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Sincerely, Amanda ✔

Sincerely, Amanda ✔

Amanda has easily become the most dangerous woman in the dark world of society. Although there is no actual evidence of her birth and existence, everyone fears for their life when they see or even hear about the cruel things she does to her victims. Jason Hill on the other hand has always been known to be a very skilled assassin when accompanied by his team of professionals. Although his criminal name is known worldwide, every day he fears for his family's lives when he's forced to kill innocent people. Read along to see how these two accidentally meet and end up learning how to let down their walls and trust each other, despite having completely different views on the life they each lead.
9.512.6K DibacaTamatDitambahkan ke Perpustakaan sebanyak 427 kali sebagai how does machine learning works
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Trip Series 3: A Trip To Remember

Trip Series 3: A Trip To Remember

MICS ARTEMIA
They say memories stored in our brain could be sometimes forgotten, but then the heart does not forget. Because our heart always remember, the heart recognizes our beloved when our brain couldn't. Years after they lost contact with each other, Zhanaia encountered Dion again on the same place where they met. And funny how destiny works, they met again just like how they first met, accidentally bumping with each other. Zhanaia's heart was filled with joy, she couldn't contain her happiness and jumped to hug Dion, not wanting to let him go again. But all the hope in her shattered when Dion pulled away from her embrace and asked her, "I'm sorry, miss, but... who are you?"
104.8K DibacaTamatDitambahkan ke Perpustakaan sebanyak 134 kali sebagai how does machine learning works
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The Whispers of Heart

The Whispers of Heart

This is the story of four souls Davina, Emmy, Sofia, and Max. Each searching. Each desiring. Each learning, sometimes painfully, that love never arrives clean or easy. But when it does arrive, it changes everything.
376 DibacaOngoingDitambahkan ke Perpustakaan sebanyak 8 kali sebagai how does machine learning works
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I'm the Immortal Business Tycoon

I'm the Immortal Business Tycoon

SATOU, D.
"Days that you need to change back isn't that impossible with a Time Machine." Bold letters were written from the machine itself....One day I got lucky! I found a time-travelling machine! No one knows where this time machine came from. So I did was to try this machine. At first, I don't believe it but it worked! If God sent me this heavenly machine then I won't eat noodles again! Never ever in this life anymore!I can be the best of all!To be continued...Satou, D.
1025.2K DibacaOngoingDitambahkan ke Perpustakaan sebanyak 654 kali sebagai how does machine learning works
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Meeting Mr. Cuddles

Meeting Mr. Cuddles

tamachan33
On the evening of May 17, 20XX, I died. I decided to tell you this story because I thought it was a thing of beauty, albeit filled with agony and grief. No, this is not my story. This is the story of the husband of my best friend, Mary, and how he tried to play God by inventing a time machine to try and save her from death. Listen carefully for this will be the last one I will tell.
1.9K DibacaOngoingDitambahkan ke Perpustakaan sebanyak 58 kali sebagai how does machine learning works
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RUINING MY WIFE

RUINING MY WIFE

"Why are you doing this to me? I'm not a baby making machine!" Tears ran down her cheeks. "This is the only way we can procreate a baby. I will not intimate with you after what you did to me. Never!" Brandon looked at the doctor, and with a sign he gave him permission to tie her to the bed. "You'll pay for this, Brandon." "That's how I ruin my dear wife."
621.7K DibacaTamatDitambahkan ke Perpustakaan sebanyak 652 kali sebagai how does machine learning works
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The Billionaire's Unexpected Soulmate

The Billionaire's Unexpected Soulmate

Rose blaze
“It’s you,” he slides his hand down the nape of her neck. “Or nothing else,” he looked at her like she was the only star in the night sky and leaned close to her lips. “It took me so long to find you, yet, you came exactly when I needed you.” Saying this, she kissed him like he was the air keeping him alive. Love is a patient, soft and everlasting feeling, when you find such love, there will always be a part of your heart that would definitely change. Gavin Garrick was a man full of love, but everything turned black when he lost his parents and the love of his life abandoned him, being alone and facing such tragedy made him build a high wall around him, he became ruthless and cruel, but suddenly, Arielle Patton stumbled into his high walls. But what happens when she discovers the man was not who everyone thought he was? How does learning his secret change everything she pictured him to be? How can he tell if she wasn’t part of their plans to ruin him, when lies and betrayal clouded his worlds? Does she run away from the man who shared the same painful fate as her, or does she heal him? What can she do when she found herself surrounded in a world of wealth? Let’s read to find out!
1.2K DibacaOngoingDitambahkan ke Perpustakaan sebanyak 45 kali sebagai how does machine learning works
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Chased By Nikolas Ardolf

Chased By Nikolas Ardolf

Brooklyn Davis, at nineteen works as a waitress at an upscale restaurant in downtown Chicago. Two days back, her twin brother, Brandon had suddenly disappeared with a message that asked her not to worry about him. Brooklyn is in a strange dilemma when weird things start happening at her workplace. She is watched and stalked by a pair of hazel eyes every day, every minute. Who is the man? Why was he watching her all the time? How will Brooklyn ever get rid of him? At twenty-nine, Nikolas Ardolf is hard, arrogant and a ruthless monster who only understands two things, business and money. Having been abandoned on the streets at birth, he had a very hard childhood but all that changed when he was picked up by the ruthless old man, Daniel Ardolf, unmarried and the sole owner of Ardolf Winery. He hates women after his own mom had betrayed him. Then why does he stalk the innocent Brooklyn everyday? What does he want? Why can't he stay away from her?  Read this passionate love story of how Nikolas Ardolf chases the sweet Brooklyn. Will he get what he wants?
1056.0K DibacaTamatDitambahkan ke Perpustakaan sebanyak 2.2K kali sebagai how does machine learning works
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Lawaughn
Awesome! One of the best love stories that I’ve read on this site. Great storyline, written well, characters that you can fall in love with and not drawn out. Held my interest from start to finish. Keep up the great work author will be reading more of your completed work.
Kandy
Amazing story! I’m still disappointed in Ryder, but I’m happy Nik and Brooklyn were able to figure things out. I would have loved to know about Brandon and Gia, or whoever the knew woman was in his life.
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Fighting For Normal

Fighting For Normal

She had her whole junior year mapped out. Volleyball. Late nights with her friends. Maybe telling her brother's best friend the thing she's been not-saying for two years. Then her left leg started hurting and a Tuesday trip to the ER rewrote everything. Sloane Deshazo, sixteen, has spent her whole life being easy to love. No drama, no needs, no complications. Ewing Sarcoma, stage 2, doesn't care about any of that. And neither, it turns out, does Chandler Pavelka, who keeps showing up without being asked, in yesterday's jeans and an inside-out hoodie, like staying is the most obvious thing in the world. Sloane knows how to fight. She's learning, slower, how to let someone stay. But remission isn't guaranteed, and some days the scariest thing isn't the diagnosis. It's wanting something this much.
233 DibacaOngoingDitambahkan ke Perpustakaan sebanyak 5 kali sebagai how does machine learning works
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The ultimatum

The ultimatum

Janet Jackson is a 25 years old woman who works in one of the best companies in New York. She does all the shit a personal assistant is meant to do. Eros Kingston is her boss and for the first time he really notices her and needs her help because of the ultimatum his dad gave him. ◇Read the story to find out what happens, will Janet be able to control how she feels around Eros even if it's for a few days?months? ◇ ~~~~~~ "Wow. So why are you telling me this?" "I already said it. I need your help." "How I'm I going to help you." She chuckled, "be your wife?" She looked at me straight in the eye and when she saw I wasn't laughing with her she knew I was serious. "You're joking right?" "I wish I was, trust me."
9.86.4K DibacaTamatDitambahkan ke Perpustakaan sebanyak 219 kali sebagai how does machine learning works
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