With talk of artificial intelligence comes to machine learning and deep machine learning. The three phrases can often be conflated, but do refer to three specific technologies.
Source: HOB2010
Python is an object-oriented programming language created by Guido Rossum in 1989. It is ideally designed for rapid prototyping of complex applications. It has interfaces to many OS system calls and libraries and is extensible to C or C++.
Source: HOB25299
Here is a video where you will get to know how to learn deep learning in six weeks. What is the next rocket science in one week? This video will help you learn the art of deep learning and the only prerequisite is knowing basic Python. By the end of this curriculum, you'll have a broad understanding of some of the key technologies that make up deep learning. You might be thinking why deep learning without machine learning. Machine learning is a broad set of algorithms used to derive insights from datasets.
Source: HOB20562
Analytics tools that incorporate machine learning can monitor network behavior, highlight anomalies, and improve performance management and security. Machine learning is a branch of artificial intelligence that focuses on getting a computer to figure out how to solve a problem, instead of humans telling it how to do so.
Source: HOB5559
There is huge material for the people who are interested in the machine learning with python. As we moved to the new year 2019, it is a good time to again visit the concept and get the way for the new learning path for mastering machine learning with Python.
Source: HOB96099
The fine must have skills to become a Machine Learning Engineer are explained well here which may benefit you for making your future safe.
Source: HOB18423
When we talk about machine learning, the eye of the media is a blessing as well as the curse. Although it's great that AI has captivated the general public, the way that the media discusses it often obscures the meaning of the term entirely.
Source: HOB3693
If you're a beginner or experienced as a Data Scientist then you must aware of these data science books. Books are the best source to get insights and increase our knowledge.
Source: HOB4347
Learn deep, Acquire deep and Grab deep. Here you will get some courses which will take you to the way of deep learning, establish your career and gives you in-depth knowledge.
Source: HOB2616
If you want to grab advanced knowledge of cloud computing, these are the books which will give you a detailed picture of cloud computing. These books are the hub of your gaining knowledge.
Source: HOB2751
Machine Learning: An Algorithmic Perspective (Chapman & Hall/CRC Machine Learning & Pattern Recognition) Paperback Import, 8 Apr 2009
Source: HOB4362
An artificial neural network is a network which is designed to solve the complex problems.
Source: HOB4413
Intel's director of its neuromorphic computing initiative, Mike Davies, chided Facebook's Yann LeCun at an industry conference for failing to appreciate the virtues of the Intel technology. He derided the deep learning approach of LeCun and others as failing to truly add up to deep learning.
Source: HOB3735
I decided to write this article to clear out any confusion which anyone feels between Artificial Intelligence (AI), Machine learning (ML) and Deep learning.
Source: HOB5085
Machine Learning is an application of Artificial Intelligence which provides machines with the capability to take decisions without any human intervention.
Source: HOB3429
Some events to attend in March 2019 related to machine learning, artificial intelligence, and deep learning.
Source: HOB3951
In this crash course, you will discover how you can confidently get better performance from your deep learning models in seven days.
Source: HOB22473
Some books enhancing your deep learning studies and making your future learning more deep and meaningful.
Source: HOB3123
Books highlighting you with some machine learning content for fresher graduates as well as professionals.
Source: HOB4071
Data is run by Deep learning algorithms through multiple layers of the algorithms of the neural network each of which passes a simplified representation of the data to the next layer.
Source: HOB26352
Deep Learning has already given so much to us with its wide applications in many fields.
Source: HOB4161
This article is supposed to make you familiar you some of the most useful books on Computer Vision which will give you a thorough understanding of the field and will imbibe deeper understanding in you of the various concepts.
Source: HOB2280
There are various online courses that will help you in developing a good understanding of NLP, some of the best I have listed down here.
Source: HOB6429
This article will take you to the best books that you can find of Deep Learning.
Source: HOB3423
We have reached a stage in technology where it is possible to develop systems which mimic the human brain. This is cognitive computing.
Source: HOB4722
Some courses which are free from edX and will make your learning more influencing and interesting.
Source: HOB2502
Convolutional Neural networks make it possible for machines to visualize world like humans and thus becomes an important concept to learn while working in Computer vision.
Source: HOB4848
The article will take you through the 5 most amazing applications of Deep Learning in which Deep Learning is doing its best to achieve the desired results.
Source: HOB10167
The good point about these resources is that they are readily available online and are free to be used.
Source: HOB9192
Becoming a Machine Learning Engineer in a top company like AMAZON is a dream of every Machine learner. While it seems hard to crack interviews at amazon, with the right set of skills one can easily land up as a machine learning engineer in the company.
Source: HOB1989
This is a new example of style transfer where ML identifies the essential characteristics of a genre in order to create its own examples, such as we've seen before with art and even with cooking.
Source: HOB2130
IPL (Information Processing Language) was the first language developed for artificial intelligence. The language included features to perform general problem solutions.
Source: HOB2763
Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.
Source: HOB2730
Deep Learning is a part or subfield of Machine Learning which uses artificial neural networks to enable machines to learn and perform complex tasks without any human intervention.
Source: HOB2658
A project of the U.S. Army has successfully developed a new framework for deep neural networks that makes artificial intelligence systems capable to learn new tasks better while forgetting less of what they have learned regarding previous tasks.
Source: HOB1938
Deep Learning has become the most debated topic of the 21st century. A lot of students and professionals are really interested in learning Deep Learning.
Source: HOB1869
In this article, we will look at the top 5 online courses for Machine Learning. These courses are designed in a way that every beginner and professional can be benefitted from the course.
Source: HOB4839
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.
Source: HOB1260
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.
Source: HOB2427
Not sure which course you are referring to in particular. The general basics required for machine learning are here.
Source: HOB2106
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. Here are some courses which will make you aware of everything about this technology.
Source: HOB3006
A data scientist is integral to an AI or ML process, in the sense that all of these projects are depending on big data or complex inputs. The data scientist is the essential careerist who knows how to work with data to produce results.
Source: HOB3783
Each chapter focuses on a different area of deep learning. Chapters start with a refresher on the core principles, before sharing the code you need to implement them in PyTorch.
Source: HOB1719
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations, and the execution pipeline.
Source: HOB1734
By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.
Source: HOB1659
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
Source: HOB1710
Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.
Source: HOB1887
Businesses are using machine learning to improve all the outcomes, by optimizing operational workflows and increasing customer satisfaction.
Source: HOB2013
Here is the video of Chatbots using TensorFlow which will give you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning.
Source: HOB1593
In this article, you will get to know some of the best frameworks to get you started with AI development.
Source: HOB1782
Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.
Source: HOB2106
House of bots offers tech-related information, like Artificial technologies, Machine learning, Robotics, Chatbots, Data analytics, Neural Network, and Cloud computing. HOB is the solution for different users like tech-savvy, job providers and job seekers, etc. HOB is a B2B platform.
Source: HOB1917
Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.
Source: HOB6351
Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions which will be of great benefit for your future.
Source: HOB1557
Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.
Source: HOB1941
This complexity means professional teaching programs are still rare and often expensive. But this could all change soon, with a little help from artificial intelligence (AI).
Source: HOB948
PyTorch's key features will be explained and compare it to the current most popular deep learning framework in the world (Tensorflow).
Source: HOB960
Machine Learning is a field which moving rapidly with exponential growth. So we can't predict the future to what will happen even after a few months. Certain guesswork may work for this, where we can analyze the future of machine learning.
Source: HOB720
In the field of Deep Learning, Neural Networks have a wide range of applications. Neural Networks are being used in several industries like E-Commerce, Banking, Manufacturing, etc.
Source: HOB252
Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Here are some famous machine learning tools to learn from some famous books.
Source: HOB21
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